Podcasts about Computer science

Joe is joined by Dr Jim Buckley, Principal Investigator at Lero and a Professor in the Department of Computer Science & Information Systems at UL, to discuss the future of AI software code in academia.Image via Getty. Hosted on Acast. See acast.com/privacy for more information.

This episode is part of the DEI Symposium Series, developed from the DEI Symposium presented at the 2025 NCDA Global Career Development Conference in Atlanta, Georgia.Dr. Cheryl Love (UC Riverside) hosts Mount Holyoke College career development leaders Dr. Jaime Grillo and Meaghan Murphy-Rennie on strategies for implementing identity-driven career readiness programming. They outline Mount Holyoke's demographics and describe adding intentional identity components to three signature programs: a mentoring program where students choose matching by identity, industry, or skills; Sophomore Institute cohorts including LGBTQIA+ and BIPOC options plus identity/values sessions; and a required internship/research orientation with identity-based “community conversation” panels. They discuss campus and alumni impact, key challenges, and future plans.Dr. Jaime Grillo currently serves as the associate vice president for career readiness at Mount Holyoke College. Dr. Grillo joined Mount Holyoke in June 2023 as the executive director of the Career Development Center, leading a team of 16 professionals on career readiness and strategic initiatives. Building on 17+ years experience in career development, and higher education administration. Dr. Grillo earned her Ed.D. in Instructional Leadership in Higher Education from St. John's University. Her research focuses on student success and engagement, experiential learning, students' confidence, and post-graduation outcomes.Meaghan Murphy-Rennie serves as the Associate Director of External Relations & Career Specialist at Mount Holyoke College. She advises students and alums interested in Business, Finance & Consulting and/or Computer Science & Technology, and also works with alums on signature programming offered through the Career Development Center. These signature events include Sophomore Institute, the Career Connections Mentoring Program, and the Internships & Research Orientation, among others. She is also a member of the First Gen Network, which is a group of first generation staff and faculty members who work together to support the college's first generation and low income student population.Dr. Cheryl Love is a Career Counselor and a College Specialist for the Arts, Humanities, School of Education and School of Public Policy in the Career Center at the University of California, Riverside. In this role she also serves as the Liaison to the African Student Programs, the Black Student Success Initiative, Basic Needs, UCR Transfer Work Group, and the Kessler Scholar Program.

How do people become addicted to social media and what are the implications of such an addiction? [ dur: 30mins. ] Ofir Turel is Professor of Information Systems (IS) Management, IS group co-lead, University of Melbourne. He has published over 250 journal papers, two of those titles include The Benefits and Dangers of Enjoyment with Social Networking Websites and Followers Problematic Engagement with Influencers on Social Media and Attachment Theory Perspective. Most of our activity on the internet interacts with posts, memes and videos that are driven by algorithms. How might algorithms be biased, racist, or sexist, and how might they amplify those biases in us? [ dur: 28mins. ]  Full length of this interview can be found here. Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University. She is also a core faculty member at Northeastern’s Network Science Institute and the Institute for Experiential AI. She is the author of Measuring Algorithmically Infused Societies and What Science Can Do for Democracy: A Complexity Science Approach. Damien Patrick Williams is Assistant Professor in Philosophy and Data Science at the University of North Carolina at Charlotte. He is the author of Why AI Research Needs Disabled and Marginalized Perspectives, Fitting the description: historical and sociotechnical elements of facial recognition and anti-black surveillance, and Constructing Situated and Social Knowledge: Ethical, Sociological, and Phenomenological Factors in Technological Design. Damien is a member of the Project Advisory Committee for the Center for Democracy and Technology’s Project on Disability Rights and Algorithmic Fairness, Bias, and Discrimination, and the Disability Inclusion Fund’s Tech & Disability Stream Advisory Committee. Henning Schulzrinne is Professor in the Department of Computer Science at Colombia University. He is the co-author of Mobility Protocols and Handover Optimization: Design, Evaluation and Application, Bridging communications and the physical world and Future internets escape the simulator. He was nominated as Internet Hall of Fame Innovator in 2013. He was Chief Technology Officer for the FCC under the Obama Administration. This program is produced by Doug Becker, Ankine Aghassian, Maria Armoudian, Anna Lapin and Sudd Dongre. Politics and Activism, Science / Technology, Computers and Internet, Racism 

