Podcasts about mit csail

For a full, uncut video version of this show (shot in Professor Andreas' MIT CSAIL office!), watch here: https://www.youtube.com/watch?v=QBV5Bj_NnbA MIT CSAIL Associate Professor Jacob Andreas walks listeners through how LLMs like ChatGPT evolved from academic curiosities to industry-disrupting technologies. Reflecting on the transformations he has observed in AI research, Professor Andreas discusses how some ideas—like linking NLP research to cognitive science—have taken a backseat, while others—like the importance of large-scale training data—remain central. He offers insights on AI use cases, the emergence of models like DeepSeek, and the critical role of human oversight in AI deployment. Acknowledging both the excitement and concerns surrounding AI, Professor Andreas believes that educators and industry alike face a challenge in keeping pace with the ‘moving target' of AI progress. Plus: learn how AI can be used to decode the language of sperm whales! About the guest: Professor Andreas is an MIT EECS Associate Professor and CSAIL PI. Before joining MIT, he earned his PhD at Berkeley. His group's research focuses on three themes: building machine learning models that learn language in human-like ways, enabling the use of language as a general-purpose tool for building intelligent systems, and developing techniques for understanding machine learning models using language. His group envisions a future built around training, explaining, and interacting with intelligent systems for users of all the world's languages. Learn more about Professor Jacob Andreas and his research here: https://www.mit.edu/~jda/ Want to know more about Professor Andreas' work on the language of sperm whales? Read here: https://news.mit.edu/2024/csail-ceti-explores-sperm-whale-alphabet-0507 MIT's CSAIL Alliances Podcast is your guide to how AI & computer science research impact how we live, work, play, and learn. Listener discounts, meet the host, and more: csail.mit.edu/podcast

The future of data management in biotech holds the key to faster discoveries and groundbreaking innovations. With new technology shaping the field, using structured multi-modal data could change how scientific progress happens.In this episode, I'm delighted to be joined by Stavros Papadopoulos, founder of TileDB. With a distinguished background as a Senior Research Scientist at Intel and a contributing member of the MIT CSAIL, Stavros brings a wealth of experience to our discussion. We talk about the challenges of data management, from breaking down data silos in biotech to how multi-dimensional arrays can improve data storage and access. Stavros also shares how TileDB's technology is set to make data handling more accurate and efficient.Learn how these tools can speed up biotech breakthroughs. Listen now!Specifically, this episode highlights the following themes:The challenge of siloed data systems in biotechThe importance of a universal data management approachTileDB's role in accelerating scientific discoveryLinks from this episode:Get to know more about Steven Swan: https://www.linkedin.com/in/swangroupGet to know more about Stavros Papadopoulos: https://www.linkedin.com/in/stavrospap/Learn more about TileDB: https://www.tiledb.com/

How AI will Change Your Job with MIT Economics Professor David Autor & The Potential of Self-Supervised Learning with CSAIL PhD Student Sharut Gupta Host: Kara Miller Part One: MIT Economics Professor David Autor says that AI is “not like a calculator where you just punch in the numbers and get the right answer. It's much harder to figure out how to be effective with it.” Offering unique insights into the future of work in an AI-powered world, Professor Autor explains his biggest worries, the greatest upside scenarios, and how he believes we should be approaching AI as a tool, and addresses how AI will impact jobs like nursing and skilled trades. Studies and papers referenced in conversation: AI and Product Innovation: https://aidantr.github.io/files/AI_innovation.p AI and the Gender Gap: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4759218 Robotics and Nursing Homes: https://www.nber.org/papers/w33116 Part Two: CSAIL PhD student Sharut Gutpa describes how self-supervised learning might bring about truly adaptable models which can respond to fast-changing environments, like consumer preferences. CSAIL Alliances connects business and industry to the people and research of MIT's Computer Science and Artificial Intelligence Labs. Learn more about CSAIL Alliances here. Each month, the CSAIL podcast features cutting-edge MIT and CSAIL experts discussing their current research, challenges and successes, as well as the potential impact of emerging tech. Learn more and listen to past episodes. Connect with CSAIL Alliances: On our site (https://cap.csail.mit.edu/about-us/meet-our-team) On X ( / csail_alliances ) On LinkedIn ( / mit-CSAIL )

In this episode of the Life Science Success Podcast, I am interviewing Dr. Stavros Papadopoulos, the founder and CEO of TileDB, Inc. We delve into Dr. Papadopoulos's journey from academia to entrepreneurship, exploring how his experiences at Intel, MIT CSAIL, and in Hong Kong shaped his innovative approach to data management. Dr. Papadopoulos shares insights on TileDB's mission to revolutionize data analytics in life sciences, discussing the unique features of their data management system and how it's addressing critical challenges in genomics and other scientific fields. We also explore the future of big data in life sciences, leadership in tech startups, and Dr. Papadopoulos's personal inspirations and concerns about the industry.   00:00 Introduction to Life Science Success Podcast 00:43 Sponsor Message from D3 Digital Media Marketing 01:19 Interview with Dr. Stavros Papadopoulos Begins 01:51 Dr. Papadopoulos' Background and Journey 02:33 The Birth of TileDB 03:16 Technical Innovations of TileDB 05:27 TileDB's Impact on Life Sciences 09:07 Influence of MIT and Intel on TileDB 10:40 Entrepreneurial Journey and Challenges 14:36 TileDB's Mission and Vision 15:58 Real-World Applications and Collaborations 25:45 Leadership and Business Insights 34:44 Final Thoughts and Reflections 41:37 Conclusion and Podcast Wrap-Up

How reliable are French language AI Chatbots? French is one of the fastest growing languages in the world. About half of all French speakers live in Africa. It's the official language in 27 countries. So when you find out that French language AI chatbots give the wrong answer a quarter of the time, that's a problem given the rising popularity of such bots. The anti-misinformation news organisation NewsGuard have just published a report on this. Ania's been speaking to Chine Labbé, she's one of the report's authors. Using AI to create AI images to train robots Imagine teaching a robot to do parkour without ever letting it see the real world. That's exactly what MIT CSAIL researchers have achieved with their new "LucidSim" system, which uses AI-generated imagery to create virtual training environments. By integrating generative AI with physics simulators, the researchers designed scenarios where robots acquire skills through synthetic data instead of relying on real-world experiences. The outcomes of this research are impressive: robots trained in these machine-generated settings achieved a success rate of 88%, in stark contrast to the mere 15% success rate of those trained by human experts. Furthermore, when the team increased the volume of AI-generated training data, there was a consistent improvement in performance, indicating that enhanced virtual practice correlates with superior real-world capabilities. This methodology addresses a significant challenge in robotics: the reliance on extensive real-world training data. It represents a significant advancement toward creating robots that can swiftly adapt to new tasks and environments. To find out more, Gareth speaks to lead researcher Ge Yang at MIT's Computer Science and Artificial Intelligence Laboratory.   The programme is presented by Gareth Mitchell and the studio expert is Ania Lichtarowicz.    More on this week's stories: French-Language AI Misinformation Monitor Learning Visual Parkour from Generated Images   Editor: Ania Lichtarowicz Production Manager: Liz Tuohy For new episodes, subscribe wherever you get your podcasts or via this link: https://somewhere-on-earth-the-global-tech-podcast-the-podextra-edition.pod.fan/ Follow us on all the socials: Join our Facebook group Instagram Twitter/X   If you like Somewhere on Earth, please rate and review it on Apple Podcasts Contact us by email: hello@somewhereonearth.co Send us a voice note: via WhatsApp: +44 7486 329 484 Find a Story + Make it News = Change the World Learn more about your ad choices. Visit megaphone.fm/adchoices

This month's podcast is a double feature. First up, Associate Professor and Chief Health AI Officer at the University of California San Diego Karandeep Singh explains the reality of using artificial intelligence for medicine. Professor Singh extrapolates on what works, what doesn't, and how some challenges are social rather than technical. Plus, MIT CSAIL's Assistant Professor Andreea Bobu explains how large language models are advancing the field of robotics. Thanks to LLMs, giving directions to robots might soon look more like a conversation, without the need for step-by-step commands. You can learn more about CSAIL research and access a full transcript of this podcast at https://cap.csail.mit.edu/. To learn about CSAIL's Professional Development Courses, including the upcoming Cybersecurity for Technical Leaders and Deploying AI courses, visit here: cap.csail.mit.edu/events-professional-programs. Podcast listeners save 10% on courses with code MITXPOD10.

