Podcasts about error correction

SandboxAQ is a unique private research firm spun-out of Google that specializes in synthesizing AI and Quantum Computing (1:00) - AI and the Quantum Computing Frontier (5:25) - NVIDIA GTC Quantum Day--Showdown at the QC Corral! (9:00) - What Is the 3rd Quantum Revolution? (12:20) - Google Willow, Qubits, and Error Correction (19:15) - Boeing Tests Quantum Sensors vs GPS (23:30) - Q-Day and Post-Quantum Cryptography (27:45) - CEOs Face Quantum Judgement Day (31:30) - Finding & Nurturing Bright Young Talent for QC Podcast@Zacks.com Current Promo for Kevin Cook's Quantum Computing Report: https://www.zacks.com/registration/pfp/?alert=RPT_QUANTCOMPUTING_A1180

In this episode of Impact Quantum, we delve into the latest developments that are reshaping the quantum computing landscape. Our hosts Frank La Vigne, Candace Gillhoolley, and Andy Leonard discuss Amazon AWS's announcement of the Ocelot, its first quantum computing chip designed to tackle the critical issue of error correction. They explore whether this innovation is the game-changer the industry needs or merely another milestone in the long journey towards practical quantum computing. The conversation also covers how major technology players like Google, IBM, Microsoft, and significant international efforts, such as those from China, are intensifying the quantum race. Tune in as the team contemplates the potential for collaboration among these giants to build a unified quantum future and debates the complexities and challenges that lie ahead in error correction, thermal management, and more. Whether you're quantum curious, a seasoned expert, or simply here for the engaging insights, this episode promises an intriguing deep dive into the future of computing.Show Notes00:00 Impact Quantum: Tackling Error Correction05:42 "Quantum Market Paradox"07:30 Future of Quantum Computing Debate10:53 Quantum Computing's Impact on Market15:27 Quantum Advances in Computing Impact18:47 Apple Silicon's Shared Memory Advantage20:09 "Quantum Curious: Reviving the Show"25:32 Future Quantum Encryption Possibilities27:40 "Encryption: From Military Tech to Commerce"32:27 Embracing Innovation's Next Steps35:54 Gas Prices Impact Convenience Stores39:18 Quantum Computing: Episode Wrap-Up

Quantum computing needs low-overhead error correction to truly scale. Building thousands of qubits to end up with a couple of useful logical ones feels like a bad strategy. Photonic recently published a paper describing a new type of error correction code that promises a 20x reduction in the number of qubits needed to run quantum algorithms that solve real business problems. Are these so-called SHYPS QLDPC codes the path to fault-tolerant systems? Will they help multiple types of quantum chips from other vendors get there? Join host Konstantinos Karagiannis for a chat about error correction and more with Stephanie Simmons from Photonic.  For more information on Photonic, visit https://photonic.com/.  Read the technical paper “Computing Efficiently in QLDPC Codes”: https://photonic.com/wp-content/uploads/2025/02/Computing-Efficiently-in-QLDPC-Codes.pdf.  Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech.       Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.

Meet a winner of the Physics World 2024 Breakthrough of the Year

One of Jesse's takeaway from the recent YNAB Fan Fest in Salt Lake City is that YNAB'ers are good at iterating. They make a plan for their money, spend the money, and reflect on whether the spending was on things they were really looking for. Then, they adjust the plan. In the process, they're not just learning how to manage money, they're learning more about themselves.   Got a question for Jesse? Send him an email: askjesse@ynab.com   Sign up for a free 34-day trial of YNAB at www.youneedabudget.com   Follow YNAB on social media: Facebook: @ynabofficial Instagram: @ynab.official Twitter/X: @ynab Tik Tok: @ynabofficial

Here I present a "positive vision" of the kind I complained was absent in the episode right before this ("Criticism is never enough"). Here I am riffing off a line which contains a deep truth out of the Beginning of Infinity where Socrates is speaking with the god Hermes. In that passage David links a moral injunction "Do not" to an epistemological concept (error). From this stepping stone I explore some of the institutions which emerge from such a commitment, but which themselves can also be regarded as fundamental features of a dynamic society.

A whimsically-named quantum company named Alice & Bob actually has a quantum chip in the Google Cloud marketplace. Its "cat qbits" solve a massive issue that affects all other quantum chips. And it might just make quantum computing actually matter In this episode of TechFirst, host John Koetsier explores the fascinating paradox of building a quantum computer with Théau Peronnin, CEO and co-founder of Alice and Bob. They talk about the unique challenges and potential breakthroughs in quantum computing, discussing how Alice and Bob's quantum chip aims to overcome the notorious problems of bit flips and phase flips. Théau explains the concept of a universal quantum computer, the importance of error correction, and the revolutionary impact quantum computing could have on science, technology, and industry. 00:00 Introduction to Quantum Computing 02:16 Understanding Universal Quantum Computers 06:25 Challenges in Quantum Computing 09:08 Error Correction in Quantum Computing 13:13 Future of Quantum Computing 20:57 Geopolitical and Economic Implications 25:30 Conclusion and Final Thoughts

Welcome back to The New Quantum Era, the podcast where we explore the cutting-edge developments in quantum computing. In today's episode, hosts Sebastian Hassinger and Kevin Rowe are joined by Dr. Julien Camirand Lemyre, the CEO and co-founder of Nord Quantique. Nord Quantique is a startup spun out from the University of Sherbrooke in Quebec, Canada, and is making significant strides in the field of quantum error correction using innovative superconducting qubit designs. In this conversation, Dr. Camirand Lemyre shares insights into their groundbreaking research and the innovative approaches they are taking to improve quantum computing systems.Listeners can expect to learn about:Dr. Camirand Lemyre's journey into quantum computing and the founding of Nord Quantique.The unique approach Nord Quantique is taking with Bosonic code qubits and how they differ from traditional fermionic qubits.The recent research paper by Nord Quantique that demonstrates autonomous quantum error correction, a significant step forward in the field.The potential impact of these advancements on reducing the overhead of error correction in quantum systems.Future directions and next steps for Nord Quantique, including further optimization and development of their quantum technology.Highlights:Julien Camirand Lemyre's Background: Dr. Camirand Lemyre shares his academic journey and how it led to the founding of Nord Quantique.Bosonic Qubits: An exploration of how Nord Quantique is leveraging Bosonic qubits for better quantum error correction.Autonomous Quantum Error Correction: Discussion on the recent research paper and its implications for the field of quantum computing.Technological Innovations: Insights into the specific technological advancements and controls Nord Quantique is developing.Future Plans: Dr. Camirand Lemyre shares what's next for Nord Quantique and their ongoing research efforts.Mentioned in this episode:Nord Quantique: WebsiteUniversity of Sherbrooke: WebsiteInstitut Quantique: WebsiteQ-Ctrl: WebsiteTune in to hear about these exciting developments and what they mean for the future of quantum computing!

In this episode, Mira and Chris talk with Markus Müller, a member of ML4Q and Professor at RWTH Aachen University and Forschungszentrum Jülich. Markus, an expert in quantum error correction, explains its importance in building large-scale quantum computers. He has supported pioneering logical qubit experiments on various platforms, including ion traps and superconducting qubits. They also discuss his recent work on avoiding mid-circuit measurements, a technique that benefits certain architectures and chip designs.

The title is long enough so you look for more here? ;) This one is largely, in truth about energy and what it can do for us. Across the almost 90 minutes I cover how the concepts in the title logically cohere and depend one upon the other and we take a look at "the universal constructor" and compare the possibilities for an optimistic distant future with the reality of our situation now. Fair warning: many Australian examples are employed here. A tiny bit of Trump, a dashing of Deutsch, a yard of Yaron, morsels of Musk, some of Australia's mining magnates for better or worse and plenty of physics, philosophy and even politics. Those on my livestream may have heard a less polished (more profanity stricken) version of some of this material. This is me back to being polite even if there are reasons for frustration...   (See Youtube version for graphs, data and so on: https://youtu.be/ovs18b10d4Q )

Error correction typically involves a lot of physical qubits and using them to create one logical qubit. Ratios vary by modality and approach, so getting a single fault-tolerant qubit may take seven to a thousand physical ones. What if there was a way to correct most of the errors that appear on each qubit instead? Scaling up from there would certainly be much easier, getting us to machines that can reliably solve business problems. Join host Konstantinos Karagiannis as he discusses the details behind one such new approach with Julien Camirand Lemyre from Nord Quantique.  For more on Nord Quantique, visit https://nordquantique.ca/en/home.  Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech.  Questions and comments are welcome!   Theme song by David Schwartz, copyright 2021.   The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Welcome to another intense episode of Impact Theory, I'm Tom Bilyeu!  In today's episode, I'm joined by Sam Harris and Konstantin Kisin to dive deep and debate the pressing issues surrounding misinformation, corruption, credibility, and the societal impact of distorted realities.  Sam Harris is a neuroscientist, philosopher, best-selling author, and podcast host whose work focuses on how a growing understanding of ourselves and the world is changing our sense of how we should live. Konstantin Kisin is a Russian-born comedian, author, and podcast host that explores complex topics with a blend of humor and serious inquiry, making acute observations about modern societal trends and challenges. Together, we dissect the challenges of navigating the modern information landscape, combatting cognitive biases, and championing the pursuit of truth in a world where truth itself seems increasingly elusive.  We also discuss:  - Importance of Pursuing Truth and Independent Thinking - Overcoming Bias in Perception - Influence of Social Media on Discourse and Truth - Necessity of Error Correction in Knowledge Growth - Challenges in Determining Truth and Reality - Media Influence on Public Opinion and Reality - Individual Rights in the West - Upholding Liberal Democracy This is just Part 1 of our conversation, so make sure you don't miss Part 2 as the debate continues between Sam Harris and Konstantin Kisin! Follow Sam Harris: Website: https://www.samharris.org/  X: https://x.com/MakingSenseHQ YouTube: https://www.youtube.com/@samharrisorg Follow Konstantin Kisin: Website: http://konstantinkisin.com/  X: https://x.com/KonstantinKisin Podcast: https://www.triggerpod.co.uk/ Follow Me, Tom Bilyeu:  Website: https://impacttheoryuniversity.com/  X: https://twitter.com/TomBilyeu Instagram: https://www.instagram.com/tombilyeu/ If you want to dive deeper into my content, search through every episode, find specific topics I've covered, and ask me questions. Go to my Dexa page: https://dexa.ai/tombilyeu Themes: Mindset, Finance, World Affairs, Health & Productivity, Future & Tech, Simulation Theory & Physics, Dating & Relationships SPONSORS: NetSuite has extended its one-of-a-kind flexible financing program for a few more weeks! Head to https://NetSuite.com/THEORY.  Use this link and Hartford Gold will give you up to $15,000 dollars of FREE silver on your first qualifying: order.offers.americanhartfordgold.com/content-affiliate/?&leadsource=affiliate&utm_sfcampaign=701Rb000009EnmrIAC Explore the Range Rover Sport at https://landroverusa.com Go to https://shopify.com/impact now to grow your business–no matter what stage you're in Get 5 free AG1 Travel Packs and a FREE 1 year supply of Vitamin D with your first purchase at https://drinkag1.com/impact. Secure your digital life with proactive protection for your assets, identity, family, and tech – Go to https://aura.com/IMPACT to start your free two-week trial. Take control of your gut health by going to https://tryviome.com/impact and use code IMPACT to get 20% off your first 3 months and free shipping. ***Are You Ready for EXTRA Impact?*** If you're ready to find true fulfillment, strengthen your focus, and ignite your true potential, the Impact Theory subscription was created just for you.  *New episodes delivered ad-free, EXCLUSIVE access to hundreds of archived Impact Theory episodes, Tom AMAs, and so much more!* This is not for the faint of heart. This is for those who dare to learn obsessively, every day, day after day. *****Subscribe on Apple Podcasts: https://apple.co/3PCvJaz***** Subscribe on all other platforms (Google Podcasts, Spotify, Castro, Downcast, Overcast, Pocket Casts, Podcast Addict, Podcast Republic, Podkicker, and more) : https://impacttheorynetwork.supercast.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Carl talks about the interplay between our use of capital—which he defines as time, money, energy, and attention—and what truly matters to us. He navigates the complexities of self-awareness and the pursuit of authenticity in our daily lives. Want more from Carl? Get the shortest, most impactful weekly email on the web! Sign up for the Weekly Letter from Certified Financial Planner™ and New York Times columnist Carl Richards here: https://behaviorgap.com/