Chris Holman welcomes Dr. Scott Grasman – Dean, College of Engineering & Computer Science, Kettering University, Flint, MI. For those who aren't familiar with it yet, what is the GM Mobility Research Center, and why is it such a unique asset for Kettering and the auto industry? From a business and innovation standpoint, what kinds of real-world testing and use cases can companies and researchers support at the MRC? How does having a 24-hour, year-round testing facility on a college campus change the way applied mobility research gets done? What role does the MRC play in connecting faculty research with industry needs, especially in areas like autonomous vehicles, EVs, and AI? How does hands-on access to a facility like this better prepare students for careers in engineering and mobility-related industries? » Visit MBN website: www.michiganbusinessnetwork.com/ » Subscribe to MBN's YouTube: www.youtube.com/@MichiganbusinessnetworkMBN » Like MBN: www.facebook.com/mibiznetwork » Follow MBN: twitter.com/MIBizNetwork/ » MBN Instagram: www.instagram.com/mibiznetwork/

In this episode of Software People Stories, VR Govindarajan, aka Govi, the co-founder and executive chairman of Perfios Software, shares his comprehensive journey from the early days of his career to building successful startups. Govi dives deep into his academic background, industry experience, and the various startups he co-founded, including Aztec Soft and Perfios. He emphasizes the importance of technology-focused innovation, building a product company out of India, and navigating the challenges of operating in a regulated industry. Govi also shares his insights on the value of teamwork, culture, and maintaining a larger purpose beyond just making money. Throughout the conversation, he provides valuable lessons for aspiring entrepreneurs on raising funds, managing teams, and scaling businesses globally. 00:00 Introduction and Welcome00:35 Govi's Background and Career Journey01:43 Early Startups and Challenges02:48 Building Aztec Soft and Going Public03:10 Transition to Perfios and Product Focus06:18 Navigating the Dot-Com Bust08:18 Acquisitions and Selling to MindTree13:41 Importance of Team Effort17:34 Choosing the BFSI Sector20:39 Challenges in a Regulated Industry22:29 Managing B2B Sales and Integration24:26 Focusing on Product Development24:46 Creating a New Market Category25:06 Challenges of Evangelizing a New Product26:21 Leveraging Global Trends28:07 Expanding to International Markets34:25 Managing Code and Customizations36:54 Importance of Local Customer Support38:11 Leveraging AI and Data41:22 Advice for Aspiring Entrepreneurs44:51 The Importance of Culture and Values48:53 Conclusion and Final ThoughtsThe timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the sectionAs the Co-founder & Executive Chairman, Govi has been the driving force behind building Perfios into the Operating system for the BFSI in India and across the globe. Perfios is an acknowledged technology driven SaaS Pioneer that works across almost all financial institutions (Banking and Insurance Sector) both in India and across 18 countries in South East Asia, Middle East and North Africa. Perfios is a Unicorn and is backed by some of the best Global Investors. As a fintech Pioneer, Govi has been part of many committees in industry forums such as FICCI, CII and ASSOCHAM. He has been an active speaker at many BFSI related conferences and public institutions.He brings over 35 years of rich experience in the IT industry across the US and India. Before co-founding Perfios, Govi was the Co-founder, CTO, and Board Member at Aztecsoft, a pioneering force in the offshore product development space. From being a startup, Aztecsoft got listed in the Indian markets and was run as a public company before being sold to another Public company. Prior to starting Aztecsoft, he played a key role in advancing database technologies at global technology leaders such as Digital Equipment Corporation (DEC) and IBM.Govi holds an M.S. in Computer Science from the University of Massachusetts and a B.E. in Electrical and Electronics Engineering from the Indian Institute of Science, Bangalore. He may be reached at: govi@perfios.com

Currently a member of Head East, the longtime veteran of numerous bands and recording projects has carved out a fine music career, as well as a lengthy stint as a computer science teacher. From tribute bands to jazz ensembles and more, his engaging smile and boundless energy stand out. An enthusuastic and engaging conversation!