Stanford's Wu Tsai Neurosciences Institute has developed an AI algorithm that replicates how the brain organizes sensory information.https://medicalxpress.com/news/2024-05-neuroscientists-ai-simulate-brain-visual.html Autobiographer is a startup that uses AI to help users create their own autobiographies.https://techcrunch.com/2024/05/30/autobiographers-app-uses-ai-to-help-you-tell-your-life-story/ MIT CSAIL and Google Research have developed a diffusion model called Alchemist.https://news.mit.edu/2024/controlled-diffusion-model-can-change-material-properties-images-0528 Visit www.integratedaisolutions.com

Instytut Wu Tsai Neurosciences Institute na Uniwersytecie Stanforda opracował algorytm sztucznej inteligencji, który odtwarza sposób, w jaki mózg organizuje informacje sensoryczne.https://medicalxpress.com/news/2024-05-neuroscientists-ai-simulate-brain-visual.html Autobiographer to startup, który wykorzystuje sztuczną inteligencję, aby pomóc użytkownikom w tworzeniu własnych autobiografii.https://techcrunch.com/2024/05/30/autobiographers-app-uses-ai-to-help-you-tell-your-life-story/ MIT CSAIL i Google Research opracowały model dyfuzji o nazwie Alchemist.https://news.mit.edu/2024/controlled-diffusion-model-can-change-material-properties-images-0528 Odwiedź www.integratedaisolutions.com

In this episode of Talk Nerdy, Cara is joined by roboticist and the first female director of MIT's Computer Science and Artificial Intelligence Laboratory, Daniela Rus. We talk about her new book, “THE HEART AND THE CHIP: Our Bright Future with Robots.” Follow Daniela's work: @MIT_CSAIL

Get your DEMYSTICON 2024 tickets here: https://www.eventbrite.com/e/demysticon-2024-tickets-727054969987 Dr. Stephanie Seneff is a Senior Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory, who turned her attention to an infamous neurodevelopmental epidemic when a friend's child was suddenly diagnosed with the condition. Using her technical knowledge of natural language processing systems, Seneff set out to untangle the biological literature to see if it was possible to identify an environmental contaminant that could be responsible for the exploding numbers of diagnoses. To her surprise, there was a robust correlation with widespread use of glyphosate, an herbicide that is the main ingredient of the Monsanto product Round-up. We talk about her path to uncovering the correlation, a potential biochemical mechanism for how it could be involved in so many disorders, and the controversy that has swirled after she went public with her findings. Check out her book and support the podcast at the same time here: https://amzn.to/3uW5pRb Tell us what you think in the comments or on our Discord: https://discord.gg/MJzKT8CQub Sign up for a yearly Patreon membership for discounted conference tickets: https://bit.ly/3lcAasB (00:00) Go! (00:08:26) Wrestling with corporate interests (00:17:20) Difficulties of getting to the bottom of biology (00:27:36) Damaging metabolism manifests as disease (00:33:01) What's going on with deuterium? (00:38:09) How glyphosate damages metabolic function (00:47:34) Reducing the impact of glyphosate post exposure (01:00:02) Inflammation as the root of disease (01:12:40) Is damage cumulative? (01:17:14) Why isn't this experimentally proven yet? (01:26:38) Bayer acquires Monsanto (01:35:34) Closing thoughts #sciencepodcast, #GlyphosateResearch, #MonsantoControversy, #HealthScience, #EnvironmentalHealth, #SciencePodcast, #PublicHealth, #BiomedicalResearch, #ToxicChemicals, #HealthControversy, #ChemicalExposure, #Neurodevelopment, #ScientificDiscovery, #HerbicideImpact, #GlyphosateDebate, #EnvironmentalToxins, #MedicalScience, #Neurobiology, #ToxicityAwareness Check our short-films channel, @DemystifySci: https://www.youtube.com/c/DemystifyingScience AND our material science investigations of atomics, @MaterialAtomics https://www.youtube.com/@MaterialAtomics Join our mailing list https://bit.ly/3v3kz2S PODCAST INFO: Anastasia completed her PhD studying bioelectricity at Columbia University. When not talking to brilliant people or making movies, she spends her time painting, reading, and guiding backcountry excursions. Shilo also did his PhD at Columbia studying the elastic properties of molecular water. When he's not in the film studio, he's exploring sound in music. They are both freelance professors at various universities. - Blog: http://DemystifySci.com/blog - RSS: https://anchor.fm/s/2be66934/podcast/rss - Donate: https://bit.ly/3wkPqaD - Swag: https://bit.ly/2PXdC2y SOCIAL: - Discord: https://discord.gg/MJzKT8CQub - Facebook: https://www.facebook.com/groups/DemystifySci - Instagram: https://www.instagram.com/DemystifySci/ - Twitter: https://twitter.com/DemystifySci MUSIC: -Shilo Delay: https://g.co/kgs/oty671

Microsoft's Copilot key for PC keyboards, Samsung's upcoming AI advancements in their smartphone series, a framework for generating photorealistic avatars that gesture according to conversational dynamics, and MIT CSAIL's exploration of how language models learn about the visual world and their potential for training visual representation learning systems. Contact:  sergi@earkind.com Timestamps: 00:34 Introduction 01:37 Microsoft wants to add a Copilot key to your PC keyboard 02:59 Galaxy Unpacked 2024: Opening a New Era of Mobile AI 04:53 Efficient LLM inference 06:15 Fake sponsor 08:20 From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations 09:50 Incremental FastPitch: Chunk-based High Quality Text to Speech 11:04 A Vision Check-up for Language Models 13:00 Outro

Neel Dey is a postdoctoral researcher at MIT CSAIL in Polina Golland's Medical Vision Group, where he is building dense representation learning and domain randomization methods for data and compute-efficient learning tasks. Neel got his Ph.D. from New York University under Guido Gerig where he worked on generative models and inverse problems in medical image analysis. E(3) x SO(3) - Equivariant Networks for Spherical Deconvolution in Diffusion MRI AnyStar: Domain randomized universal star-convex 3D instance segmentation

CSAIL Professor and Turing Award winner Mike Stonebraker sits down with Kara Miller for a conversation about research and business. They're joined by Gant Redmon, CEO of Hopara, an Agile Digital Twin company that was built at MIT CSAIL. A full transcript of this podcast can be found at cap.csail.mit.edu

On this episode of the AI For All Podcast, Manasi Vartak, CEO of Verta, joins Ryan Chacon to discuss AI governance, AI regulation, and AI bias. They talk about generative AI and its risks, reducing AI bias, responsible AI, and how regulation will impact AI adoption. Manasi Vartak is the founder and CEO of Verta, the Menlo Park, California-based provider of the Verta Operational AI platform and Verta Model Catalog. Manasi invented experiment management and tracking while at MIT CSAIL when she created ModelDB, the first open-source model management system deployed at Fortune 500 companies and the progenitor of MLflow. After earning her PhD from MIT, Vartak went on to data science positions at Twitter, where she worked on deep learning for content recommendation as part of the feed-ranking team, and Google, where she worked on dynamic ad-targeting, before founding Verta. Emerging from the AI innovations at MIT, Twitter, NVIDIA, Google, and Facebook, Verta, based in Silicon Valley, specializes in Model Catalog, Model Lifecycle Management, and AI portfolio management. Since its inception in 2018, it has served Fortune 500 companies and digital pioneers, and was recognized as a 'Gartner Cool Vendor AI Core Technologies' in 2022. More about Verta: https://www.verta.ai Connect with Manasi: https://www.linkedin.com/in/manasi-vartak/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:13) Intro to Manasi Vartak and Verta (01:44) What is generative AI? (02:52) Current state and future of generative AI (04:05) Generative AI risks (05:32) AI bias (06:54) Reducing AI bias (10:58) What makes generative AI possible? (12:34) AI governance and responsible AI (15:30) Who is responsible for making AI responsible? (18:41) AI regulation (23:52) How will regulation impact AI adoption? (27:51) Will we struggle to govern AI in the future? (28:37) Learn more about Verta Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall

Directionally Correct podcast is sponsored by Worklytics! https://www.worklytics.co/directionallycorrect/ Leaked Google Document: We have no moat, but neither does OpenAI: https://simonwillison.net/2023/May/4/no-moat/ ChatGPT Code Interpreter: https://docs.kanaries.net/articles/chatgpt-code-interpreter Pre-Prints on arxiv.org: https://arxiv.org/ Kelsie's article: Examining the Use of Game Based Assessment for Hiring Autistic Job Seekers: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628896/pdf/jintelligence-09-00053.pdf Results on MTurk are Getting Worse: https://twitter.com/emollick/status/1607589896222576640 ChatGPT as a Reviewer: https://twitter.com/emollick/status/1605022328647077888?s=20 Computers can Never be Held Accountable: https://twitter.com/MIT_CSAIL/status/1484933879710371846?s=20

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: Have you heard about MIT's "liquid neural networks"? What do you think about them?, published by Ppau on May 9, 2023 on LessWrong. I came across this video by MIT CSAIL. Here is the article they are talking about: This team claims to have achieved driving tasks that previously required 10000 neurons, while using only 19, by using "liquid neural networks" inspired by worm neurology. They say this innovation brings massive improvements on performance, especially in embedded systems, but also in interpretability, since the reduced number of neurons makes the system much more human-readable. In particular, the attention of the system would be much more easily tracked; this would open the door to safety certifications for high-stakes applications. Having tried driving and flying tasks in different conditions and environments, they also claim that their system is vastly better at out-of-distribution zero-shot tasks. So basically, they believe they have made very substantial steps in pretty much every dimension that matters, both for performance and for safety. As far as I can tell these are very serious researchers, but doesn't that sound a bit too god to be true? I have no expertise in machine learning and I haven't seen any third-party opinions on this yet, so I'm having a hard time making up my mind. I'd be curious to hear your takes! Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

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: Have you heard about MIT's "liquid neural networks"? What do you think about them?, published by Ppau on May 9, 2023 on LessWrong. I came across this video by MIT CSAIL. Here is the article they are talking about: This team claims to have achieved driving tasks that previously required 10000 neurons, while using only 19, by using "liquid neural networks" inspired by worm neurology. They say this innovation brings massive improvements on performance, especially in embedded systems, but also in interpretability, since the reduced number of neurons makes the system much more human-readable. In particular, the attention of the system would be much more easily tracked; this would open the door to safety certifications for high-stakes applications. Having tried driving and flying tasks in different conditions and environments, they also claim that their system is vastly better at out-of-distribution zero-shot tasks. So basically, they believe they have made very substantial steps in pretty much every dimension that matters, both for performance and for safety. As far as I can tell these are very serious researchers, but doesn't that sound a bit too god to be true? I have no expertise in machine learning and I haven't seen any third-party opinions on this yet, so I'm having a hard time making up my mind. I'd be curious to hear your takes! Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Mike gives a detailed explanation of data visualization and its role in the IoT industry, along with insights into its current landscape. Mike and Gant also speak on common challenges and solving these issues for companies working in the space before giving their thoughts on what they look forward to in the space in the near future.Mike Stonebraker is the founder and CTO of Hopara. He won the 2014 Turing Awards and has worked at 10 commercial startups. Gant Redmon is the CEO of Hopara with a strong record of growing and maximizing asset value.Hopara is the next-gen viz app creator designed at MIT CSAIL specifically for big/real-time data, IoT, Digital Twins, and ESG. Their apps make it easier for any end user to engage with data in a dynamic, visually rich environment that requires no special skills or training. Hopara gives data stakeholders the power to access and understand comprehensive data stores in context as easily as surfing the web.

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: Announcing Epoch: A research organization investigating the road to Transformative AI, published by Jaime Sevilla on June 27, 2022 on The Effective Altruism Forum. Summary We are a new research organization working on investigating trends in Machine Learning and forecasting the development of Transformative Artificial Intelligence This work is done in close collaboration with other organizations, like Rethink Priorities, Open Philanthropy, and MIT CSAIL We will be hiring for 2-4 full-time roles this summer – more information here You can find up-to-date information about Epoch on our website What is Epoch? Epoch is a new research organization that works to support AI strategy and improve forecasts around the development of Transformative Artificial Intelligence (TAI) – AI systems that have the potential to have an effect on society as large as that of the industrial revolution. Our founding team consists of seven members – Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Pablo Villalobos, Eduardo Infante-Roldán, Marius Hobbhahn, and Anson Ho. Collectively, we have backgrounds in Machine Learning, Statistics, Economics, Forecasting, Physics, Computer Engineering, and Software Engineering. Our work involves close collaboration with other organizations, such as MIT CSAIL, Open Philanthropy, and Rethink Priorities' AI Governance and Strategy team. We are advised by Tom Davidson from Open Philanthropy and Neil Thompson from MIT CSAIL. Rethink Priorities is also our fiscal sponsor. Our mission Epoch seeks to clarify when and how TAI capabilities will be developed. We see these two problems as core questions for informing AI strategy decisions by grantmakers, policy-makers, and technical researchers. We believe that to make good progress on these questions we need to advance towards a field of AI forecasting. We are committed to developing tools, gathering data and creating a scientific ecosystem to make collective progress towards this goal. Our research agenda Our work at Epoch encompasses two interconnected lines of research: The analysis of trends in Machine Learning. We aim to gather data on what has been happening in the field during the last two decades, explain it, and extrapolate the results to inform our views on the future of AI. The development of quantitative forecasting models related to advanced AI capabilities. We seek to use techniques from economics and statistics to predict when and how fast AI will be developed. These two research strands feed into each other: the analysis of trends informs the choice of parameters in quantitative models, and the development of these models brings clarity on the most important trends to analyze. Besides this, we also plan to opportunistically research topics important for AI governance where we are well positioned to do so. These investigations might relate to compute governance, near-term advances in AI and other topics. Our work so far Earlier this year we published Compute Trends Across Three Eras of Machine Learning. We collected and analyzed data about the training compute budget of >100 Machine Learning models across history. Consistent with our commitment to field building, we have released the associated dataset and an interactive visualization tool to help other researchers understand these trends better. This work has been featured in Our World in Data, in The Economist and at the OECD. More recently we have published Grokking “Forecasting TAI with biological anchors” and Grokking “Semi-informative priors over AI timelines”. In these pieces, Anson Ho dissects two popular AI forecasting models. These are the two first installments of a series of articles covering work on quantitative forecasting of when we will develop TAI. You can see more of our work on our blog. Here is a selection of further work by Epoch membe...