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Simple versus Short: Higher-order degeneracy and error-correction, published by Daniel Murfet on March 11, 2024 on LessWrong. TLDR: The simplicity bias in Bayesian statistics is not just a bias towards short description length. The folklore relating the simplicity bias in Bayesian statistics to description length is incomplete: while it is true that the fewer parameters you use the better, the true complexity measure which appears in the mathematical theory of Bayesian statistics (that is, singular learning theory) is more exotic. The content of this complexity measure remains quite mysterious, but in this note we point out that in a particular setting it includes a bias towards runtime error-correction. This suggests caution when reasoning about the role of inductive biases in neural network training. Acknowledgements. Thanks to Jesse Hoogland, Liam Carroll, Rumi Salazar and Simon Pepin Lehalleur for comments. 1. Background 1.1 Relevance to Deep Learning Consider the problem of solving an ordinary differential equation. A constructive proof involves actually writing down a solution, or an algorithm that in finite time will produce a solution. The Picard-Lindelöf theorem proves that a solution to a broad class of initial value problems exists, but the proof is not constructive: it sets up a contraction mapping on a complete metric space and appeals to the Banach fixed point theorem. While the Picard-Lindelöf theorem uniquely characterises the solution as the fixed point of a contraction mapping, and gives an iterative process for approximating the solution, it does not construct the solution. However a construction is not necessary for many of the applications of Picard-Lindelöf (in differential geometry, topology and many parts of analysis). This mode of reasoning about mathematical objects, where it suffices to have characterised[1] them by (universal) properties, is pervasive in modern mathematics (in the above example, the characterising property is the differential equation, or its associated contraction mapping). However this may seem quite alien to a computer scientist or programmer, who for historical reasons tend to think that there is only one mode of reasoning about mathematical objects, and that is centred on the study of a construction. In an era where programs are increasingly the product of gradient descent rather than human construction, this attitude is untenable. We may have to accept a mode of reasoning about learned programs, based on understanding the nature of the problems to which they are a solution and the iterative processes that produce them. To understand the implicit algorithms learned by neural networks, it may be necessary from this perspective to understand the computational structures latent in the data distribution, and the inductive biases of neural network training. We do not currently have a good understanding of these matters. If we understood these inductive biases better, it could conceivably help us in the context of AI alignment to answer questions like "how likely is deceptive alignment", "how likely is consequentialism", and "what goals are instrumentally convergent"? This note is about the inductive biases of the Bayesian learning process (conditioned on more samples, the posterior increasingly localises around true parameters). Since Bayesian statistics is both fundamental and theoretically tractable, this seems potentially useful for understanding the inductive biases of neural network training. However it is worth noting that the relation between these is not understood at present. 1.2 Singular Learning Theory The asymptotic expansion of the Bayesian free energy, or "free energy formula'', proven by Watanabe in Singular Learning Theory (SLT) introduces the learning coefficient λ as a measure of complexity that balances ...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Simple versus Short: Higher-order degeneracy and error-correction, published by Daniel Murfet on March 11, 2024 on LessWrong. TLDR: The simplicity bias in Bayesian statistics is not just a bias towards short description length. The folklore relating the simplicity bias in Bayesian statistics to description length is incomplete: while it is true that the fewer parameters you use the better, the true complexity measure which appears in the mathematical theory of Bayesian statistics (that is, singular learning theory) is more exotic. The content of this complexity measure remains quite mysterious, but in this note we point out that in a particular setting it includes a bias towards runtime error-correction. This suggests caution when reasoning about the role of inductive biases in neural network training. Acknowledgements. Thanks to Jesse Hoogland, Liam Carroll, Rumi Salazar and Simon Pepin Lehalleur for comments. 1. Background 1.1 Relevance to Deep Learning Consider the problem of solving an ordinary differential equation. A constructive proof involves actually writing down a solution, or an algorithm that in finite time will produce a solution. The Picard-Lindelöf theorem proves that a solution to a broad class of initial value problems exists, but the proof is not constructive: it sets up a contraction mapping on a complete metric space and appeals to the Banach fixed point theorem. While the Picard-Lindelöf theorem uniquely characterises the solution as the fixed point of a contraction mapping, and gives an iterative process for approximating the solution, it does not construct the solution. However a construction is not necessary for many of the applications of Picard-Lindelöf (in differential geometry, topology and many parts of analysis). This mode of reasoning about mathematical objects, where it suffices to have characterised[1] them by (universal) properties, is pervasive in modern mathematics (in the above example, the characterising property is the differential equation, or its associated contraction mapping). However this may seem quite alien to a computer scientist or programmer, who for historical reasons tend to think that there is only one mode of reasoning about mathematical objects, and that is centred on the study of a construction. In an era where programs are increasingly the product of gradient descent rather than human construction, this attitude is untenable. We may have to accept a mode of reasoning about learned programs, based on understanding the nature of the problems to which they are a solution and the iterative processes that produce them. To understand the implicit algorithms learned by neural networks, it may be necessary from this perspective to understand the computational structures latent in the data distribution, and the inductive biases of neural network training. We do not currently have a good understanding of these matters. If we understood these inductive biases better, it could conceivably help us in the context of AI alignment to answer questions like "how likely is deceptive alignment", "how likely is consequentialism", and "what goals are instrumentally convergent"? This note is about the inductive biases of the Bayesian learning process (conditioned on more samples, the posterior increasingly localises around true parameters). Since Bayesian statistics is both fundamental and theoretically tractable, this seems potentially useful for understanding the inductive biases of neural network training. However it is worth noting that the relation between these is not understood at present. 1.2 Singular Learning Theory The asymptotic expansion of the Bayesian free energy, or "free energy formula'', proven by Watanabe in Singular Learning Theory (SLT) introduces the learning coefficient λ as a measure of complexity that balances ...

Making mistakes isn't all bad. Unless those mistakes result in faulty stimulus control during skill acquisition. But, fret not, this week we dive into some of the options available as you craft your programs to respond to errors in a way to maximize learnining efficiency while taking the preferences of your client into account. Basically, how to teach the fastest while being the least annoying. And does correcting errors actually work better than avoiding them? This episode is available for 1.0 LEARNING CEU. Articles discussed this episode: Leaf, J.B., Cihon, J.H., Ferguson, J.L., Milne, C.M., Leaf, R., & McEachin. (2020). Comparing error correction to errorless learning: A randomized clinical trial. The Analysis of Verbal Behavior, 36, 1-20. doi: 10.1007/s40616-019-00124-y Carroll, R.A., Joachim, B.T., St. Peter, C.C., & Robinson, N. (2015). A comparison of error-correction procedures on skill acquisition during discrete-trial instruction. Journal of Applied Behavior Analysis, 48, 257-273. doi: 10.1002/jaba.205 Carroll, R.A., Owsiany, J., & Cheatham, J.M. (2018). Using an abbreviated assessment to identify effective error-correction procedures for individual learners during discrete-trial instruction. Journal of Applied Behavior Analysis, 51, 482-501. doi: 10.1002/jaba.460 Cariveau, T., Montilla, A.L.C., Gonzalez, E., & Ball, S. (2019). A review of error correction procedures during instruction for children with developmental disabilities. Journal of Applied Behavior Analysis, 52, 574-579. doi: 10.1002/jaba.524 If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

Earl Campbell, VP of Quantum Science at Riverlane, is interviewed by Yuval Boger. Earl and Yuval discuss the challenges and solutions in making quantum computing practical, including creating reliable qubits in large numbers and managing noise as systems scale. Earl emphasizes that the number of physical qubits needed for a logical qubit varies based on error rates and the type of error correction code used. He notes his belief about upcoming breakthroughs in the industry and much more.

In this special off-cycle release of Episode 76, Patrick and Ciprian speak with returning guest Yuval Boger (QuEra), and first time guests Harry Zhou (QuEra and Harvard) and Dolev Bluvstein (Harvard).The team discusses a historical announcement regarding groundbreaking advancements in Quantum Error Correction utilizing transversal gates to create the first logical Quantum processor.QuEra also announced a special event on Jan 9th at 11:30 AM ET, where QuEra will reveal its commercial roadmap for fault-tolerant quantum computers. Register for this online event at:   https://quera.link/roadmap. Yuval Boger is the CMO of QuEra, the leader in neutral atom quantum computers. In his career, he has served as CEO and CMO of frontier-tech companies in markets including quantum computing software, wireless power, and virtual reality. His "Superposition Guy's Podcast" hosts CEOs and other thought leaders in quantum computing, quantum sensing, and quantum communications to discuss business and technical aspects that impact the quantum ecosystem.Hengyun (Harry) Zhou is a research scientist at QuEra Computing and Harvard University. His PhD work from Prof. Mikhail Lukin's group at Harvard made key contributions to quantum sensing and quantum many-body physics and was recognized as a finalist for the American Physical Society's (APS) Division of Atomic, Molecular and Optical Physics (DAMOP) thesis prize. His recent work focuses on novel quantum error correction schemes for neutral atom quantum computers, with the promise to drastically reduce the requirements for building large-scale quantum computers.Dolev Bluvstein is an experimental physics PhD student working in Prof Mikhail Lukin's lab at Harvard and a recipient of the Hertz Fellowship. He is the lead-author of the original work on programming quantum circuits with the motion of neutral atoms as well as the recent work realizing error-corrected quantum circuits on many logical qubits.