Advances in data interoperability, democratized cloud access, and responsible AI governance are reshaping what is possible in healthcare innovation. In this episode, host Sandy Vance welcomes Jim Ducharme, Chief Technology Officer of ClearDATA, to discuss each of these forces impacting healthcare, from improving care through connected data, to empowering teams with greater cloud access, to building the policies and controls required to govern AI responsibly.  Their conversation highlights the importance of secure, scalable infrastructure as healthcare organizations adopt AI and expand data sharing. Jim shares practical insights on balancing innovation with risk management, building trust in cloud environments, and establishing governance frameworks that support compliance. In this episode, they talk about: ClearDATA's vision and the organizations they serve Technologies and solutions designed to protect sensitive patient data Understanding the financial and operational risks of cloud security failures How cloud democratization is making advanced technology more accessible The role of a secure cloud baseline in healthcare innovation Best practices for governance in data sharing and interoperability The relationship between AI and data trustworthiness How organizations can safely adopt and scale emerging AI capabilities A Little About Jim: Jim leads ClearDATA's Engineering, Product Management, and IT teams. He has more than 25 years of experience leading product organizations in the identity, integrated risk, and fraud management markets. Prior to joining ClearDATA, Jim served as Chief Operating Officer of Outseer, an RSA Company, where he served over 10 years in executive leadership roles. Prior to RSA in 2012, he served in executive leadership roles for Aveksa, CA, and Netegrity. Ducharme frequently speaks at industry events and regularly contributes articles to trade publications. Jim also holds several patents and a Bachelor of Science in Computer Science degree from the University of New Hampshire. He and his wife live in Maine in their dream log home, which was featured in Log and Timber Home Living magazine.

Jens Gustedt, author of Modern C, senior scientist at the French National Institute for Computer Science and Control (INRIA), deputy director of the ICube lab, and former co-editor of the ISO C standard, speaks with SE Radio host Gavin Henry about the past 5 years in C, C2Y, and C23. They discuss what has happened in the C world since we last spoke 5 years ago, including how the latest C standard is going and what to expect. Jens discusses how the latest changes in the Modern C book apply to you, how a C transition header can help you get up to C23 if you're not there already, and presents a comprehensive approach for program failure. This episode explores C2Y, C23, bit-precise types, stdckdint.h, stdbit.h, 128 bit types, enumeration types, nullptr, Syntactic annotations, auto and typeof keywords, if let, as well as what's being added and removed in C2Y (possibly called "C28"), and Gustedt's four categories of program failure. Brought to you by IEEE Computer Society and IEEE Software magazine.

In this conversation, Laura and Dr. Brandeis Marshall explore the concept of responsible AI and the critical need to reframe our understanding of it. Dr. Marshall's insights shed light on how leaders and everyday users can navigate this complex terrain with a focus on ethics and responsibility.  Key takeaways from this discussion include the importance of informed leadership, mindful AI usage, and the power of community support in driving responsible AI initiatives. Whether you're overseeing AI in your organization or using it personally, this conversation will reshape how you approach AI ethically, legally, and practically.   About Dr. Marshall Brandeis Marshall is founder and CEO of DataedX Group™, a data & AI governance consulting agency. Formerly a college professor, she speaks, writes, teaches and consults on how to move slower and build better people-first tech. Dr. Marshall helps cross-functional teams close gaps amongst data strategy, human decision-making competencies and AI adoption activities. She guides them in effectively executing responsible AI and data tactics and implementations. She also founded Black Women in Data in 2020 to broaden awareness, support and retain senior-level Black women whose expertise intersect with the data industry.  Dr. Marshall is the author of Data Conscience: Algorithmic Siege on our Humanity (Wiley, 2022), co-editor of Mitigating Bias in Machine Learning (McGraw-Hill, 2024) and contributing author in The Black Agenda (Macmillan, 2022). She holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester. Dr. Marshall recently obtained her EMBA from Quantic School of Business and Technology.   Connect with Dr. Marshall Website: https://dataedx.com/ LInkedIn: http://www.linkedin.com/in/brandeis-marshall   BWL Resources: Join us at the 2026 Black Woman Leading LIVE! Conference & Retreat.  May 11-14, 2026 in Myrtle Beach, SC.  Save your seat at www.BWLretreat.com Full podcast episodes are now on Youtube.  Subscribe to the BWL channel today! Check out the BWL theme song here: https://www.youtube.com/watch?v=l68EqEJjXq0  Check out the BWL line dance tutorial here: https://www.youtube.com/watch?v=Eui89AmJwUg  Download the free Black Woman Leading Career Reset Kit - https://blackwomanleading.com/career-reset-kit/   Credits: Learn about all Black Woman Leading® programs, resources, and events at www.blackwomanleading.com Learn more about our consulting work with organizations at https://knightsconsultinggroup.com/ Email Laura: info@knightsconsultinggroup.com  Connect with Laura on LinkedIn: https://www.linkedin.com/in/lauraeknights/  Follow BWL on LinkedIn: https://www.linkedin.com/showcase/blackwomanleading  Instagram: @blackwomanleading Facebook: @blackwomanleading Youtube: @blackwomanleading  Podcast Music & Production: Marshall Knights - https://marshallknights.com/  Graphics: Dara Adams Listen and follow the podcast on all major platforms: Apple Podcasts  Spotify Stitcher iHeartRadio Audible Podbay  