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: Announcing Epoch: A research organization investigating the road to Transformative AI, published by Jaime Sevilla on June 27, 2022 on The AI Alignment Forum. Summary We are a new research organization working on investigating trends in Machine Learning and forecasting the development of Transformative Artificial Intelligence This work is done in close collaboration with other organizations, like Rethink Priorities, Open Philanthropy, and MIT CSAIL We will be hiring for 2-4 full-time roles this summer – more information here You can find up-to-date information about Epoch on our website What is Epoch? Epoch is a new research organization that works to support AI strategy and improve forecasts around the development of Transformative Artificial Intelligence (TAI) – AI systems that have the potential to have an effect on society as large as that of the industrial revolution. Our founding team consists of seven members – Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Pablo Villalobos, Eduardo Infante-Roldán, Marius Hobbhahn, and Anson Ho. Collectively, we have backgrounds in Machine Learning, Statistics, Economics, Forecasting, Physics, Computer Engineering, and Software Engineering. Our work involves close collaboration with other organizations, such as MIT CSAIL, Open Philanthropy, and Rethink Priorities' AI Governance and Strategy team. We are advised by Tom Davidson from Open Philanthropy and Neil Thompson from MIT CSAIL. Rethink Priorities is also our fiscal sponsor. Our mission Epoch seeks to clarify when and how TAI capabilities will be developed. We see these two problems as core questions for informing AI strategy decisions by grantmakers, policy-makers, and technical researchers. We believe that to make good progress on these questions we need to advance towards a field of AI forecasting. We are committed to developing tools, gathering data and creating a scientific ecosystem to make collective progress towards this goal. Our research agenda Our work at Epoch encompasses two interconnected lines of research: The analysis of trends in Machine Learning. We aim to gather data on what has been happening in the field during the last two decades, explain it, and extrapolate the results to inform our views on the future of AI. The development of quantitative forecasting models related to advanced AI capabilities. We seek to use techniques from economics and statistics to predict when and how fast AI will be developed. These two research strands feed into each other: the analysis of trends informs the choice of parameters in quantitative models, and the development of these models brings clarity on the most important trends to analyze. Besides this, we also plan to opportunistically research topics important for AI governance where we are well positioned to do so. These investigations might relate to compute governance, near-term advances in AI and other topics. Our work so far Earlier this year we published Compute Trends Across Three Eras of Machine Learning. We collected and analyzed data about the training compute budget of >100 Machine Learning models across history. Consistent with our commitment to field building, we have released the associated dataset and an interactive visualization tool to help other researchers understand these trends better. This work has been featured in Our World in Data, in The Economist and at the OECD. More recently we have published Grokking “Forecasting TAI with biological anchors” and Grokking “Semi-informative priors over AI timelines”. In these pieces, Anson Ho dissects two popular AI forecasting models. These are the two first installments of a series of articles covering work on quantitative forecasting of when we will develop TAI. You can see more of our work on our blog. Here is a selection of further work by Epoch members: Pr...

CSAIL Professor Una-May O'Reilly discusses her work at the ALFA Group at MIT CSAIL and gives insights into the differences between Deep Learning and Deep Understanding.

Professor Manolis Kellis of MIT CSAIL and the Broad Institute of MIT and Harvard discusses the effects COVID-19 has had on his computational biology research. Kellis believes that by being aware of genetic predispositions we can better prepare to confront each person's unique challenges. Access the transcript for this podcast at: https://cap.csail.mit.edu/sites/default/files/2021-10/Manolis%20Kellis%20CAP%20Podcast%20Export%203.pdf

Sara Archour recently completed a PhD at MIT/CSAIL in Computer Science and Artificial Intelligence, and is joining Stanford University (EE) as an Associate Professor. Sara studies analog computers - how to build them; how to use them; what they're good for; how to stick them together to do interesting things; and so forth. Today, Sara joined us to discuss these things, with a smidgeon of career advice at the end :) Sara Archour's homepage can be found HERE. This presentation can also be viewed in video format HERE.

In this episode, I converse with Prof. Amy X. Zhang, an assistant professor at the University of Washington's Allen School of Computer Science and Engineering. Previously, she was a Postdoc at Stanford University's Computer Science Department after completing her Ph.D. at MIT CSAIL in 2019, where she received the George Sprowls Best Ph.D. Thesis Award at MIT in computer science. During her Ph.D., she was an affiliate and 2018-19 Fellow at the Berkman Klein Center at Harvard University, a Google Ph.D. Fellow, and an NSF Graduate Research Fellow.Amy received an M.Phil. in Computer Science at the University of Cambridge on a Gates Fellowship and a B.S. in Computer Science at Rutgers University, where she was captain of the Division I Women's tennis team. Amy's research is in the field of human-computer interaction and social computing where she works on designing and building systems to improve discourse, collaboration, and understanding online, with applications to social media and online communities, news and civic engagement, education, and computer-supported cooperative work and collective action. Her work has received a best paper award at ACM CSCW, a best paper honorable mention award at ACM CHI, and has been profiled on BBC's Click television program, CBC radio, and featured in articles by ABC News, The Verge, New Scientist, and Poynter. She is a founding member of the Credibility Coalition, a group dedicated to research and standards for information credibility online. We indulge in a terrific conversation on her fantastic journey in science; fantastic mentors who inspired her; confronting the imposter syndrome; tennis; human-computer interaction; and many more things!!

MIT CSAIL spinout Inkbit this week announced that it has raised $30 million. The Series B, led by Phoenix Venture Partners LLC, brings the firm's total funding up to $45 million. PVP joins existing partners like industrial 3D printing giant Stratasys, DSM Venturing, Ocado, 3M, IMA and Saint-Gobain. Inkbit was founded in 2017, building on […]

MIT CSAIL spinout Inkbit this week announced that it has raised $30 million. The Series B, led by Phoenix Venture Partners LLC, brings the firm's total funding up to $45 million. PVP joins existing partners like industrial 3D printing giant Stratasys, DSM Venturing, Ocado, 3M, IMA and Saint-Gobain. Inkbit was founded in 2017, building on […]

Professor Daniel Jackson of MIT CSAIL is working on a number of projects to make software more usable, reliable, and secure. By rethinking the fundamentals of software design, he says that developers can ultimately give more flexibility to users in the structure and organization of software, as well as meet more user needs. Learn more about Professor Jackson at: https://bit.ly/3paRcsm Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Daniel%20Jackson%20Podcast.pdf

Professor Jacob Andreas of MIT CSAIL is trying to close the gap between current machine learning techniques and human abilities to learn language and learn from language about the rest of the world. Learn more about Prof. Andreas at: https://bit.ly/3vECQ5o. Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Edit%20II%20.pdf.

Artificial intelligence can transform healthcare -- and the medical profession may be behind the curve. Regina Barzilay joins Vasant Dhar in episode 9 of Brave New World to talk about how doctors, programmers and lawyers need to find a meeting point to make the revolution happen. Useful resources: 1. Regina Barzilay at MIT CSAIL and MIT J-Clinic. 2. A Deep Learning Approach to Antibiotic Discovery -- Regina Barzilay and others. 3. Toward robust mammography-based models for breast cancer risk -- Regina Barzilay and others. 4. Multi-Objective Molecule Generation using Interpretable Substructures -- Regina Barzilay and others. 5. Human and Artificial Intelligence in Healthcare -- Episode 4 of Brave New World (w Eric Topol). 6. Artificial Intelligence — The Revolution Hasn't Happened Yet -- Michael Jordan. 7. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission -- Rich Caruana and others.

Dr. Aaron Edsinger spent years at MIT CSAIL's Humanoid Robotics Group, building robots in the shape of human torsos under the tutelage of world-renowned roboticist Rodney Brooks. It may seem strange, then, that the flagship product at his latest startup, Hello Robot, doesn't look human at all.  Listen in to hear about how Edsinger views the difference between startups and corporate life when it comes to innovation that truly serves people and communities well, from the iterative design process down to the pragmatism of simple design. Edsinger has run the gamut from founding robotics startups to Head of Robotics at Google to founding robotics startups acquired by Google. Throughout, he's gained unique perspective on what it means to design robotics that are designed for the market and how that differs from designs that are market-ready.   

539: Daniela Rus, the director of MIT CSAIL, imagines a future where robots are so integrated in the fabric of human life that they become as common as smart phones are today. In this interview, we discuss some of the many examples in which robotics and AI have been used in new ways during the pandemic, why AI is most effective when people and machines work together, and some of the ways AI will positively impact our lives in the future. We also discuss why we should think of AI as interns and humans as the ones who make the important decisions, the state of autonomous vehicles and the work Daniela's team is doing in that field, among a variety of other topics. 

539: Daniela Rus, the director of MIT CSAIL, imagines a future where robots are so integrated in the fabric of human life that they become as common as smart phones are today. In this interview, we discuss some of the many examples in which robotics and AI have been used in new ways during the pandemic, why AI is most effective when people and machines work together, and some of the ways AI will positively impact our lives in the future. We also discuss why we should think of AI as interns and humans as the ones who make the important decisions, the state of autonomous vehicles and the work Daniela's team is doing in that field, among a variety of other topics. 