Drawing on Chapter 15 "The Evolution of Culture" from "The Beginning of Infinity" by David Deutsch and then applying it to some special cases. Come and chat to me about this or anything else at https://www.getairchat.com/brett Timestamps: 00:00 Speech, Trade and Democracy 02:39 Is Democracy under attack? 07:05 Free Speech as Error Identification 09:14 Limits on Free Speech? 13:02 Case Study 1: North Korea 14:18 Case Study 2: Afghanistan and Iraq 17:30 Case Study 3: South Korea 19:43 Case Study 4: China 24:43 The Evolution of Culture by David Deutsch 1 29:43 Protecting liberty in Western Nations 30:30 Bringing Liberty to nations without it. 32:25 Case Study 5: Japan 35:01 Immigration: Why worry? 35:58 The Evolution of Culture by David Deutsch 2 39:01 Preserve the means of error correction at all costs Support me at www.bretthall.org

Prof. Misha Lukin (Harvard), Dolev Bluvstein (Harvard), and Harry Zhou (Harvard and QuEra), co-authors of a recent Harvard-led work in quantum error correction, published in Nature, are interviewed by Yuval Boger. The authors highlight the evolution from physical to logical qubits and the realization of up to 48 logical qubits and emphasize the significance of error correction in maintaining quantum states in large systems. They discuss using neutral atoms and optical tweezers in their experiments, the scalability of their methods, and the potential for practical applications. The conversation touches on future directions and much more.

Proverbs 3:11-12 My son, do not despise the chastening of the Lord, nor detest His correction; for whom the Lord loves He corrects, just as a father the son in whom he delights. To support this ministry financially, visit: https://www.oneplace.com/donate/1232/29

What are our choices when it comes to errors when working with our students? We know that there is no one approach that will work for all of our students with autism because each student is different. However, it may be helpful to have a default approach that we begin with and make adjustments as needed based on the student, their needs, and their performance. In this episode, I am sharing how to decide when to use errorless teaching or correct errors, how prompting fits into this, tips for using these approaches, and what action steps you can take to improve the consistency of handling errors in your classroom.02:47 - What errorless teaching is, and examples of how it is used04:40 - How to handle errors when you allow them to happen06:18 - Options for what to do when students wouldn't respond well to being told their answer is wrong07:06 - The role of reinforcement in error correctionShow Notes: http://autismclassroomresources.com/episode185Resources:What Are Stimulus Prompts? Or If I Don't Tell Them the Answer, What Other Kinds of Prompts Are There?What Do I Do About Errors in Discrete Trials? The Errorless Learning v. Error Correction ConundrumWhat are Prompts? 5 Main Types of Prompts in a Free InfographicJoin the Autism Classroom Resources' Free Resource Library Get more information about the Special Educator AcademyJoin the Free Facebook Group If you're enjoying this podcast, could you please take a quick moment to leave your review on Apple Podcasts? It would mean the world to me and will help spread the word to other special educators. ⭐️⭐️⭐️⭐️⭐️

Discover how quantum mechanics is reshaping our understanding of time, reestablishing computational capabilities, and ensuring the security of sensitive data transmission.  Guest Monika Schleier-Smith is a physicist who says that quantum principles, like entanglement, can make atoms do funny things, such as allowing two atoms to share secrets across great distances. While entanglement opens tantalizing possibilities like quantum computing, there's still much we don't know about quantum mechanics. She now uses lasers to “cool” atoms to near motionlessness as a starting point for controlling and proving entanglement, as she tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.Chapter Timestamps:(00:00:00) Opening Remarks Monika Schleier Smith, a distinguished professor of physics at Stanford University, kickstarts the episode by introducing the enthralling world of quantum mechanics.Russ Altman introduces the episode and welcomes Monika Schleier Smith to discuss quantum mechanics and entanglement. And he encourages listeners to engage with the podcast by rating and reviewing it.(00:02:50) Quantum Mechanics FundamentalsMonika provides insights into the fundamental principles of quantum mechanics, including the concept of quantum uncertainty.(00:04:22) Embracing Entanglement The episode delves into the concept of entanglement, highlighting its non-local properties and the intriguing correlations between particles.(00:06:55) Initiating Quantum Entanglement Monika explains the initial interactions required to establish quantum entanglement between particles. Explore the challenges in preserving entanglement and the impact of quantum measurement.(00:10:12) Laser-Cooled Atoms in Research Monika Schleier Smith sheds light on her lab's laser-cooled atoms research and their vital role in entanglement studies.(00:11:39) The Doppler Effect and Slowing AtomsMonika explains the Doppler effect and its role in slowing down atoms using laser beams. Russ Altman connects the Doppler effect to everyday experiences, like the sound of approaching vehicles.(00:13:04) Tracking and Holding AtomsMonika describes the next steps in their experiments, involving tracking and holding well-controlled atoms in a vacuum. Russ Altman mentions the challenges of maintaining atoms at low temperatures and in isolation.(00:14:49) Getting Atoms to TalkMonika explores the need for entanglement and how it involves making atoms interact. Different approaches, including using Rydberg states and optical resonators, are mentioned.(00:16:17) Leveraging Light as a MessengerMonika introduces the concept of using light to convey information between atoms. The discussion includes optical resonators and controlling interactions on different length scales. Russ Altman jokingly mentions the potential size of the lab.(00:16:32) Preserving EntanglementMonika highlights the challenge of preserving entanglement and preventing information leakage to the outside world. The importance of maintaining secrecy for entangled states is emphasized.(00:17:34) Proving EntanglementMonika explains the need for proving entanglement, distinguishing it from classical correlations. She mentions John Bell's contributions to the theory of proving entanglement. Russ Altman seeks clarification on classical correlations.(00:20:13) Measuring Incompatible ObservablesMonika outlines the measurement of incompatible observables as a way to prove entanglement. The discussion touches on the concept of spin for atom measurements.(00:22:19) Quantum Computing Potential The conversation shifts to quantum computing, where Monika discusses how quantum bits (qubits) can provide computational advantages over classical bits, paving the way for solving complex problems like drug discovery and material science.(00:28:15) Quantum Communication Secrets Monika sheds light on quantum communication's ability to secure data transmission by leveraging the principles of entanglement and quantum error correction. (00:32:39) Conclusion & closing Russ and Monika wrap up their enlightening conversation, emphasizing the ongoing pursuit of quantum knowledge and technology.

Through effective prompting, we're able to help our learners succeed. Here, we dive into the hierarchy of prompting so we can use it in the best way possible. We use prompting in our everyday lives, like when we use calendar invites to keep us on track and remember important events. In the world of ABA, prompts are a way to guide our learners to the correct response. Prompts come after the introduction of the stimulus and before the learner's response. They're typically based on prior history, and they're put in place before the learner makes errors so they can avoid practicing those errors.There are many ways to use prompting, and we discuss examples of how it looks in action. We discuss the importance of repetition and modeling and why they help learners become more successful. The hierarchy of prompts is structured from the least intrusive to the most intrusive, and we talk about how to choose which ones to use. We also discuss fading prompts, why verbal prompts are the hardest to fade, and how to use least-to-most prompting.  What's Inside:The hierarchy of prompts and how to choose which to use.Why verbal prompts are the hardest to fade.How to use least-to-most prompting.Mentioned In This Episode:HowToABA.com/joinHow to ABA on YouTubeFind us on FacebookFollow us on InstagramError Correction VideoTransfer TrialsFree Prompt Hierarchy Visual

ERROR CORRECTION!! The "Round" SMB1 after the traveling the world segment was supposed to say "Oval" BREAKING NEWS!! CGC explodes onto eBay and PWCC lays off 40 collectors... Recorded LIVE in Las Vegas under FREE SPEECH for educational purposes Cover art owned & taken by labman1717 (151) --- Send in a voice message: https://podcasters.spotify.com/pod/show/gamegallery/message

We often hear that the path to fault-tolerant quantum computing will require error correction. How will this technique work? Join host Konstantinos Karagiannis for a chat with Yonatan Cohen, Chief Technology Officer at Quantum Machines, about this and other scaling technologies. Also, learn how Quantum Machines is working on all aspects of hybrid control of quantum and classical processors to yield practical, real-world application results as qubit counts grow.For more on Quantum Machines, visit www.quantum-machines.co/.Visit Protiviti at www.protiviti.com/postquantum to learn more about how Protiviti is helping organizations get post-quantum ready.         Follow host Konstantinos Karagiannis on Twitter and Instagram: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech.          Contact Konstantinos at konstantinos.karagiannis@protiviti.com.          Questions and comments are welcome!          Theme song by David Schwartz. Copyright 2021.   

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In Episode 52, Patrick and Ciprian speak with returning guest Todd Brun of the University of Southern California.Among other topics, the team discuss error correction, non-Markovian errors, the limitations of current quantum processors and the battle between numbers of Qubits and amounts of noise.Todd Brun is a Professor of Electrical and Computer Engineering, Physics, and Computer Science at the University of Southern California.  He does research on quantum theory, especially on the problems of quantum computing and quantum information science.  Prof. Brun received his Ph.D. in Physics from Caltech in 1994, and did postdoctoral work at the University of London (Queen Mary and Westfield College), the Institute for Theoretical Physics in Santa Barbara, Carnegie Mellon University, and the Institute for Advanced Study in Princeton, before starting at USC in 2003.

Michael Biercuk, CEO and founder of Q-Ctrl, a company that makes infrastructure software towards making quantum technology useful, is interviewed by Yuval Boger. Michael and Yuval talk about quantum control, a discipline that helps stabilize unstable systems, its application to quantum computers and quantum sensors, Q-Ctrl's educational software, and much more.