Dr. Jackie Cheung is an Associate Professor at McGill University where he co-directs the Reasoning and Learning Lab. He is also an Associate Scientific Director at Mila-Quebec Artificial Intelligence Institute. He and his team are developing computational models to improve the reliability, pragmatics, and evaluation of large language models to ensure they are contextually appropriate and factually grounded.Jackie was worked as a consultant researcher with Microsoft Research and before his current appointments, he earned his PhD and MSc in Computer Science from the University of Toronto, focusing on computational linguistics, and his BSc from the University of British Columbia.00:00:00 Highlight & Introduction00:02:04 Entrypoint in AI & NLP00:04:47 Academia vs. Industry: Career choices00:09:48 Language Revitalization using AI00:12:24 Addressing Biases & Data sovereignty in language revitalization 00:15:49 Evaluating LLMs as Judges00:17:14 Validity and reliability in LLM evaluation 00:25:11 Evidence-centered benchmark design (ECBD) framework00:30:38 Gaps in LLM benchmarks and meaning of "general purpose" AI00:35:24 General purpose intelligence vs reasoning00:40:16 Safety as an undefined bundle in LLMs00:51:45 Stochastic chameleons: how LLMs generalize and hallucinate 01:03:02 Potential & Biases of agentic frameworks for research01:05:52 Evaluating LLMs for summarization01:11:43 Scaling large language models01:16:33 Advice to beginners entering AI in 202601:20:33 Pitfalls to avoid in AI research & development More about Jackie & his research: https://www.cs.mcgill.ca/~jcheung/About the Host:Jay is a Machine Learning Engineer III at PathAI working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

Deepfake voice technology is rapidly advancing, but how well do current detection systems handle differences in language and writing style? Most existing work focuses on robustness to acoustic variations such as background noise or compression, while largely overlooking how linguistic variation shapes both deepfake generation and detection. Yet language matters: psycholinguistic features such as sentence structure, complexity, and word choice influence how models synthesize speech, which in turn affects how detectors score and flag audio. In this talk,  we will ask questions such as: "If we change the way a person writes, while keeping their voice the same, will a deepfake detector still reach the same decision?" and "Are some text-to-speech and voice cloning models more vulnerable to shifts in writing style than others?" We will then discuss implications for designing robust deepfake voice detectors and for advancing more trustworthy speech AI in an era of increasingly synthetic media. About the speaker:  Thai Le is an Assistant Professor of Computer Science at the Indiana University's Luddy School of Informatics, Computing, and Engineering. He obtained his doctoral degree from the college of Information Science and Technology at the Pennsylvania State University with an Excellent Research Award and a DAAD Fellowship. His research focuses on the trustworthiness of AI/ML models, with a mission to enhance the robustness, safety, and transparency of AI technology in various sociotechnical contexts. Le has published nearly 50 peer-reviewed research works with two best paper presentation awards. He is a pioneer in collecting and investigating so-called text perturbations in the wild, which has been utilized by users and researchers worldwide to study and understand effects of humans' adversarial behaviors on their daily usage with AI/ML models. His works have also been featured in ScienceDaily, DefenseOne, and Engineering and Technology Magazine.

According to the National Student Clearinghouse Research Center, the number of students enrolling in computer and information science decreased this past fall from the year before. That's at both the graduate and undergraduate level and the first drop since 2020. Meanwhile, the Computing Research Association says there's been a decline in a number of computing-related majors. Marketplace's Stephanie Hughes spoke with Kari George, Senior Research Associate at the CRA's Center for Evaluating the Research Pipeline to learn more.

According to the National Student Clearinghouse Research Center, the number of students enrolling in computer and information science decreased this past fall from the year before. That's at both the graduate and undergraduate level and the first drop since 2020. Meanwhile, the Computing Research Association says there's been a decline in a number of computing-related majors. Marketplace's Stephanie Hughes spoke with Kari George, Senior Research Associate at the CRA's Center for Evaluating the Research Pipeline to learn more.