Cryptography, the study of finding secure methods of communication, may seem to many of us as, well, cryptic. But in spite of its more theoretical and foundational nature in computing, cryptography is more important now than ever in securing private communication and other types of information that are no longer stored on our own private machines. Professor Yael Kalai of MIT CSAIL and Senior Principal Researcher at Microsoft Research New England is a cryptographer and theoretical computer scientist working on state-of-the-art ways of securing computation. Learn more about Prof. Kalai's at: https://cap.csail.mit.edu/engage/spotlights/yael-kalai?utm_source=souncloud&utm_medium=social%20media&utm_campaign=yael_kalai_spotlight Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Video%20Edit%20II%20.pdf

In this episode, I converse with Shubhendu Trivedi, who's currently a Machine Learning Researcher at MIT CSAIL, where he works with Prof. Regina Barzilay and Prof. Tommi Jaakkola as part of the MIT Machine Learning for Pharmaceutical Discovery and Synthesis Consortium (MLPDS). Prior to that he was the NSF sponsored Institute Fellow at Brown University's Institute for Computational and Experimental Research in Mathematics and completed a PhD on group covariant neural networks at the Toyota Technological Institute at Chicago and the University of Chicago. Shubhendu's research particularly focuses on causal learning and representation learning for graph-structured data, with a particular focus on applications to drug discovery. We talk about his fantastic journey in science, being there at the pivotal moment when the deep learning revolution took off, phenomenal mentors who guided him through academia and life, the unique characteristics of research in academia and industry, dealing with issues of bias and ethics in AI systems, his eclectic reading interests and obsession with collecting books, and many more things!!

Soft Robots with embedded sensing, actuation, computation, and adapting their physical properties for changing requirements. Bio: Nikolaus is an associate professor at the Department of Computer Science with courtesy appointments at the Department of Electrical, Computer and Energy Engineering and the Department of Aerospace Engineering at the University of Colorado at Boulder. He obtained a PhD from EPFL advised by Alcherio Martinoli in 2007, and spent two years at MIT CSAIL working with Daniela Rus as a post-doc. Before moving to EPFL, Nikolaus was a research assistant in the Collective Robotics Group at Caltech in 2003, also with Alcherio Martinoli. Nikolaus earned a Master’s degree in Electrical Engineering from the Swiss Federal Institute of Technology Zurich (ETH Zürich) in spring 2003. He wrote his master’s thesis at the Collective Robotics Group at the California Institute of Technology, Pasadena, CA, USA, about collaborative coverage supervised by Alcherio Martinoli and Joel Burdick, and spent a term at Lunds Tekniska Högskola (Lund Institute of Technology, Sweden) as an exchange student at the Department of Automatic Control working with Rolf Johansson in 2002. Before moving to ETH Zuerich in 2000, Nikolaus studied electrical engineering at the Technical University of Munich from 1998.

Our new reality is increasingly one of virtuality. D. Fox Harrell, Ph.D., studies the relationship between computing and imagination for emerging forms of digital media, as well as their social and ethical impact. From videogames that better support diverse user groups to a personalized Universal Hip Hop Museum experience, his work falls into both the design and analysis of virtual technologies. Prof. Harrell and his research group in MIT CSAIL build analytical tools using AI identifying trends and biases and developing new design principles we can apply to our work in industry and academia. Learn more about Prof. Harrell's virtuality research at: https://cap.csail.mit.edu/engage/spotlights/d-fox-harrell-0?utm_source=soundcloud&utm_medium=social%20media&utm_campaign=d_fox_harrell_spotlight Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Fox%20Harrell%20Spotlight%20transcript.pdf

In this episode, I chat with Divya Shanmugam, a Graduate Student in the Clinical and Applied Machine Learning Group at MIT CSAIL advised by Prof. John Guttag. Divya completed her undergrad from MIT itself and majored in computer science with a concentration in South Asian studies. She has also interned at Microsoft Research, Borealis AI, D.E. Shaw Research, Counsyl, and Aetion. Divya is currently focused on building machine learning models that are resilient to unreliable data. We talk about her growing up in a family of academics and getting an early initiation into the world of scientific research; delving into the intersection of computation and biology; differing experiences in an industrial and academic research setting; choosing a graduate school lab and project; virtual seminars and conferences; the importance of a humanistic perspective to contextualise advances in computing; diversity and its connection with ensembles; her current eclectic reading list; and many more things!!

It was a pleasure to have John Leonard, a professor at MIT CSAIL. John is one of the early pioneers of SLAM & interesting anecdotes about marine robotics, Emergent behavior, and his heroes in the field. I hope you enjoy listening. Video format: https://youtu.be/JuQSUXF3LaM

If we want robots to assist us with everyday tasks, they’ll need to be able to manipulate objects on a human level. To do that, they need good fingers. Professor Ted Adelson of MIT CSAIL is developing robotic fingers that are sensitive and soft like human fingers, enabling robots to use their hands intelligently to accomplish chosen tasks. Read more about Ted Adelson at: https://cap.csail.mit.edu/engage/spotlights/ted-adelson?utm_source=soundcloud&utm_medium=social%20media&utm_campaign=spotlight_ted_adelson Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/CSAIL%20Alliances%20Researcher%20Spotlight-%20Ted%20Adleson.pdf

In COVID-related AI news, MIT researchers have published a machine learning algorithm that can diagnose COVID-19 by the sounds of a person’s forced cough. And the US Veterans Affairs Department rolls out a machine learning tool to predict mortality rates of COVID-19 patients. In non-COVID news, the JAIC releases the Department of Defense’s AI Education Strategy, which contains a detailed description of requirements, required instruction, and competencies. DoD also releases a new electromagnetic spectrum strategy, which contains a number of machine-learning mentions. And Tesla began making available its “full self-driving beta” to a small number of “expert and careful drivers.” Research from MIT CSAIL have created a machine learning system that can reportedly decipher “lost” languages; they built it on several principles from insights into historical linguistics, such as the observation that languages generally only evolve in certain predictable ways (such as sound substitutions). In other language news, Facebook makes available a machine learning model that can translate directly between 100 different languages (rather than using English as a go-between). Research from CalTech and Purdue creates a “Fourier neural operator” that can solve parametric partial differential equations, nearly 1000 times faster than traditional solvers. And research from the University of Waterloo looks at “less than one-“shot learning, attempting to allow an AI to learn with almost no data (and thus recognize more objectives than the number of examples trained on). Click here to visit our website and explore the links mentioned in the episode.   

A project out of MIT is using artificial intelligence to scan lost languages and find rules and conventions that may help us figure out what all those words from years ago might mean. Plus: historic signs in South Nyack, New York are using QR codes to tell us something timeless - a message that's never gonna give us up. MIT CSAIL’s AI revives dead languages it hasn’t seen before (VentureBeat) Rickrolled: South Nyack historical sign on Esposito trail delivers pop music prank (lohud) Backer is a beautiful word in any language. Support our show on Patreon today! --- Send in a voice message: https://anchor.fm/coolweirdawesome/message

http://catherineyeo.tech/ (Catherine Yeo) is a Harvard undergrad studying Computer Science. She's previously worked for Apple, IBM, and MIT CSAIL in AI research and engineering roles. She writes about machine learning in Towards Data Science and in her new publication http://fairbytes.org/ (Fair Bytes.) Learn more about Catherine: http://catherineyeo.tech/ (http://catherineyeo.tech/) Read Fair Bytes: http://fairbytes.org/ (http://fairbytes.org/) Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 (https://mlengineered.ck.page/943aa3fd46) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Timestamps: (02:48) How she was first exposed to CS and ML (07:06) Teaching a high school class on AI fairness (10:12) Definition of AI fairness (16:14) Adverse outcomes if AI bias is never addressed (22:50) How do "de-biasing" algorithms work? (27:42) Bias in Natural Language Generation (36:46) State of AI fairness research (38:22) Interventions needed? (43:18) What can individuals do to reduce model bias? (45:28) Publishing Fair Bytes (52:42) Rapid Fire Questions Links: https://arxiv.org/abs/2008.01548 (Defining and Evaluating Fair Natural Language Generation) https://arxiv.org/abs/1607.06520 (Man is to Computer Programmer as Woman is to Homemaker?) http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf (Gender Shades) https://arxiv.org/abs/2005.14165 (GPT-3 Paper: Language Models are Few Shot Learners) https://medium.com/fair-bytes/how-biased-is-gpt-3-5b2b91f1177 (How Biased is GPT-3?) https://medium.com/fair-bytes/reading-list-for-fairness-in-ai-topics-337e8606fd8d (Reading List for Fairness in AI Topics) https://towardsdatascience.com/machine-learnings-obsession-with-kids-tv-show-characters-728edfb43b3c (Machine Learning's Obsession with Kids' TV Show Characters)