Have you ever wondered what to do when you're reading with your kiddo at home and they make a mistake? In this episode, I'm joined by a special guest, Lindsey Norton. Lindsey is a former classroom teacher turned private tutor. She's the owner of Kids Tutoring Online and she's been educating preschoolers-fifth graders since 2014. Lindsey is 100% committed to the Science of Reading and using Orton-Gillingham methods for all students. Lindsey is on pace to become a certified Orton-Gillingham practitioner at the Associate level by May of 2022. Tune in to this episode as we chat about error correction and feedback for students. Lindsey offers four great tips for how to handle this tricky situation. Resources mentioned in this episode: Teaching with Love and Logic by Jim Fay and David Funk Orton-Gillingham Error Technique Corrections Video Phonics International The Jolly Postman by Janet and Allen Ahlberg Nibbles the Book Monster by Emma Yarlett If you'd like more from Lindsey, check out Kids Tutoring Online. You can also follow her on Facebook and Instagram. If you'd like to support this podcast in a small way, you can do so right here. Please know that any support you can offer is so very appreciated! If you want to follow me on social media I can be found at the following links: Facebook, Instagram, and Pinterest Or check out my website at Your Reading Tutor for more reading resources and support! And don't forget to get my FREE Reading Rewards System and get your kids excited about reading today! Music from this podcast was used with permission from Epidemic Sound. --- Support this podcast: https://anchor.fm/thereadingproject/support

Co-host Logan Clark is a current Nebraska Wesleyan University player and Kansas referee. He speaks with Gordie about his journey and balancing playing and refereeing. Error Correction/ Recovery: Our second segment of "Coffee with Christina" talks about how we deal with and navigate the inevitable errors that occur in our games. A Chat with Greg Barkey: Former FIFA AR and PRO's Manager of Video Review discusses his journey, the current state of VAR and answers some fan questions. --------------------------------------------------------------------------------- Superepic by Alexander Nakarada | https://www.serpentsoundstudios.com Music promoted by https://www.chosic.com/free-music/all/Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/... Energetic Drink by LesFM | https://lesfm.net/energetic-backgroun... Music promoted by https://www.chosic.com/free-music/all/Creative Commons CC BY 3.0 https://creativecommons.org/licenses/... When I Was A Boy by Tokyo Music Walker | https://soundcloud.com/user-356546060 Music promoted by https://www.chosic.com/free-music/all/Creative Commons CC BY 3.0 https://creativecommons.org/licenses/...

Sincere apologies to any of you who have experienced issues in listening to the full audio for 7 Major Challenges Facing Female Arabic Speakers Of ESL English & How To Overcome Them To Achieve Confident Conversational Clarity. I have checked and it appears an issue on the Anchor Platform resulted in the main segment being omitted! This has now been corrected and you can hear the full episode here: https://anchor.fm/markinmanilacamblyesl/episodes/7-Major-Challenges-Facing-Female-Arabic-Speakers-Of-ESL-English--How-To-Overcome-Them-To-Achieve-Confident-Conversational-Clarity-e1qoeol --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/markinmanilacamblyesl/message Support this podcast: https://anchor.fm/markinmanilacamblyesl/support

Mark Jackson, senior quantum evangelist at Quantinuum is interviewed by Yuval Boger. Mark and Yuval talk about optimizing compilers, quantum error correction news, whether customers prefer shrink-wrapped quantum software, and much more.

Error correction in the language acquisition classroom is one of those topics that always results in divided opinion. So what can the research tell us about it? In this episode we explore the role of error correction in writing, speaking and most importantly on learner motivation. How much is too much? When should we correct students and when should we say nothing? The answers, as always with language acquisition, are not straightforward but are worth looking into. Keep in touch and share widely! Full programme notes are available on www.liamprinter.com/podcast. Follow The Motivated Classroom on Instagram @themotivatedclassroom, Twitter @motclasspodcast and Facebook @themotivatedclassroom. I'd love to know what you think, please get in touch! Join the conversation with the hashtag #MotivatedClassroom. Enjoying the podcast? Leave a review on Apple Podcasts or Facebook. Become a Patron of The Motivated Classroom podcast on patreon.com.

Key Takeaways:[3:23] James introduces himself.[4:20] James talks about his engagement in game development using the public IBM Cloud quantum systems.[5:40] James explains why he said he expected the field of quantum computing to be more accessible by starting with hobbyists.[7:02] James talks about the theory behind quantum computing.[8:23] James speaks of how to engage people in quantum computing by proving Einstein was wrong in how he saw quantum mechanics.[12:39] What are some of the things that James has seen that were sort of super inventive ways to use quantum computing in a game context?[14:20] James talks about the quantum emoji generator.[15:26] James shares his opinion in regard to Quantum Chess.[16:48] James talks about a new game called Quantum Odyssey[18:08] James shares an experience working with kids when he was at the University of Basel.[19:55] James talks about his passion for quantum error correction.[20:41] James tells the difference between quantum error correction and quantum error mitigation.[24:18] Sebastian talks about mitigation strategies.[27:00] Could it be that lots of the statistical tradecraft with respect to analyzing data and attempting to interpret its meaning in the presence of acknowledged errors and the signal is perhaps a foundational part of QAM? [28:01] What are the major and most interesting themes to James these days? [29:36] James explains the threshold theorem.[34:33] What is the current math result in terms of the threshold of error occurrence that you need to get to get over the hump?[35:16] James talks about the experimental results where people have built minimal examples of quantum error-correcting codes[36:01] James talks about a recent experiment made at IBM quantum.[36:40] What does surface code mean?[39:20] Are there any other types of errors that quantum error correction has to struggle with? Or are the bit flip and phase error the two main aspects?[41:55] James talks about the recent research on silicon spin qubits.[45:39] Sebastian and Kevin share the highlights of an amazing conversation with James.Mentioned in this episode:Visit The New Quantum Era PodcastStephen Hawking faces Paul Rudd in epic chess match (feat. Keanu Reeves)Tweetables and Quotes:“It's better if we start off by building a little bit of intuition, and then bringing in the maths, it's important to bring in the maths but I think it's better when the maths is describing an intuition that people already have and that's the starting point.” — James Wootton“There have been experimental results already where people have built minimal examples of quantum error correcting codes and showing that they have a beneficial effect. So that's what happens when the noise is low enough. “ — James Wootton

Often in an ABA program, we're teaching kids multiple skills at once. For example, we might be teaching a student to mand for cookie, but we may also be teaching them to identify items, introducing gross motor imitation, and following directions. Students will sometimes engage in multiple responses because they believe that's what you want to see, and that's essentially what scrolling behavior is.It's important to be aware of scrolling and know how to deal with it from the very beginning. Teaching skills "cleanly” is key so the student doesn't run through any other responses from overlapping instruction. Scrolling can be physical or verbal, and kids often scroll because they're looking for whatever will give them reinforcement. As practitioners, whenever we're unclear on reinforcement contingencies, there's a greater chance that scrolling will occur. We cover helpful tips and strategies to prevent and manage scrolling through error correction procedures and transfer trials. To get a copy of our Visual Transfer Trial Cheat Sheet, head to the link below.What's Inside:What is scrolling and what does it look like when you're working with a client?Why kids scroll and the types of scrolling they may exhibit.Strategies to prevent and work through scrolling behaviors.Mentioned In This Episode:HowToABA.com/joinHow to ABA on YouTubeFind us on FacebookFollow us on InstagramVisual Transfer Trial Cheat Sheet

Most people think error correction is a good practice and that language learners errors should be corrected because you're gonna learn how to say things properly...but FORTUNATELY, IT DOESN'T WORK THAT WAY❗ Here we obviously need to get into the differences between language learning and language acquisition, but let me be clear: feedback and correction the way we traditionally think about them actually play no role in second language teaching. Welcome to season 2 of the Language Input Podcast, in which I'll start a series of many interviews with language teachers, polyglots, language learners... to help you better understand the language learning process and try to convince you that we can ALL learn ANY language while enjoying the process. Follow me on all my social media for new daily content related to language learning, especially if you're looking to learn my native language Spanish. 🎬 Youtube: https://www.youtube.com/channel/UC5VQO82Gf2c-bmiTPI2h7fA 💻Twitch: https://www.twitch.tv/spanishnaturalanguages 📹 Instagram: https://www.instagram.com/spanishnaturalanguages/ 📱 Tik Tok: https://www.tiktok.com/@naturalanguagesspanish ✍️Twitter: https://twitter.com/NaturaLanguages

This week we're featuring Dr Philippe Faist, a postdoctoral researcher at Freie Universität Berlin. Dr Faist did his undergraduate degree and PhD at ETH Zurich, followed by a postdoctoral position at Caltech, and is currently in his second postdoctoral position here in Berlin.For more information and a full audio transcript, see our website insidequantum.org.

In episode 25 of the Quantum Consciousness series, Justin Riddle discusses quantum error correction, a protocol by which noise from the environment is actively counteracted in order to create quantum computations that are robust against the destructive chaos of the environment. Quantum computers are on the near horizon with companies like Google and IBM actively working to improve the technology. These computers will revolutionize information technology by providing a speed-up to the run time of algorithms at a scale that our minds struggle to comprehend. The enormity of an exponentially increasing space truly boggles the mind. For example, two shuffled decks of cards have a 1 in 10^67th chance of ending up in the same configuration. This is vastly greater than the number of grains of sand on the beach and atoms on and within the planet. While quantum computers promise to search these massive spaces in feasible time frames, any perturbation from the environment renders these computations unusable. Quantum error correction is required to salvage the utility of quantum computers. In digital error correction, we can provide redundant information about a bit of information such that chaotic forces can be reversed if that bit flips from a zero to a one or vice versa. Quantum error correction is similar but with the addition of a phase flip and bit+phase flip. Quantum error correction is currently being developed and quantum computers will become practical and fault tolerant in the near future, we just need to divide the advertised qubits in modern computers by 5 or 9. Finally, could biology being using a form of quantum error correction to make quantum computation in the brain more feasible? Looking at the Penrose-Hameroff microtubule model as an example, microtubules could each be encoding a single register of one fault tolerant qubit in their multiple topologies, or the topological arrangement of tubulin could serve as a fault tolerant qubit in itself. Furthermore, there may be protein systems designed to interface with microtubules that apply corrective quantum gates to the system in order to actively counteract destructive environmental forces. While speculative at this point, quantum error correction in biology could be the defining feature for how usable quantum computations are sustained for extended time frames giving rise to consciousness itself.