Dawn Song, Professor of Computer Science at UC Berkeley, joins Ann on this week's episode of Afternoon Cyber Tea to explore how AI is rapidly reshaping the threat landscape. Dawn shares research from projects like Cyber Gym, demonstrating how frontier AI models are increasingly capable of identifying vulnerabilities, including zero-day exploits and generating proof-of-concept attacks, while also helping defenders automate patching and strengthen resilience.   The conversation examines adversarial AI, agentic systems, data privacy risks, and the need for science and evidence-based AI policy. Dawn closes with an optimistic vision for the future: using AI-driven formal verification to build provably secure systems and move beyond the traditional cat-and-mouse security model.  Resources:  View Dawn Song on LinkedIn    View Ann Johnson on LinkedIn   Related Microsoft Podcasts:   Microsoft Threat Intelligence Podcast   The BlueHat Podcast    Uncovering Hidden Risks           Discover and follow other Microsoft podcasts at microsoft.com/podcasts         Afternoon Cyber Tea with Ann Johnson is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.  

This edWeb podcast is sponsored by Project Lead The Way.The edLeader Panel recording can be accessed here.When students think about medical careers, “nurse” or “doctor” is often at the top of the list. But today's biomedical landscape is far more expansive, spanning fields like biomedical engineering, laboratory sciences, data and health informatics, research, and technology innovation.This edWeb podcast explores how K–12 schools can spark student interest in the full spectrum of biomedical careers through interdisciplinary learning, authentic experiences, and strategic pathway design. We dive into practical strategies for:Expanding student awareness of biomedical careers beyond traditional clinical rolesIntegrating biomedical science with computer science and engineering and other Career and Technical Education (CTE) pathways to reflect real-world innovationLeveraging professional industry certification and licenses as well as other assets to connect learning to meaningful opportunitiesBuilding pathways that start before high school, sustaining student engagement across grade levelsHighlighting college credit and postsecondary opportunities that give students a strong head startBy the end of this session, listeners are able to:Identify a range of biomedical career pathways beyond nursing and clinical roles that are relevant to K–12 students and design and adapt strategies to engage students in these pathwaysExplain how integrating biomedical science with computer science and engineering strengthens student learning and career readinessBuild and strengthen postsecondary and workforce opportunities to enhance K–12 learning pathways, and identify how industry-recognized credentials and college credit options can enhance pathwaysThis edWeb podcast is of interest to K–12 teachers, CTE coordinators, school leaders, and district leaders.Project Lead The WayEmpower Students to Thrive in an Evolving WorldDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Learn more about viewing live edWeb presentations and on-demand recordings, earning CE certificates, and using accessibility features.

It's episode 226 and time for us to talk about our 2026 Reading Resolutions! We discuss reading books, not reading books, quitting reading books, throwing books in the garbage, and more! Plus: Oh no, the passage of time! You can download the podcast directly, find it on Libsyn, or get it through Apple Podcasts or your favourite podcast delivery system. In this episode Anna Ferri | Meghan Whyte | Matthew Murray

The blood-brain barrier is a tightly locked network of cells that protects and defends the brain from harmful substances and pathogens that could cause damage. While this barrier serves to protect our brains, in the case of finding cures for Alzheimer's and Parkinson's, the blood-brain barrier has been a big obstacle.  Enter research from Shikha Nangia, the Milton and Anne Stevenson endowed professor of biomedical and chemical engineering and department chair in the College of Engineering and Computer Science. Working with undergraduate, graduate and post-doctoral students, the Nangia Research Lab uses theoretical and computational techniques to determine how to best enable the transport of drug molecules across the blood-brain barrier. Nangia's research led to the creation of the first molecular model depicting what the blood-brain barrier looks like, which has proven helpful in identifying what can and what cannot pass through the narrow tunnel into the brain.Understanding that Alzheimer's and cancer treatments are too large to pass through the blood-brain tunnel, Nangia's group is advancing research to find a cure for Alzheimer's and Parkinson's diseases. On this episode, Nangia will explain the findings of her research, share how students help advance this work, discuss how the Interactive Biomaterials Research Experiences for Undergraduates site on campus prepares participants for successful careers in science and engineering, and explores her role as a Syracuse University Art Museum faculty fellow.