In news items, Andy and Dave discuss an effort by Boston Children’s Hospital to use machine learning to help track the spread of COVID-19. Meanwhile, a proposal from researchers wants to use mobile phones to track the virus’s spread. Fifty-two organization have come together to develop the “first-ever industry-led” standard for AI in healthcare. The National Oceanic and Atmospheric Administration (NOAA) announces its AI strategy. And IBM and Promare begin sea trials for Mayflower, an autonomous ship that, later this year, will make the reverse of the 1620 Mayflower transit, completely unmanned. In research, Google and Columbia University enable a robot to teach itself how to walk with minimal human intervention (bounding the terrain, and making the robot’s trial movements more cautious). Researchers at Harvard, MIT CSAIL, IBM-Watson-AI Lab, and DeepMind introduce CLEVRER (Collision Events for Video Representation and Reasoning), a diagnostic video dataset for the evaluation of models on a wide range of reasoning tasks. And DeepMind proposal a new reinforcement learning technique that models human behavior, using a gifting game in which agents learn to trust each other. The Berkman Klein Center at Harvard updates its data map of Ethical and Rights-based approaches to Principles for AI. The Center for the Study of the Dragon releases its likely last paper, Unarmed and Dangerous, which looks at how non-weaponized drones can still have lethal effects. Cansu Canca has provided a database and interface that looks at global dynamics of AI principles. Mario Alemi provides the book of the week, with the Amazing Journey of Reason: from DNA to AI. And the livestream talks from the 34th AAAI Conference are now available online. Click here to visit our website and explore the links mentioned in the episode. 

MIT CSAIL Professor Manolis Kellis discusses how the symbiotic relationship between computer science and biology helps us to better understand the complex programming language that is our DNA. Through DNA, we can find the molecular basis of the pathophysiology of a disease and take a more holistic approach to disease treatment, and one day may even predict disease. He explains the impact of human genome and epigenome research on the pharmaceutical industry in developing medicine that is both precise and personalized, dramatically transforming the therapeutic landscape. Manolis Kellis Principal Investigator, MIT CSAIL, Professor of Computer Science, Computational Biology Group leader https://cap.csail.mit.edu/podcasts/understanding-science-disease-through-human-genome-research Download the podcast transcript: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Podcast_ManolisKellis_04_29_2020.mp3_.pdf