Error correction is widely used in automatic speech recognition (ASR) to post-process the generated sentence, and can further reduce the word error rate (WER). Although multiple candidates are generated by an ASR system through beam search, current error correction approaches can only correct one sentence at a time, failing to leverage the voting effect1 from multiple candidates to better detect and correct error tokens. In this work, we propose FastCorrect 2, an error correction model that takes multiple ASR candidates as input for better correction accuracy. 2021: Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Linquan Liu, Tao Qin, Xiang-Yang Li, Ed Lin, Tie-Yan Liu https://arxiv.org/pdf/2109.14420v3.pdf 

In what is hopefully the last installment of Vaden and Ben debate Effective Altruism, we ask if EA lies on the cultishness (yes, that's a word) spectrum. We discuss: The potential pitfall of having goodness as a core value Aspects of Effective Altruism (EA) that put it on the cultishness spectrum Does EA focus on good over truth? Ben's experience with EA Making criticism a core value How does one resist the allure of groupthink? How to (mis)behave at parties How would one create a movement which doesn't succumb to cult-like dynamics? Weird ideas as junk food Error Correction intro segment - Scott Alexander pointing out that Ivermectin works indirectly via: There's a reason the most impressive ivermectin studies came from parts of the world where worms are prevalent, he says. Parasites suppress the immune system, making it more difficult for the human body to fight off viruses. Thus, getting rid of worm infections makes it easier for COVID-19 patients to bounce back from the virus. See full post below and summary news article here (https://www.msn.com/en-us/health/medical/everyone-was-wrong-about-ivermectin/ar-AAQRURP) Czechoslovakia was not a part of the USSR @lukeconibear pointing out some climate models and data are publicly available. See for instance Goddard Earth Observing System (GEOS) Chem model: https://github.com/geoschem/geos-chem Community Earth System Model (CESM): https://github.com/ESCOMP/CESM Energy Exascale Earth System model: https://github.com/E3SM-Project/E3SM @PRyan pointing out we were confused about the difference between economic growth, division of labour, and free trade Join the movement at incrementspodcast@gmail.com. Follow us on twitter at @IncrementsPod (https://twitter.com/IncrementsPod) and on Youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ).

To support this ministry financially, visit: https://www.oneplace.com/donate/1232/29 Proverbs 3:11-12 My son, do not despise the chastening of the Lord, nor detest His correction; for whom the Lord loves He corrects, just as a father the son in whom he delights.

Have you ever wondered what to do when you're reading with your kiddo at home and they make a mistake? In this episode, I'm joined by a special guest, Lindsey Norton. Lindsey is a former classroom teacher turned private tutor. She's the owner of Kids Tutoring Online and she's been educating preschoolers-fifth graders since 2014. Lindsey is 100% committed to the Science of Reading and using Orton-Gillingham methods for all students. Lindsey is on pace to become a certified Orton-Gillingham practitioner at the Associate level by May of 2022. Tune in to this episode as we chat about error correction and feedback for students. Lindsey offers four great tips for how to handle this tricky situation. Resources mentioned in this episode: Teaching with Love and Logic by Jim Fay and David Funk Orton-Gillingham Error Technique Corrections Video Phonics International The Jolly Postman by Janet and Allen Ahlberg Nibbles the Book Monster by Emma Yarlett If you'd like more from Lindsey, check out Kids Tutoring Online. You can also follow her on Facebook and Instagram. If you'd like to support this podcast in a small way, you can do so right here. Please know that any support you can offer is so very appreciated! If you want to follow me on social media I can be found at the following links: Facebook, Instagram, and Pinterest Or check out my website at Your Reading Tutor for more reading resources and support! And don't forget to get my FREE Reading Rewards System and get your kids excited about reading today! Music from this podcast was used with permission from Epidemic Sound. --- Support this podcast: https://anchor.fm/thereadingproject/support

Preston Pysh joins me for a multi-episode conversation exploring two books: 1) The Brain by David Eagleman, and 2) The Seat of the Soul by Gary Zukav.Be sure to check out NYDIG, one of the most important companies in Bitcoin: https://nydig.com/GUESTPreston's twitter: https://twitter.com/PrestonPyshPreston's podcast: https://www.theinvestorspodcast.com/PODCASTPodcast Website: https://whatismoneypodcast.com/Apple Podcast: https://podcasts.apple.com/us/podcast/the-what-is-money-show/id1541404400Spotify: https://open.spotify.com/show/25LPvm8EewBGyfQQ1abIsE?si=wgVuY16XR0io4NLNo0A11A&nd=1RSS Feed: https://feeds.simplecast.com/MLdpYXYITranscript:OUTLINE00:00:00 “What is Money?” Intro00:00:08 The Power Struggle00:05:45 What Every Body is Saying00:15:40 Intelligence is Error-Correction00:20:51 Error-Correction in Relation to Money00:21:40 Connection Between Economics and Neural Phenomena00:24:40 The World Without Inflationary Monetary Policy00:32:52 A Standardized Global Currency00:38:20 “Nothing Vast Enters the Life of Mortals Without a Curse”00:45:06 Dealing With Abundance vs Scarcity00:50:15 NYDIG00:51:33 Generational Wealth00:59:02 Existing Eternally on the Cloud01:02:40 Transhumanism and Meta-Intelligence01:04:44 Resetting Our Epigenetic Settings01:06:30 Preview to “The Seat of the Soul”SOCIALBreedlove Twitter: https://twitter.com/Breedlove22WiM? Twitter: https://twitter.com/WhatisMoneyShowLinkedIn: https://www.linkedin.com/in/breedlove22/Instagram: https://www.instagram.com/breedlove_22/TikTok: https://www.tiktok.com/@breedlove22?lang=enAll My Current Work: https://linktr.ee/breedlove22​WRITTEN WORKMedium: https://breedlove22.medium.com/Substack: https://breedlove22.substack.com/WAYS TO CONTRIBUTEBitcoin: 3D1gfxKZKMtfWaD1bkwiR6JsDzu6e9bZQ7Sats via Strike: https://strike.me/breedlove22Sats via Tippin.me: https://tippin.me/@Breedlove22Dollars via Paypal: https://www.paypal.com/paypalme/RBreedloveDollars via Venmo: https://venmo.com/code?user_id=1784359925317632528The "What is Money?" Show Patreon Page: https://www.patreon.com/user?u=32843101&fan_landing=trueRECOMMENDED BUSINESSESWorldclass Bitcoin Financial Services: https://nydig.com/Join Me At Bitcoin 2022 (10% off if paying with fiat, or discount code BREEDLOVE for Bitcoin): https://www.tixr.com/groups/bitcoinconference/events/bitcoin-2022-26217Put your Bitcoin to work. Earn up to 6% interest back on Bitcoin with Tantra: https://bit.ly/3CFcOmgAutomatic Recurring Bitcoin Buying: https://www.swanbitcoin.com/breedlove/Buy Bitcoin in a Tax-Advantaged Account: https://www.daim.io/robert-breedlove/Home Delivered Organic Grass-Fed Beef (Spend $159+ for 4 lbs. free): https://truorganicbeef.com/discount/BREEDLOVE22

We discuss the concept of Prediction Error Correction as  Dr. Lisa Feldman Barrett presents it in her book, “How Emotions Are Made,” from subtle adjustments in our nervous system to errors that cause accidents. This process is an essential element in developmental learning and Feldenkrais lessons.  Visit Donna's site: https://DonnaRay.com Visit Al's Site: https://AchievingExcellence.com Get your first Feldenkrais lesson from AchievingExcellence.com. Use coupon awesome-podcast to save 20%.

My own summary and views on a 2012 article by Charlene Polio that tackles a question we have all asked ourselves at some point: Is correcting errors worth our time? Link to the article: https://www.sciencedirect.com/science/article/abs/pii/S1060374312000768

This Week: Nobel Prizes!, Fat Bears, Stressed Solitude, No Spider Medicine?, Old Bears, Error Correction, COVID Update!, Worm Milk, Cold Women, Ancient Jaw, Just Good News, Brain Implant Success, Constipation Memory, And Much More... The post 06 October, 2021 – Episode 845 – Who Are the Science Prize Winners? appeared first on This Week in Science - The Kickass Science Podcast.

In this episode we speak with Daniel Sank, a senior research scientist working in the 'Quantum AI' group at Google. Daniel was part of the team working towards Google's quantum supremacy experiment in 2019, which we discuss in detail in the podcast. We also briefly go over a recent paper the Google team published demonstrating quantum error correction using their superconducting quantum chip. We hope you enjoy listening to this episode.

Tonya Hall interviews Dr. Zaira Nazario, technical lead for quantum theory and applications at IBM Quantum, about the nature and challenges of quantum circuits. Learn more about your ad choices. Visit megaphone.fm/adchoices

This is Episode 8 of Season 1 of the series TEACHING MATTERS on the PsychSessions network.  This series is co-hosted by Rob McEntarffer, an assessment specialist for Lincoln Public Schools in Lincoln, NE & Eric Landrum, professor and chair of Psychological Science at Boise State University in Boise, ID. If you have ideas for future topics or want to comment, most podcast outlets allow for comments, or you can email us at psychsessionspodcast@gmail.com. Thank you for listening!

Bruce, Cameo, and Bart Vanderhaegen continue their conversation about implementing Karl Popper's theory of knowledge in a work environment. In this episode, Bart continues to explain his company's process. We also discuss why Karl Popper's philosophy is so little known and why, even when good error correction processes come along (like Agile Development), it's more an accident than intentional when Popperian epistemology gets worked into the business environment. And, for the first time ever, I discuss "Neo-Popperian" epistemology. Is that even really a thing? If you are enjoying this show, please retweet us and give us a 5-Star Review. Follow us on Twitter --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/four-strands/support

Bruce and Cameo talk to Bart Vanderhaegen about how his consulting company, Pactify, implements Karl Popper's epistemology in a work environment. His process involves generating new ideas at any level of the organization and then developing those ideas via error correction until they solve the problem in an optimal way. If you are enjoying this show, please retweet us and give us a 5-Star Review. Follow us on Twitter --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/four-strands/support

Drawing on recent research around error correction and feedback, this episode provides six easy to implement strategies that allow the teacher to give meaningful feedback to students whilst ensuring it doesn't harm their basic psychological need of 'competence'. These strategies will hopefully give you some ideas about how we can ensure our feedback is timely, specific and meaningful to the student so that it helps them to move forward and not over analyse the errors that may be present. Most importantly, these are practical approaches to feedback designed to maintain and build motivation, rather then dampen it! For full details a list of these strategies, check out the programme notes with further information and links to research and resources at www.liamprinter.com/podcast. Are you a regular listener and enjoying The Motivated Classroom podcast? Join me on my patreon page here. Follow The Motivated Classroom on Instagram, Twitter and Facebook. Join the conversation with the hashtag #MotivatedClassroom Keep sharing and spreading the word. I'd love to know what you think, please get in touch or leave me a review

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.21.348607v1?rss=1 Authors: Olyaee, M. H., Khanteymoori, A. Abstract: Evolution of human genetics is one of the most interesting areas for researchers. Determination of Haplotypes not only makes valuable information for this purpose but also performs a major role in investigating the probable relation between diseases and genomes. Determining haplotypes by experimental methods is a time-consuming and expensive task. Recent progress in high throughput sequencing allows researchers to use computational methods for this purpose. Although, several algorithms have been proposed but they are less accurate when the error rate of input fragments increases. In this paper, first, a fuzzy conflict graph is constructed based on the similarities of all input fragments and next, the cluster centers are used as initial centers by fuzzy c-means (FCM) algorithm. The proposed method has been tested on several real datasets and compared with some current methods. The comparison with the existing approaches shows that our method can be a complementary role among the others. Copy rights belong to original authors. Visit the link for more info