This and all episodes at: https://aiandyou.net/ . One of the great wounds people are experiencing around AI is in creativity. Look at the writers' and actors' strikes, for example. I continue talking about this very sensitive subject with Maya Ackerman, author of the new book Creative Machines: AI, Art, and Us, which tackles it head on, full of emotion, vulnerability, and poetry.  Maya is the CEO and co-founder of Wave AI, and professor of Computer Science at Santa Clara University. She completed postdoctoral fellowships at Caltech and UC San Diego, and has authored over 50 peer-reviewed publications. She was named a Woman of Influence by the Silicon Valley Business Journal and her work has been featured in Forbes, NPR, Fortune, and NBC News. She is also a singer, pianist, and songwriter. We talk about experiments in machine creativity, the distinction between creative processes and creative products and the role of the observer in the creative experience, how bias against AI shows up, and how AI that's constructed around compassion and ethical stewardship could support deeper human flourishing in the next few years. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

The Pentagon is pushing AI companies to allow the U.S. military to use their technology for “all lawful purposes,” but Anthropic is pushing back, according to a new report in Axios. The government is reportedly making the same demand to OpenAI, Google, and xAI. Also, college students are losing some interest in computer science broadly but gaining interest in AI-specific majors and courses. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We explore how real decisions start in the primal brain and how neuromarketing turns that insight into practical steps to capture, convince, and close. Patrick Rénvoisé shares the six stimuli, the Neuromap method, and how to sell with contrast, proof, and story in a world shaped by AI and deepfakes.• defining neuromarketing and the brain's buy button• six stimuli that drive attention and action• the four steps: diagnose, differentiate, demonstrate, deliver• financial, strategic and personal value with proofs• visuals, props and seven‑second stories• memory design: strong openings and endings• good friction early, ease at decision• AI agents, deepfakes and trust building• examples from Apple and service guarantees• website first view: show the pain and the reliefEver wonder why a rock‑solid value prop still gets a lukewarm yes? We go straight to the source—the brain—and unpack how decisions really happen. Patrick Rénvoise, co‑founder of SalesBrain (and architect of the award‑winning Neuromap) joins us to break down the biological buy button and the exact steps to reach it without gimmicks or hype.We dig into the six primal stimuli that cut through noise—personal, contrastable, tangible, memorable, visual, emotional—and show how to turn them into actions your team can use today. Patrick walks us through a four‑step persuasion method: diagnose the pain your buyer actually feels, differentiate with an “only” claim, demonstrate the gain with numbers and risk‑reversal, and deliver the story that the primal brain can grasp in seven seconds. Along the way, we map value into three buckets—financial, strategic, and personal—and pair each with the right proof, from customer cases to demonstrations that make promises real.The conversation stretches beyond tactics. We examine mirror neurons and authentic empathy in sales, why fairness can override economic sense in negotiations, and how to design “good friction” that encodes memory before you remove barriers to buy. We also confront the agentic AI era and deepfakes: if seeing isn't believing and algorithms don't feel, how do we build trust and make messages stick? Expect concrete examples, from Domino's guarantees to Apple's evolving story, plus website advice you can deploy immediately—lead with pain and the contrast of relief so your offer lands fast.Patrick Renvoise: https://www.linkedin.com/in/patrickrenvoise/Patrick Renvoisé, the Co-Founder and Chief Neuromarketing Officer of SalesBrain, the world's first neuromarketing agency. Having trained over 200,000 executives worldwide, Patrick helps companies scientifically capture, convince, and close more business by targeting the true decision-maker: the brain.  Patrick is the architect of the NeuroMap™, an award-winning model of persuasion based on the "Primal Brain" (or System 1) discovered by Nobel Laureate Daniel Kahneman. Before pioneering the field of Neuromarketing, he managed multi-million dollar supercomputer transactions at Silicon Graphics and LinuxCare, closing complex deals in excess of $100 million. Patrick holds a Master's in Computer Science from the National Institute of Applied Sciences in Lyon.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