Here we are again the latest episode from the triplets of Nerdity, that’s right folks those wacky goofballs have done it again. First up we have Buck bringing us news about new robots using the art of Kirigami. The art of cutting paper, in this case it is cutting and folding paper. This method has been applied to robotics with some awesome results. Now while it is only early days, we ask you to remember the Origami claw we featured a while back. With this in mind you will understand why Buck is excited, and Professor joins in with the excitement. This is just the start of the show and it is already looking fantastic.Next we look at the dismal lack of taste exhibited by the foolish bunch of weirdos in Hollywood behind the Golden Globes. That’s right we said it, actually Buck did if any snipers are being sent for reprisals. But seriously, just get those idiots to go look at some of the amazing work in animation out there. It doesn’t have to be all CGI, honestly Hollywood was built on proper special effects. These days they struggle to do anything outside a computer lab. While we are not meaning to insult CGI and the wonders it can produce, why can’t we have some proper animation and anime getting awards. When can we see some real special effects like we used to get back in the day. Not meaning to sound as grumpy as Buck or as old as a Boomer but seriously the talent involved in special effects was astounding.Last we look at a remake of Sonic 06 that is actually looking good. That is until corporate lawyers realised they could make money by getting it shut down. Take a moment and open the link, doesn’t that look so much better then what was dumped on the market like so much garbage? The amount of work involved must be mind-blowing, but there may be hope for the future. Want to know what that might be, well you will need to listen in to find out. You thought I was slipping and going to tell you everything, but believe me, there is so much more for you.We finish with the regular shout outs, remembrances, birthdays, and special events. As always we hope you take care of yourselves, look out for each other and stay hydrated.Self-folding robots using kirigami- https://techxplore.com/news/2019-12-robots-self-folding-kirigami-materials.html- https://www.pnas.org/content/early/2019/12/11/1906435116/tab-figures-dataAnime Movies snubbed from Golden Globes - https://www.cbr.com/golden-globes-shuts-out-anime-films-promare-weathering-with-you-i-lost-my-body/Sonic 06 Remade by a Fan - https://www.engadget.com/2019/12/11/sonic-p-06-unity-pc-fan-remake/Games currently playingBuck– Pirates Slay - https://www.crazygames.com/game/pirates-slayRating: 4.5/5DJ– Frenzy Retribution - https://store.steampowered.com/app/1108560/FrenzyRetribution/Rating: 4/5Professor- Age of Empires 2 Definitive Edition - https://store.steampowered.com/app/813780/Age_of_Empires_II_Definitive_Edition/Rating: 4.733/5Other topics discussedKirigami Definiton (variation of origami that includes cutting of the paper, rather than solely folding the paper as is the case with origami, but typically does not use glue.)- https://en.wikipedia.org/wiki/Kirigami- https://www.origami-resource-center.com/kirigami-for-kids.htmlT-1000 (A fictional character in the Terminator franchise. A shape shifting android assassin, it was created by Skynet. The T-1000 is described in Terminator 2 as being composed of liquid metal, or a mimetic polyalloy (nanorobotics) that it can manipulate to assume various forms.)- https://en.wikipedia.org/wiki/T-1000Origami Gripper (A team at MIT CSAIL have been working on a solution to this problem, which they call the Origami gripper. The gripper consists of a flexible, folding skeleton surrounded by an airtight skin.)- https://hackaday.com/2019/03/18/origami-gripper-is-great-for-soft-and-heavy-objects/Microbots (tiny nanobots constructed by Hiro Hamada from Big Hero 6)- https://disney.fandom.com/wiki/MicrobotsPoisoned books in universities- https://theconversation.com/how-we-discovered-three-poisonous-books-in-our-university-library-98358Shadows from the Walls of Death (printed in 1874 it is a noteworthy book for two reasons: its rarity, and the fact that, if you touch it, it might kill you. It contains just under a hundred wallpaper samples, each of which is saturated with potentially dangerous levels of arsenic)- https://www.atlasobscura.com/articles/shadows-from-the-walls-of-death-bookSouth Korean Cinemas suing Disney over Frozen 2- https://www.telegraph.co.uk/news/2019/12/03/disney-sued-frozen-2s-monopoly-south-korean-cinemas/Banana on the wall masterpiece and aftermath- https://www.smh.com.au/culture/art-and-design/the-banana-on-the-wall-was-a-masterpiece-until-somebody-ate-it-20191209-p53i0u.html- https://nypost.com/2019/12/09/banana-wall-vandalized-with-jeffrey-epstein-theory-at-art-basel/PPAP (Pen-Pineapple-Apple-Pen) (is a single by Pikotaro, a fictional singer-songwriter created and portrayed by Japanese comedian Daimaou Kosaka.)- https://en.wikipedia.org/wiki/PPAP_(Pen-Pineapple-Apple-Pen)Banksy painting purchased and shredded- https://www.nbcnews.com/think/opinion/banksy-s-shredded-painting-stunt-was-viral-performance-art-who-ncna921426Money Heist (Spanish television heist crime drama series.)- https://en.wikipedia.org/wiki/Money_HeistThe Grand Tour (created by Jeremy Clarkson, Richard Hammond, James May, and Andy Wilman, produced by Amazon exclusively for its online streaming service Amazon Prime Video)- https://en.wikipedia.org/wiki/The_Grand_TourBlack Sails (American historical adventure television series set on New Providence Island and written to be a prequel to Robert Louis Stevenson's novel Treasure Island.)- https://en.wikipedia.org/wiki/Black_Sails_(TV_series)P.T. (initialism for "playable teaser") is a first-person psychological horror video game developed by Kojima Productions, under the pseudonym "7780s Studio", and published by Konami. The game was directed and designed by Hideo Kojima, in collaboration with film director Guillermo del Toro.- https://en.wikipedia.org/wiki/P.T._(video_game)Fan Remake Of P.T. for free (indie developer managed to remake the P.T. demo and give it out to the general public for free, so for everyone who missed out on it years ago can play the fan remake right now.)- https://www.cinemablend.com/games/2444440/you-can-play-a-fan-remake-of-pt-for-freeKonami shuts down P.T fan remake- https://www.cinemablend.com/games/2450779/the-pt-fan-remake-was-just-killed-by-konamiP.T fan remake Developer offered an internship- https://www.polygon.com/2018/7/13/17570252/pt-on-pc-fan-remake-cease-desist-pulledMarkets (Age of Empires 2 building)- https://ageofempires.fandom.com/wiki/Market_(Age_of_Empires_II)Ukrainian Soviet Socialist Republic (also known as Soviet Ukraine, was one of the constituent republics of the Soviet Union from the Union's inception in 1922 to its breakup in 1991.)- https://en.wikipedia.org/wiki/Ukrainian_Soviet_Socialist_RepublicShoutouts17 Dec 1989 – First episode of The Simpsons airs in the United States with the episode titled Simpsons Roasting on an Open Fire, although it was titled onscreen as "The Simpsons Christmas Special" -https://en.wikipedia.org/wiki/Simpsons_Roasting_on_an_Open_Fire17 Dec 2003 – SpaceShipOne, piloted by Brian Binnie, makes its first powered and first supersonic flight, which was also the one-hundredth anniversary of the Wright Brothers' historic first powered flight. - https://en.wikipedia.org/wiki/SpaceShipOne17/12/2019 - Shoutout to the New South Wales and Queensland Fire fighters along with their Rural Fire Association Queensland Raffle- https://www.news.com.au/technology/environment/very-unpredictable-fire-conditions-forecast-for-nsw-amid-soaring-temperatures-volatile-winds/live-coverage/76f62241194e47b012e83caf81c535a8- https://www.rfbaq.org/au75Remembrances20 Nov 2019 – Tony Brooker, British academic, was a computer scientist known for developing the Mark 1 Autocode language. He also designed the compiler-compiler which is a programming tool that creates a parser, interpreter, or compiler from some form of formal description of a programming language and machine. He died at the age of 94 in Hexham - https://www.nytimes.com/2019/12/13/technology/tony-brooker-dead.html17 Dec 1907 - William Thomson, 1st Baron Kelvin, Irish-Scottish (of Ulster Scots heritage) mathematical physicist and engineer who was born in Belfast in 1824. At the University of Glasgow he did important work in the mathematical analysis of electricity and formulation of the first and second laws of thermodynamics, and did much to unify the emerging discipline of physics in its modern form. Absolute temperatures are stated in units of kelvin in his honour. While the existence of a lower limit to temperature (absolute zero) was known prior to his work, Kelvin is known for determining its correct value as approximately −273.15 degree Celsius or −459.67 degree Fahrenheit. He died from a severe chill at the age of 83 in Largs, Ayrshire - https://en.wikipedia.org/wiki/William_Thomson,_1st_Baron_Kelvin17 Dec 2016 - Henry Judah Heimlich, American thoracic surgeon and medical researcher. He is widely credited as the inventor of the Heimlich maneuver, a technique of abdominal thrusts for stopping choking, described in Emergency Medicine in 1974. He also invented the Micro Trach portable oxygen system for ambulatory patients and the Heimlich Chest Drain Valve, or "flutter valve", which drains blood and air out of the chest cavity. He died after complications from a heart attack at the age of 96 in Cincinnati, Ohio - https://en.wikipedia.org/wiki/Henry_HeimlichFamous Birthdays17 Dec 1905 - Simo "Simuna" Häyhä, nicknamed "White Death"by the Red Army,was a Finnishsniper. He is believed to have killed 500 men during the 1939–40 Winter War, the highest number of sniper kills in any major war. He used a Finnish-produced M/28-30 rifle, a variant of the Mosin–Nagant rifle, and a Suomi KP/-31 sub machine gun. His unit's captain Antti Rantama credited him with 259 confirmed kills by sniper rifle and an equal number of kills by sub machine gun during the Winter War. Häyhä never talked about it publicly but estimated in his diary that he killed around 500. He was born in Rautjärvi, Viipuri Province. - https://en.wikipedia.org/wiki/Simo_H%C3%A4yh%C3%A417 Dec 1920 - Kenneth Eugene Iverson, Canadian computer scientist noted for the development of the programming language APL. He was honored with the Turing Award in 1979 "for his pioneering effort in programming languages and mathematical notation resulting in what the computing field now knows as APL; for his contributions to the implementation of interactive systems, to educational uses of APL, and to programming language theory and practice". He was born in Camrose, Alberta - https://en.wikipedia.org/wiki/Kenneth_E._Iverson17 Dec 1929 - Jacqueline Hill, British actress known for her role as Barbara Wright in the BBC science-fiction television series Doctor Who. As the history teacher of Susan Foreman, the Doctor's granddaughter, Barbara was the first Doctor Who companion to appear on-screen in 1963, with Hill speaking the series' first words. She played the role for nearly two years, leaving the series in 1965 at the same time as fellow actor William Russell (who played the companion Ian Chesterton). Hill returned to Doctor Who in 1980 for an appearance in the serial Meglos, as the Tigellan priestess Lexa. She was born in Birmingham - https://en.wikipedia.org/wiki/Jacqueline_Hill17 Dec 1975 - Milica Bogdanovna "Milla" Jovovich, American actress, model, and musician. Her starring roles in numerous science fiction and action films led the music channel VH1 to deem her the "reigning queen of kick-butt" in 2006. In 2004, Forbes determined that she was the highest-paid model in the world. Jovovich gained attention for her role in the 1991 romance film Return to the Blue Lagoon, as she was then only 15. She was considered to have a breakthrough with her role in the 1997 French science-fiction film The Fifth Element, written and directed by Luc Besson. She and Besson married that year, but soon divorced. She starred as the heroine and martyr in Besson's The Messenger: The Story of Joan of Arc. Between 2002 and 2016, Jovovich portrayed Alice in the science fiction horror film franchise Resident Evil, which became the highest-grossing film series to be based on video games. She was born in Kiev, Ukrainian SSR - https://en.wikipedia.org/wiki/Milla_JovovichEvent of interest17 Dec 1903 – The Wright brothers make the first controlled powered, heavier-than-air flight in the Wright Flyer at Kitty Hawk, North Carolina. It flew about four miles (6.4 km) for four times. Today, the airplane is exhibited in the National Air and Space Museum in Washington D.C. The U.S. Smithsonian Institution describes the aircraft as "the first powered, heavier-than-air machine to achieve controlled, sustained flight with a pilot aboard. The flight of Flyer I marks the beginning of the "pioneer era" of aviation. - https://en.wikipedia.org/wiki/Wright_Flyer17 Dec 1957 – The United States successfully launches the first Atlas intercontinental ballistic missile at Cape Canaveral, Florida. The missile named (R&D) Atlas A 12A which was an SM-65A Atlas landed in the target area after a flight of 600 miles. This was the first Atlas with a functional guidance system.- https://en.wikipedia.org/wiki/SM-65_Atlas- https://en.wikipedia.org/wiki/SM-65A_Atlas- https://web.archive.org/web/20060204073649/http://www.geocities.com/atlas_missile/Chronology.html18 Dec 1971 – On Her Majesty's Secret Service, the sixth in the James Bond series was released, with its premiere at the Odeon Leicester Square in London. As On Her Majesty's Secret Service had been filmed in stereo, the first Bond film to use the technology, the Odeon had a new speaker system installed to benefit the new sounds. - https://en.wikipedia.org/wiki/On_Her_Majesty%27s_Secret_Service_(film)- https://www.mi6-hq.com/sections/movies/ohmss_premiere?id=04625IntroArtist – Goblins from MarsSong Title – Super Mario - Overworld Theme (GFM Trap Remix)Song Link - https://www.youtube.com/watch?v=-GNMe6kF0j0&index=4&list=PLHmTsVREU3Ar1AJWkimkl6Pux3R5PB-QJFollow us onFacebook- Page - https://www.facebook.com/NerdsAmalgamated/- Group - https://www.facebook.com/groups/440485136816406/Twitter - https://twitter.com/NAmalgamatedSpotify - https://open.spotify.com/show/6Nux69rftdBeeEXwD8GXrSiTunes - https://itunes.apple.com/au/podcast/top-shelf-nerds/id1347661094RSS - http://www.thatsnotcanonproductions.com/topshelfnerdspodcast?format=rssInstagram - https://www.instagram.com/nerds_amalgamated/General EnquiriesEmail - Nerds.Amalgamated@gmail.com