In a mini episode, Krista and Sandrine demonstrated what a lot of language classrooms look like in regards to correcting "errors". In this episode, Krista and Sandrine chat with Bill Van Patten about error correction and input. Listen to hear what he says about the concept of errors and what he thinks of the term. BVP also shares what a lesson might look like in his classroom in a way that bridges the theory to the practice. We can only say that the Diva of SLA is an absolute gem. Aha moment comes from Class Cast Podcast, episode 39. If you want to reach out... email (stepintomondays@gmail.com), Twitter (@IntoMondays). SOLPHE plenary (referenced by BVP during the recording) https://www.youtube.com/watch?v=sJmDXKghMgw&list=PL6R5xodc3sqJ1JSQX19bNW2lVz1gCSBHc&index=2 Situating instructed language acquisition: facts about second language acquisition (By BVP) https://higherlogicdownload.s3-external-1.amazonaws.com/ACTFL/150b579c-c215-4212-8541-50d7338550e1_file.pdf?AWSAccessKeyId=AKIAVRDO7IEREB57R7MT&Expires=1602602600&Signature=3RtXxvdggzXd%2BRUtcL%2Fw3As40MQ%3D --- Send in a voice message: https://anchor.fm/stepintomondays/message

Another short and extra episode? This time Krista and Sandrine illustrate what still happens in a lot of language classrooms when students attempt to speak in target language. Why would they do that? Because on the next episode they will talk with Bill VanPatten and what error correction should look like. And they wanted you to experience second-hand the exchange of error correction. Want to connect with Krista and Sandrine? email...stepintomondays@gmail.com Twitter... @intomondays --- Send in a voice message: https://anchor.fm/stepintomondays/message

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.28.316828v1?rss=1 Authors: Vishne, G., Jacoby, N., Malinovitch, T., Epstein, T., Frenkel, O., Ahissar, M. Abstract: Autism is a developmental disorder characterized by impaired social skills and accompanied by motor and perceptual atypicalities. Its etiology is an open question, partly due to the diverse range of associated difficulties. Based on recent observations that individuals with autism are slow in updating perceptual priors, we now hypothesized that motor updating is also slow. Slow motor updating is expected to hamper the ability to synchronize to external events, since asynchronies are corrected sluggishly. Since sensorimotor synchronization is important for social bonding and cooperation, its impairment is expected to impair social skills. To test this hypothesis, we measured paced finger tapping to a metronome in neurotypical, ASD, and dyslexia groups. Dyslexia was assessed as a control group with a non-social neurodevelopmental atypicality. Only the ASD group showed reduced sensorimotor synchronization. Trial-by-trial computational modelling revealed that their ability to form controlled motor responses and to maintain reliable temporal representations was adequate. Only their rate of error-correction was slow and was correlated with the severity of their social difficulties. Taken together, these findings suggest that slow updating in autism contributes to both sloppy sensorimotor performance and difficulties in forming social bonds. Copy rights belong to original authors. Visit the link for more info

Skeptoid corrects another round of errors sent in by listeners just like you.

In this episode we speak with Jhon Jimenez and Timo Lehnigk-Emden from Creonic. They are project partners in EPIC. We talk about project completion and what practical results can be observed and applied. See omnystudio.com/policies/listener for privacy information.

I had a great time talking with Dr. Zlatko Minev in this episode! We got to talk about new quantum physics, error correction, and qiskit community, as well as quantum mechanics for doing the dishes Qiskit community: https://github.com/qiskit-community Zlatko’s twitter: https://twitter.com/zlatko_minev Zlatkos’s website: https://www.zlatko-minev.com/ Open Labs’ website: https://theopenlabs.org/ Computerphile error correction series: https://invidio.us/playlist?list=PLvc8eb5AdU4fPkWSJVLip-g9wcSO6MhAC Qiskit now runs on AQT trapped ion machines: https://www.aqt.eu/aqt-now-supports-qiskit/ Qiskit Global Summer School: https://qiskit.org/events/summer-school/ Quantum Information Science Seminar Series: https://www.youtube.com/playlist?list=PLOFEBzvs-Vvr0uEoGFo08n4-WrM_8fft2 Zlatko Minev’s website: https://www.zlatko-minev.com/ QCN gather.town: https://gather.town/fh5g7HpuMejUUhSg/quantum-computing-now Sound effects obtained from https://www.zapsplat.com https://www.minds.com/1ethanhansen/ 1ethanhansen@protonmail.com https://thequantumdaily.com/ --- Send in a voice message: https://anchor.fm/quantumcomputingnow/message Support this podcast: https://anchor.fm/quantumcomputingnow/support

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.25.220855v1?rss=1 Authors: Wang, L., Qu, L., Yang, L., Wang, Y., Zhu, H. Abstract: Nanopore sequencing is regarded as one of the most promising third-generation sequencing (TGS) technologies. Since 2014, Oxford Nanopore Technologies (ONT) has developed a series of devices based on nanopore sequencing to produce very long reads, with an expected impact on genomics. However, the nanopore sequencing reads are susceptible to a fairly high error rate owing to the difficulty in identifying the DNA bases from the complex electrical signals. Although several basecalling tools have been developed for nanopore sequencing over the past years, it is still challenging to correct the sequences after applying the basecalling procedure. In this study, we developed an open-source DNA basecalling reviser, NanoReviser, based on a deep learning algorithm to correct the basecalling errors introduced by current basecallers provided by default. In our module, we re-segmented the raw electrical signals based on the basecalled sequences provided by the default basecallers. By employing convolution neural networks (CNNs) and bidirectional long short-term memory (Bi-LSTM) networks, we took advantage of the information from the raw electrical signals and the basecalled sequences from the basecallers. Our results showed NanoReviser, as a post-basecalling reviser, significantly improving the basecalling quality. After being trained on standard ONT sequencing reads from public E. coli and human NA12878 datasets, NanoReviser reduced the sequencing error rate by over 5% for both the E. coli dataset and the human dataset. The performance of NanoReviser was found to be better than those of all current basecalling tools. Furthermore, we analyzed the modified bases of the E. coli dataset and added the methylation information to train our module. With the methylation annotation, NanoReviser reduced the error rate by 7% for the E. coli dataset and specifically reduced the error rate by over 10% for the regions of the sequence rich in methylated bases. To the best of our knowledge, NanoReviser is the first post-processing tool after basecalling to accurately correct the nanopore sequences without the time-consuming procedure of building the consensus sequence. The NanoReviser package is freely available at https://github.com/pkubioinformatics/NanoReviser. Copy rights belong to original authors. Visit the link for more info

Dr. Joshua Jessel joins us this episode to discuss his article about rich to lean error correction. If you've never heard of “rich to lean error correction” check out this episode! Jessel, J., Ma, S., Spartinos, J. and Villanueva, A. (2020), Transitioning from rich to lean reinforcement as a form of error correction. Jnl of Applied Behav Analysis. doi:10.1002/jaba.717

In this podcast we talk about the EPIC project. EPIC is an EU funded effort to rebuild error correction codes for data transmission so that they will continue to work in super fast beyond 5G speeds. We speak with Catherine Douillard, Stefan Weithoffer and Charbel Abdel Nour all from IMT Atlantique in Brest, France. Follow along as we examine some of the challenges and benefits of EPIC. See omnystudio.com/policies/listener for privacy information.

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

The Internet Video Problem: The Internet was never designed for Video "Best-Effort” Transport Only No Prioritization Routers Drop Packets to Alleve Congestion Dynamic Load Balancing Reorders Packets Traffic is either UDP or TCP UDP Transport is Real-Time, but Lossy No Inherent Packet Recovery No Guarantees on Packet Order TCP Uses Positive Acknowledgement Packet Recovery Not Real-time: Pauses for Unrecoverable Packets Max Bitrate Limited by Distance & Node Hops The Internet Video Solution: ARQ - Automatic Repeat Request Automatic Repeat reQuest Feedback Requests Resending Lost Packets Receiver Delay to Allow Time for Recovery Add Receiver Buffer to Create Delay More Resilience → Larger Buffer Lower Latency → Smaller Buffer Capable of 100% Recovery Capable of Full Recovery with Large Loss % Zero Overhead on a Clean (Lossless) Network The post QVidium – Pioneer in IP Video Transport and Error Correction [Webinar Recording] appeared first on VidOvation Corporation.

The Who What How When and Why of Error Correction - TranscriptionTracy Yu: Welcome to the "TEFL Training Institute Podcast." The bite‑size TEFL podcast for teachers, trainers and managers.Ross Thorburn: Hi, everyone.Tracy: Hi, welcome to our podcast.Ross: A lot of the time when we're hanging out and we speak Chinese to each other, I often ask you to correct my Chinese if I make any mistakes. When you do, it's really annoying.[laughter]Tracy: Why is that?Ross: I don't know. It's like there's something about being corrected. You always feel that you're making a comment about how bad my Chinese is and it really annoys me. I don't know, it's funny. I always say, "Can you please correct me more?" but when you do, it's really annoying.Tracy: Do you think that helps you?Ross: Yes, but it's bad for your motivation because you feel annoyed by it.Tracy: What's the point? [laughs]Ross: The point is that today our podcast is about error correction and helping students and trainees and stuff learn from their mistakes.Tracy: As usual, we got three main questions or areas that we're going to discuss.Ross: First one is, why do students make errors?Tracy: The second one, should we correct errors?Ross: Finally, what principles are there in correcting students' errors?Why do students make errors?Ross: Why do students make errors?Tracy: One reason is, is an evidence of learning and is a part of the learning process. We learn how to drive and we learn how to...Ross: Swim. [laughs]Tracy: ...cook, how to swim and new skills. We usually make some mistakes and then from the mistakes, we can learn how to do it better.Ross: Yeah, no one does anything perfectly the first time.Tracy: The first time, yeah.Ross: That's impossible. Something I found really interesting about developmental errors is this thing called...we're not going to go too much into the weeds here with Second Language Acquisition, but I just wanted to mention this because I thought it was so cool.This is an example of U‑shaped acquisition from Rod Ellis' book, "Second Language Acquisition." Instead of me reading them out, Tracy, can you just make a sentence with each of them and I'll do a commentary?Tracy: Sure.Ross: This is for students acquiring ate, as in the past tense of eat.Tracy: I eat pizza last night.Ross: This is when you've not been able to mark the past tense, that's all, which is the first stage, and then...?Tracy: I ate pizza last night.Ross: Really interesting, right? The first type of past tense verbs that students acquire are irregular ones, which Tracy just learned. Next?Tracy: I eated pizza last night.Ross: This is after you've started to learn the past tense rule of adding ‑ed onto the end of things, but you've overused it. You've overgeneralized it.Tracy: I ated pizza last night.Ross: Here you've made some hybrid between the two, and the final one?Tracy: I ate pizza last night.Ross: Great.Tracy: Which is correct.Ross: Which is, yeah, you've now acquired it. Congratulations.Tracy: [laughs] Thank you, but the second and the fifth stage, I used the words correctly, but it doesn't mean I was at the same stage of acquiring the language.Ross: Yeah, which is so interesting. This is such a great example, because it shows how making errors is evidence that you're developing.Anyway, that was the developmental kind. What's the other main reason that students make errors?Tracy: Maybe they directly translate from their first language to the language they study?Ross: It's not always a direct translation, but yeah, call it L1 transfer.Tracy: Transfer, yeah.Ross: A long time ago, people thought that all the errors came from that. Gradually, they came to realize that that's not the case and a lot of the errors that students make are the same regardless of their first language. Part of the transfer errors, they're actually harder to get rid of than the developmental errors.Should teachers correct students’ errors in ESL classes?Ross: Let's talk about the next one. Should we correct errors? What do you tell teachers on teacher training courses?Tracy: I think it really depends. Sometime, I tell them to ignore that.Ross: Wow, OK. When do you say to ignore errors?Tracy: Two main scenarios. Number one, if it's not really in a learning setting. For example, you haven't seen the students for a while and saw the students, have a chat, and then students really talkative and very motivated and probably make some mistakes and then have errors in their sentences. Really, to be honest, I don't think that's a great context for us to correct their errors.Their motivation was not to learn much, they want to communicate with you. It's probably going to demotivate the students. The second scenario is if the error is really not impeding the communication that much, you probably want to ignore it.Ross: Yeah, right. Actually, I'm going to play you a little Jeremy Harmer quote about what you were talking about there, this process of deciding if you should correct an error or not.[pre‑recorded audio starts]Jeremy Harmer: Every time a student makes a mistake in class, you have to make a judgment. That's actually not true, you have to make about four or five judgments. The first judgment you have to make is, "Was it wrong?" The second judgment is, "Actually, what was wrong?" because sometimes it's not that easy to work out what was wrong.The third judgment you have to make is, "Should I correct it or should I just let it go?" The fourth judgment you have to make is, "Should I correct it or should somebody else correct it?" Suddenly in that one moment when students just make a mistake, you have to work out what to do.[pre‑recorded audio ends]Tracy: There are four main things that we need to consider immediately when the student make mistake. They are who, when, what, and how.Ross: What was the error? Yeah, because this is sometimes difficult to tell. Is it a pronunciation mistake or is it lexical or is it grammatical or...?Tracy: Who's going to correct it?Ross: It could be the teacher. You could try and do peer correction, you could try and get the person to correct themselves, I suppose.Tracy: Yeah, or even small groups some times. When? Should you correct the error immediately, or you're waiting? We always say delayed.Ross: The last one was?Tracy: How. What kind of techniques you are going to use?Ross: Good, hang on to that thought, because we'll talk about that in the next segment. I actually wanted to play another quote. This one's from Stephen Krashen. This is what Stephen Krashen thinks about error correction.[pre‑recorded audio starts]Stephen Krashen: Output plus correction. You say something, you make a mistake, someone corrects it. You change your idea of what the rule is. The six‑year‑old ESL child comes into the class and says to the teacher, "I comes to school every day."Teacher says, "No, no, I come to school every day." The child is supposed to think, "Oh yeah, that s doesn't go on the first person singular, it goes on the third person singular."I think that's utter fantasy, but that's the idea.[pre‑recorded audio ends]Ross: It's quite interesting. He thinks error correction is a complete waste of time. Dave Willis, the task‑based learning guru, pardon, he's someone else, just thinks error correction doesn't work.Tracy: Oh really?Ross: Not everyone says that but I just wanted to give an example of both.Tracy: That's quite confusing though. Should we correct or...?Ross: There's other research that says that you should and it does make a difference in some situations, but not in other ones. I think there's the research, not quite conclusive.Tracy: Definite law students haven't read about this research.[laughter]Tracy: They have really high demand in classroom from teachers to correct their errors, because otherwise, you don't think they learn anything.Ross: For me, that's true. That at least some of the value in coming to a language class is you get your errors corrected, because input, you can buy a book or you can watch TV. There's lots of ways you could get input, maybe not always great for practice. A lot of people in a lot countries do have opportunities to practice English.Here in Beijing, you could just go to a Starbucks and try and find a foreigner or some people might have to speak English for work. The big advantage of going to a language class is that you get correction.Tracy: This makes me think of the students actually, in my class which I just taught this afternoon. Is about some phonological aspects and she told me at the end of the class, she said, "Oh no, I've finally realized I have no knowledge, no idea and no awareness of the features of connected speech, because I study English for so long, but I always have trouble to understand people in the listening."If I didn't have that correction in my lesson, I think she'd probably not be able to aware of the features for a long time.Ross: Yeah, absolutely. Good, you should send that to Stephen Krashen.How should teachers correct students’ ESL errors?Ross: Let's talk about some principles for error correction. We'll just pretend that we've ignored Stephen Krashen, we've decided that when students actually made an error. What do you think are some good ideas or best practices or advice on correcting errors?Tracy: I will say, the first one is, don't correct all the errors.Ross: Yeah, it'd be way too many, right?Tracy: Yeah.Ross: That'd be really annoying.Tracy: [laughs] Yeah. They won't have much time to really practice.Ross: I think as well, we know from Second Language Acquisition that not all of the errors that you correct are actually going to help the students.Tracy: Just try to prioritize errors. Of course, again, the fundamental stuff. Was your lesson aims are and then what kind of language or skills that you are trying to focus on in your class. Stick to those. That should be prioritized.Ross: Another thing to add is correct errors that effect more students instead of fewer students. I agree, if it's in your plan, then correct it, but I also think if it's a problem all the students are having or most of the students are having, then it's probably worth correcting.That's a bit about what to correct, how about some how to correct? Actually, can I play you another quote? I want to make a record for the number of quotes, someone talked, it's number three.Tracy: OK, go on.Ross: This is Herbert Puchta, I think his name is, talking about an error correction technique.Herbert Puchta: Imagine a class where lots of students have problems getting the famous third person "S" right. Take a piece of paper and write an "S" on it. Stick it somewhere on the wall. When a student makes that mistake, point to the paper, wait and smile. Most probably, the student who's just made the error will notice what you want them to do and correct themselves.Ross: I thought that was interesting, he also chose the third persons "S" as his example. I think what he's trying to say there is that's a really in‑obtrusive way of correcting a student. You can correct someone as their speaking, by pointing at something, but you don't have to interrupt them.Another one for how, this may be also related to who, is to try and get the students involved in their correction.Tracy: Yeah, I get it, but sorry, I just feel like sometimes...We talk about who and we always want to encourage students themselves to correct themselves. The techniques in how teacher try to raise their awareness of their error is repeating the error.Ross: It's interesting that you bring that up because...or the other one is called a recast when the students said something wrong and you repeat it back to them, but they say it right. There's research that shows that when you do that, a lot of students don't realize that you are correcting an error. They just think you're repeating something.Tracy: Exactly.Ross: What are some ways of raising students' awareness that they've made an error?Tracy: What I experimented today was WeChat. Of course, I think there is...Ross: For those of you know in China, WeChat's an instant messenger type thing.Tracy: I ask the students to join the group.Ross: A group chat.Tracy: Yeah, group chat. Yeah, before the lesson started. Almost at the end of the class, I listen to what they said, I posted on four or five sentences into the group chat so everybody can see it.Ross: What's in these sentences? Mistakes the students have made?Tracy: Mistakes and also correct sentences together. Of course, I changed some of the words they are using or the pronouns or places. Yeah, I just, talk to your partners and then tell each other which one you think correct and which one is not correct and the then you think the one is not correct and then you can type the correct ones and then send to the group.Ross: I think you also hit on another thing there, that's something to get students involved, but another thing is that, the anonymity. Not singling someone out.Tracy: Another thing, I always tell teachers. There should be a correction circle. You raise their awareness, usually we stop and they move on, but not, there should be another step to complete the circle which is, give students another chance to use the language correctly by themselves. For example, the pizza mistakes.Ross: I ated pizza yesterday.Tracy: I mmm pizza yesterday.Ross: I ate pizza yesterday.Tracy: What did you have for breakfast today?Ross: I ate cereal for breakfast today.Tracy: Really? Do you really? [laughs]Ross: No, I actually drank coffee today, but...[laughter]Ross: ...this is a different verb. I didn't think it would fit your point.Tracy: You know what I mean, just...Ross: Yeah, give the students a chance.Tracy: It's something can be really simple. Just ask a similar question and they can answer.Errors Wrap upTracy: We talk a lot about correcting errors, but the examples we were using really focus on the language itself, but don't forget about error correction also related to performance or behavior in class.Ross: What does that mean?Tracy: For example, teaching young learners and if the student wasn't well behaved, I think we also need to...Ross: Give feedback.Tracy: ...give feedback on that.Ross: Yeah, good point. Bye everyone, thanks for listening.Tracy: Bye.

Do you rely on a teacher to correct your writing mistakes for the IELTS Test? Is this the most effective way? In this podcast I look at some research that's been done about the best way to learn from your mistakes - and the answers may surprise you! Here is the YouTube video, where you can see all the texts that I mention: https://youtu.be/JPjqoJA-Fhk You can find out more about the award I won from EnglishUK and CambridgeESOL for my research on error correction here: https://www.englishuk.com/en/about-us/news-press/english-uk-news?newsId=2202 Here are some of the tools you can use to correct your own writing: https://www.grammarly.com/ https://prowritingaid.com/ https://www.grammarcheck.net/ I also talk about times when a teacher is essential for helping students meet the criteria of the IELTS test. --- Send in a voice message: https://anchor.fm/ieltsetc/message

This series will consist of 26 different podcasts, each covering a new letter of the alphabet. Through these podcasts you will hear a number of different ideas, suggestions, experiences, and research that will hopefully help give you some food for thought about taking your classes to the next level. --- Send in a voice message: https://anchor.fm/VIPKidWorld/message

Top 10 baby!! Alright the time is here. You asked for it, the fans voted on it so you guys built your very own playlist! All my fans did an excellent job picking us a very diverse playlist out of this round of 45 plus contenders! It comes down to taste and who participated but they gave us nice overall look of some of the exquisite talent that can be found buried all through out my shows! All 45 of these acts have had some kind of success in the indie music biz whether it be radio airplay or opening for National acts or having their music played in TV shows and commercials! Its all top quality and hard to choose who is "better" so with that said just sit back with your favorite music listening device and enjoy these sounds from around the globe. 4 US artists, 1 Canadian, 1 Irish and 4 from England round out this list of bonafide true quality players. vocalists, songwriters and skilled musicians. Some of the BEST talent in the world folks and it can ONLY be found under my label! Thanks again for all the support and thanks again to all the fans for a hell of a playlist. This is just awesome! PS>>>>>>>>If you dont trust me, if youre a new fan and have never heard my show! THEN DO ME A FAVOR!! Go listen to Spotify top 30 and then come check out my top 10 and hear the difference!! Find us on all streaming services! Halshack.com PS>>>>>> Thanks again to PLAYER FM for 11 PODCAST of the DAY awards!! ERROR CORRECTION >>>>>> I apologize for making a name error in the show. HELEN AUSTIN with the Big Little Lions is her correct last name, not SLATER. I meant to check that for sure before I made the final cut and it was honestly just a mistake that I feel terrible about.