Chegou a edição nº 312 da BrazilJS Weekly! Mozilla e Creative Commons estão se unindo (e com um bom investimento de $100k) para tentar mudar mais uma vez o rumo da Web. Teremos uma internet sem ads no futuro? O lendário Richard Stallman deixou seus cargos na Free Software Foundation e no MIT CSAIL por […]

Chegou a edição nº 312 da BrazilJS Weekly! Mozilla e Creative Commons estão se unindo (e com um bom investimento de $100k) para tentar mudar mais uma vez o rumo da Web. Teremos uma internet sem ads no futuro? O lendário Richard Stallman deixou seus cargos na Free Software Foundation e no MIT CSAIL por […] Get full access to BrazilJS at www.braziljs.org/subscribe

Support these videos: http://pgbovine.net/support.htmhttp://pgbovine.net/PG-Vlog-367-mit-csail-visit.htmRecorded: 2019-09-10

Can we make databases faster and remove the need for caching reads in an external cache? Can we make a distributed SQL based relational database that outperforms memcached? Jon Gjengset and the PDOS team at MIT CSAIL have done just that with Noria. Today I talk to Jon about Noria, about building a database in rust and his efforts to teach people intermediate rust via live coding sessions. Jon was great to talk to. He really was able to explain to me how Noria is able to do what it does and where it is in terms of maturity. The key, besides Rust and evmaps, is that Noria uses materialized views to do query optimization ahead of time, on write. The devil is in the details though, of course. And the details, in this case, are turning declarative SQL into a dataflow program that handles cache updates on new writes. http://corecursive.com/030-rethinking-databases-with-jon-gjengset/ Show notes: Noria Project pdos group at MIT Noria Paper Noria Article Jon's Rust Streaming      

Jonathan Edwards is an independent researcher working on drastically simplifying programming for beginners. He is known for his Subtext series of programming language experiments and his Alarming Development blog. He has been a researcher at MIT CSAIL and CDG/HARC. He tweets @jonathoda.

Katherine Ye is a PhD student at CMU, where she works on representation, including programming languages, visualizations, notations, and interfaces to enable thinking and creating. She's been affiliated with MIT CSAIL, Princeton, Distill at Google Brain, and the Recurse Center. In this conversation we discuss Penrose, her project to _democraize visual intuition_. Katherine envisions "a magical machine where you can dump in a math textbook and out comes a fully-illustrated math textbook, or more specifically a platform where you can simply type mathematical notation in plain text and automatically get many useful and beautiful diagrams out illustrating the notation." It's a fascinating project in the intersection of mathematics, intuition, education, visualization, communication, programming, domain specific languages... basically, all of the interesting topics in one project. As you'd expect in a conversation about the edges of representation, this is a wide-ranging conversation that I can described by a collection of keywords that came up: embodied intuition code as rhetoric asemic language Colorless green ideas sleep furiously. univalence, homotopy, equivalence, equality modeling the notation of mathematics knot notation, dance notation, and the periodic table of juggling notation a studio class on notation design explorable explanations speculative nonfiction the unexpected futures next door Transcript provided by repl.it at https://futureofcoding.org/episodes/34#transcript

This week's Risk & Repeat podcast discusses the MIT CSAIL Securing the Enterprise conference and how experts there advocated for new strategies and approaches to infosec.

This week's Risk & Repeat podcast discusses the MIT CSAIL Securing the Enterprise conference and how experts there advocated for new strategies and approaches to infosec.

In this lecture, Professor Solar-Lezama from MIT CSAIL presents the concept of symbolic execution.

Andrew Lo, Charles E. and Susan T. Harris Professor at MIT Sloan School of Management, and Director of MIT Laboratory for Financial Engineering, shares insight into the collaborative research efforts of MIT CSAIL and MIT Sloan School of Management within the three distinct areas of crytopgraphy, machine learning and AI, as well as discusses the progress of blockchain technology and cryptocurrency. He also offers a glimpse into the future of banking and finance and reveals the emerging technology of secured multi-party computation.

参加节目互动评论有机会获得奖品哦~ 更多好笔记，请关注笔记侠微信公众账号（Notesman）粉丝互动QQ群255245325丹妮拉·鲁斯 (Daniela Rus) | 美国工程院院士，一手创办两个人工智能实验室，是全球最大的校园实验室——麻省理工学院计算机科学与人工智能实验室（MIT CSAIL）的掌门人。鲁斯开创的可编程物质和分布式机器人的研究让其成为人工智能领域地位最高的女性。活动：2016 年 9 月 23 日  2016TGPC 腾讯大学-国际公开课 笔记侠作为合作媒体  经主办方授权发布  活动现场照片来自  V.Photos。笔记侠（ID：Notesman）未来的机器人会帮我们做哪些工作？哪些工作，机器人永远也替代不了？人机协同最大的挑战在哪里？为什么说未来每个人都会有自己的机器人？为什么说AI技术的发展会把人类变成了“无用”的人？

参加节目互动评论有机会获得奖品哦~ 更多好笔记，请关注笔记侠微信公众账号（Notesman）粉丝互动QQ群255245325丹妮拉·鲁斯 (Daniela Rus) | 美国工程院院士，一手创办两个人工智能实验室，是全球最大的校园实验室——麻省理工学院计算机科学与人工智能实验室（MIT CSAIL）的掌门人。鲁斯开创的可编程物质和分布式机器人的研究让其成为人工智能领域地位最高的女性。活动：2016 年 9 月 23 日  2016TGPC 腾讯大学-国际公开课 笔记侠作为合作媒体  经主办方授权发布  活动现场照片来自  V.Photos。笔记侠（ID：Notesman）未来的机器人会帮我们做哪些工作？哪些工作，机器人永远也替代不了？人机协同最大的挑战在哪里？为什么说未来每个人都会有自己的机器人？为什么说AI技术的发展会把人类变成了“无用”的人？

MIT CSAIL professor Srini Devadas describes computer architecture, computer security and their intersection. He gives further insight into the conflict between ease of programming and performance and the communication between these threads through parallel software, such as message passing or shared memory abstraction (e.g. Google Docs).

En este segundo episodio con Miguel Paredes hablamos de su despedida del laboratorio de computación aplicada e inteligencia artificial en MIT (CSAIL) y su llegada a liderar la oficina de innovación con datos en una corporación Peruana. Además de hablar de ciencia de datos aplicada en corporaciones Miguel nos contó acerca de 2 proyectos muy interesantes que está trabajando en sectores como salud y transporte.