In this episode of Fallible Animals, we discuss how it is that sciences progresses, despite the fact that all science is conjectural. It turns out that progress entails reducing errors in our worldview. We define knowledge and review its growth over the course of history. Finally, we take as a case study our ever-improving understanding of our own Solar System, from Copernicus to Kepler to Newton. Transcript of Karl Popper's lecture/essay entitled 'Objective Knowledge' - https://pdfs.semanticscholar.org/845d... Foundational Paper on Constructor Theory (preprint) - https://arxiv.org/pdf/1210.7439.pdf Twitter - https://twitter.com/ChipkinLogan Articles - www.loganchipkin.com --- Support this podcast: https://anchor.fm/logan-chipkin/support

We're back with another Training Pod for all you RBTs! This one is by Tara and Manuela and it's all about Error Correction and Errorless Teaching. We'll be back in your feed shortly with another full episode about ABA Therapy in the community.

Rob Gray is Associate Professor of Human Systems Engineering at Arizona State University and host of the highly regarded Perception - Action Podcast. This is Rob's third appearance on the show and once again, he brings his 'A-Game' by providing a depth of insight and knowledge and also being very patient in answering my questions and helping me think out loud. In this conversation we cover the following...- A response to the accusation that ecological approaches to coaching are just 'old wine in new bottles'- Why a lot of 'constraints based' coaching is actually just 'unprincipled, atheoretical manipulations'- How developing 'functional variability' is the route to skillful performance- Why 1 v 0 is very different from '1 v unrepresentative 1' from an ecological perspective Hope you enjoyLink to Rob's website http://perceptionaction.com/

Rob Gray is Associate Professor of Human Systems Engineering at Arizona State University and host of the highly regarded Perception - Action Podcast. This is Rob's third appearance on the show and once again, he brings his 'A-Game' by providing a depth of insight and knowledge and also being very patient in answering my questions and helping me think out loud. In this conversation we cover the following...- A response to the accusation that ecological approaches to coaching are just 'old wine in new bottles'- Why a lot of 'constraints based' coaching is actually just 'unprincipled, atheoretical manipulations'- How developing 'functional variability' is the route to skillful performance- Why 1 v 0 is very different from '1 v unrepresentative 1' from an ecological perspective Hope you enjoyLink to Rob's website http://perceptionaction.com/

Today we're taking the Picture Exchange Communication System (PECS for short) and breaking down all six phases with Danielle and Manuela. If you're interested in watching the video shown to the group in this session, you can find it here:PECS Phase 3a with Error Correction

Alex Bates is an angel investor and a Member of Peter Diamandis's Abundance 360 Network. He's experienced in anything from leading DARPA funded research in neural networks, to applying analytics for the world's largest data warehouses at Teradata, to creating Mtell, a machine learning company acquired by Aspentech (NASDAQ: AZPN) “one would be just to not give up on your vision to early. You hear a lot about fail fast, fail forward but one other perspective to keep in mind is that most start-ups go through low points, and if when you hit the first low point you fail fast, fail forward you are actually going to miss the success. Some of the really successful people like Steve jobs went through various low points and then came back and ultimately got to major outcomes. So one will be not to give up two quickly and to have that perseverance to push through”…[Listen for More] Click Here for Show Notes To Listen or to Get the Show Notes go to https://wp.me/p6Tf4b-72Y

Vlad Negnevitsky is working towards serious quantum error correction. He prepares a Bell state of two Beryllium ions, and measures its parity with an ancilla Calcium ion. He then uses this result to correct for any errors in real time. V. Negnevitsky et al, Repeated multi-qubit readout and feedback with a mixed-species trapped-ion register, Nature volume 563, pages 527–531 (2018) (paper, preprint)    

FREE: LIFE COACHING - LANGUAGE COACHING - BUSINESS COACHING Newsletter & Book HERE: mailchi.mp/9f8ce916de23/i6c1qbao7x (Subject to Availability) #business #coaching #masterclass #lifestyle

In a perfect world, we would be corrected all the time, and our output would be completely accurate. Unfortunately, our ability to process correction and produce language at the same time is limited. Certainly, our ego and other factors may get in the way. On this episode of Speaking of Language, Dick Feldman, director of the Language Resource Center at Cornell University, tackles the complex issue of error correction in second language acquisition. This episode references the work of Natsuko Shintani, particularly her talk Examining the effects of corrective feedback: How, when and on which errors? Natsuko Shintani obtained her PhD from the University of Auckland in 2011. She has worked as a language teacher in Japan and New Zealand, including in her own private language school for children. Her research interests include task-based language instruction, the role of interaction in second language acquisition and written corrective feedback. She has also worked on several meta-analysis studies of form-focused instruction. She has published widely in leading journals and is currently working on a single-authored book, The Role of Input-Based Tasks in Foreign Language Instruction for Young Learners, published by John Benjamins. Twitter: @natsukonz

How do you correct errors once you identify them?

Since the discovery of the DNA double helix it’s been all but impossible to rationally account for what we’ve been finding biologically from a purely naturalistic perspective. What might have been known scientifically in Darwin’s day has now been far surpassed in terms of biological complexity. I’m going to look at just two of the newest discoveries we’ve made in ...

How can you balance the tension between helping English Language learners develop basic communication skills with learning correct grammar. Follow: @larryferlazzo @kdcanonbrown @amgonza @Bamradionetwork #edchat #teachers #edtech Anabel Gonzalez has been teaching since 1996. In her current role, she is secondary ESL teacher for Mooresville Graded School District, a dynamic 1:1 laptop district in North Carolina. Katie Brown is an ELL Specialist, Teacher Leader TOSA, and the 2014 Washington State Teacher of the Year. She has been teaching for 12 years in Bellingham, Washington.

BC8 Time Travel Addendum - Bizzle error correction by The Bizzle

The Alexander Technique is often seen as a way of letting go of harmful habits. In his Keynote Address at the 2014 annual meeting of the American Society of Teachers of the Alexander Technique, John Nicholls proposes a view of the Technique as a forward-looking, life-long process of developing our potential. In his view, it is a practice of embodied mindfulness in which we choose to embody our deepest aspirations and attitudes in the fullest sense of those words. (Error Correction: near the end of the talk a line of poetry quoted is wrongly attributed to Robert Graves' translation from an inscription at the Temple of Delphi. It is in fact a common translation of lines supposedly from legendary ancient Greek poet Orpheus.) John teaches, and trains Alexander Technique teachers, in New York City. John's website: johnnichollsat.com More information about the Alexander Technique: alexandertechnique.com You can learn how to support this and other Alexander Technique websites at AlexTechExpress.com/support

This lecture continues to explore error correction through a closer look at the generator matrix and the parity check matrix. Syndrome decoding is presented in its matrix form by example, and better error protection is discussed afterward.

University of South Carolina

This week, we go wireless to explore the science of mobile phones. We hear how new error-correction techniques are promising to put an end to poor quality communications, we meet a new system that lets you borrow the antennae of other nearby phones to boost your data download rates, and a major study that's examining the potential health impacts associated with mobile phone use. Plus, in the news, the now not-so-anomalous Pioneer probe anomaly, the chemical cure that can flatten phobias and how a biased worm could overturn an election victory... Like this podcast? Please help us by supporting the Naked Scientists

This week, we go wireless to explore the science of mobile phones. We hear how new error-correction techniques are promising to put an end to poor quality communications, we meet a new system that lets you borrow the antennae of other nearby phones to boost your data download rates, and a major study that's examining the potential health impacts associated with mobile phone use. Plus, in the news, the now not-so-anomalous Pioneer probe anomaly, the chemical cure that can flatten phobias and how a biased worm could overturn an election victory... Like this podcast? Please help us by supporting the Naked Scientists

This week we are kicking off a new feature for our users - the Inner Circle. The Inner Circle is for learners of all levels - beginner, intermediate, and advanced. In each of the Inner Circle's weekly lessons, you are presented with three mini-lessons, which feature the writing of other learners of English from all over the world. One writer might be from your native country! We know you'll enjoy reading these lessons and essays. Read an essay that has grammar errors in it; correct the errors. Or just enjoy reading an essay that has is correct. Finally, sit back and close your eyes and listen to inspiring, thoughtful, and entertaining writing from another learner of English. This feature promises to delight.

Error correction with the edit on my last post. Podcast starts about 7min 30 sec in. Sorry for the poor edit. Go bolts

Quasi-score equations derived from corrected mean and variance functions allow for consistent parameter estimation under measurement error. However, the practical use of some approaches relying on this general methodo-logical principle was strongly limited by the assumptions underlying them: only one covariate was allowed to be measured with non-negligible error, and, additionally, this covariate had to be conditionally independent of the other covariates. This paper extends basic principles of this method to multivariate and flexible models in a way that, on the one hand, retains the neat statistical properties, but on the other hand, manages to do without the restrictive assumptions needed up to now.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.04.16.043398v1?rss=1 Authors: Li, H., Januszewski, M., Jain, V., Li, P. H. Abstract: Recent advances in 3d electron microscopy are yielding ever larger reconstructions of brain tissue, encompassing thousands of individual neurons interconnected by millions of synapses. Interpreting reconstructions at this scale demands advances in the automated analysis of neuronal morphologies, for example by identifying morphological and functional subcompartments within neurons. We present a method that for the first time uses full 3d input (voxels) to automatically classify reconstructed neuron fragments as axon, dendrite, or somal subcompartments. Based on 3d convolutional neural networks, this method achieves a mean f1-score of 0.972, exceeding the previous state-of-the-art of 0.955. The resulting predictions can support multiple analysis and proofreading applications. In particular, we leverage finely localized subcompartment predictions for automated detection and correction of merge errors in the volume reconstruction, successfully detecting 90.6% of inter-class merge errors with a false positive rate of only 2.7%. Copy rights belong to original authors. Visit the link for more info