Thank you to our sponsors! Figure Crypto Tax Girl Are bitcoiners underestimating the quantum threat to Bitcoin? That's the question Castle Island Ventures Partner Nic Carter has posed with some recent posts gauging the views of several leading Bitcoin developers on quantum computing. To help answer the question, Unchained reached out to Ethereum Foundation Researcher Justin Drake and Michigan University Professor Chris Peikert. In this episode, Justin and Chris, who is one of the foremost experts on lattice cryptography, break down the quantum computing threat to crypto and the potential timelines. Justin theorizes that Bitcoin developers may not be incentivized to talk about the quantum computing risk while still saying that a number of smart people are already taking it seriously and that may be enough. Conversely, Chris highlights the constraints that come with uncertainty around risks and timelines. Listen to find out what they conclude. Plus, could AI do crypto in before quantum computers? Guests: Justin Drake, Researcher at the Ethereum Foundation Chris Peikert, Professor, Computer Science and Engineering, University of Michigan Links: Ethereum and Optimism Lay the Groundwork for a Post-Quantum Future Q-Day Is Imminent. Can Bitcoin Survive the Quantum Threat? Solana Deploys Post-Quantum Signatures on Testnet Cracking Bitcoin Encryption Is Getting Much Easier, Google Says Learn more about your ad choices. Visit megaphone.fm/adchoices

Jeremy Nixon is a prominent AI researcher, entrepreneur, and the co-founder of AGI House, a leading "hacker house" community for artificial intelligence developers in Silicon Valley. He studied Applied Math, Computer Science, and Economics at Harvard and was previously a researcher at Google Brain.This footage was shot for a documentary project, "Dreamers and Doomers," about the SF Bay Area and the dawn of AGI.(00:00) - Dreamers and Doomers: Jeremy Nixon at AGI House – #105 (01:47) - Introduction and Welcome (05:56) - Jeremy Nixon's biography (08:48) - AGI House and collectives (43:59) - AI and Scientific Research (45:52) - Existential Risks and Doom (54:14) - AI and Human Progress (01:26:42) - Job Automation and Society (01:31:35) - Future of AI and Technology –Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq's CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.Key Moments:Why Nasdaq Is More Than a Stock Exchange (06:10): Angie reframes Nasdaq as a global technology company rather than a traditional exchange, explaining how data, platforms, and engineering underpin trust, resilience, and transparency across public and private markets.The Scale of Market Data Powering the Global Financial System (11:15): Angie breaks down the massive scale of Nasdaq's data ecosystem, including hundreds of billions of market messages per day and platforms supporting more than $90 trillion in assets. She explains how data quality and reliability are foundational to market integrity and decision-making.Building a Unified Data Intelligence Platform at Nasdaq (16:35): Angie explains how Nasdaq approaches data architecture, governance, and platform design to create a unified data intelligence layer. She shares why access control, operational efficiency, and data trust matter more than raw data volume when enabling analytics and AI at scale.The AI-Ready Playbook for Data and AI Leaders (19:20): Drawing on her experience across startups and large enterprises, Angie outlines a practical framework for data and AI transformation. She emphasizes cloud adoption, breaking down silos, listening to business needs, and treating platform modernization as both a technical and organizational challenge.Is AI a Bubble? Using Market Data to Separate Hype from Reality (31:00): Angie applies a data-driven lens to the AI bubble debate, examining earnings growth, margins, return on equity, and capital investment. She explains why current financial indicators suggest today's AI moment differs fundamentally from past technology bubbles.Key Quotes:“ The foundation of any data strategy is actually cloud… If you don't put the data or the actual system in the cloud, it's much harder in terms of services and platform, let alone AI.” - Angie Ruan“Data is great, but the more important [thing]... is how we put it all together.” - Angie Ruan“ The world is going to change so fast… Being curious [and] continuing to learn, it is so important.” - Angie RuanMentionsInside the Invitation-Only Stock Market for the WealthyNasdaq eVestment: The Institutional Intelligence Platform Powering $90T+ in DecisionsGuest Bio Angie Ruan is the Chief Technology Officer, Capital Access Platforms at Nasdaq. An award-winning industry leader, Ms. Ruan holds four technical patents and has been instrumental in driving digital transformation across many industries, including enterprise application, e-commerce, payment, and capital markets. She most recently served as Vice President of Engineering at Chime before returning to Nasdaq where she was the Senior Vice President of Global Technology, responsible for overseeing the development of Key Market Technology Products and Corporate Platforms. Prior to joining Nasdaq, Ms. Ruan served as the Global Group Technology Vice President of consumer experiences and platform for American Express, where she was responsible for the digital transformation of American Express web and mobile technology. Before then, she was the Unit CIO for U.S. Consumer and U.S. Small Business, and was also Head of Engineering for Global PayPal Retail and Merchant product lines. As well, she held various executive engineering leadership roles at eBay including building the eBay messaging system, creating the eBay mobile platform, and transforming the DevOps organization.Recognized as one of Silicon Valley's Women of Influence, Ms. Ruan holds an M.S. in Computer Science from the University of California, Santa Barbara, and studied undergraduate in Computer Science at Tsinghua University of China. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Kapil Gupta, former Enterprise AI Product & Platform Leader at Cigna, shares insights from more than two decades of turning cutting-edge technology into enterprise-ready products. He unpacks the difference between generative AI and agentic AI, and why governance, user choice, and thoughtful design matter just as much as innovation. Learn how enterprises can scale responsibly and why the best technology often feels invisible to the people using it. Key Takeaways:  The tangible difference between generative AI and agent-based workflows Why adoption depends on fitting into existing workflows, rather than forcing behavior change The challenge of legacy systems and disconnected data How companies can innovate quickly without introducing unnecessary risk How pushing back, probing, and questioning AI can unlock more value Why listening to users matters more than building flashy features Guest Bio: Kapil Gupta is an executive product leader specializing in leveraging emerging technologies to solve complex business problems at scale. As a leader of AI product and platform teams at Cigna and previously at industry leaders like Capital One, Deloitte, and IBM, he has turned breakthrough innovations like Generative AI into practical enterprise solutions.  Kapil is driven by a focus on crafting AI-driven product experiences that solve real problems and ensure high adoption, bridging the gap between sophisticated technology and business value. He balances high-level strategic vision with a passion for staying hands-on, often vibe coding prototypes to prove out new concepts. Kapil holds an MS in Computer Science and an MBA from NYU Stern. He shares his work at kapilgupta.me and lives in New York. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte

The rise of Industry 4.0 has transformed manufacturing through the integration of cyber-physical systems, connectivity, and real-time data exchange into increasingly automated and intelligent platforms. While these advances improve productivity and efficiency, they also introduce vulnerabilities to cyber-physical attacks that can degrade product quality, damage equipment, and pose safety risks. Effective detection depends on understanding which data sources and levels of granularity provide sufficient visibility for accurate anomaly detection and attack identification. Replicated environments, such as digital twins (DTs), help address the challenges of collecting high-fidelity data and executing complex attack scenarios in live production systems.This talk presents an AI-assisted framework for detecting cyber-physical attacks in smart manufacturing using real machine experimentation complemented by DT–based replication. The framework evaluates multiple data sources, ranging from high-level operational data to low-level control and side-channel signals, to understand how data fidelity and context influence detection performance. A hardware-in-the-loop (HIL) DT is used to replicate machine behavior, safely execute attacks, and enable controlled experimentation that would be impractical in live production environments.Through experiments on a real CNC machining system and its corresponding HIL-based DT, multiple cyber-physical attack scenarios are evaluated using statistical, machine learning, and deep learning-based detection methods. Results demonstrate that detection effectiveness is highly dependent on attack type and data granularity, highlighting the need for domain-aware, multi-source monitoring strategies. The framework is further extended to additive manufacturing, illustrating how insights derived from CNC systems can guide attack detection in related manufacturing domains.Overall, this work demonstrates how combining AI-based detection with real-world experimentation and DT technologies enables more robust and practical security analysis for cyber-physical manufacturing systems. About the speaker: Dr. Bethanie Williams is an R&D, S&E Cybersecurity Engineer at Sandia National Laboratories, where she specializes in applying artificial intelligence (AI) to enhance the security and resilience of cyber-physical systems in critical infrastructure, including power grid systems, healthcare facilities, and advanced manufacturing. She is also actively involved in the Cybersecurity Manufacturing Innovation Institute (CyManII) through her work at Sandia. Bethanie earned her Bachelor of Arts degree as a triple major in Mathematics, Spanish, and Computer Science from Berea College in 2020. During her time at Berea, she was a Bonner Scholar and a member of the women's basketball team, earning All-American honors for her athletic achievements. She completed her Master of Science in Computer Science with a concentration in Cybersecurity at Tennessee Technological University in 2022, under the supervision of Dr. Ambareen Siraj, and earned her Ph.D. in Engineering with a major in Computer Science in 2025 under the guidance of Dr. Muhammad Ismail. Her dissertation, titled "Multi-Source Data Analysis and an Effective AI-Assisted Detection Framework for Cyber-Physical Attacks in Smart Manufacturing," focused on leveraging AI-driven approaches and analyzing various data sources to detect and mitigate cyber-physical attacks in manufacturing systems. Throughout her graduate studies, Bethanie received the College of Engineering Distinguished Fellowship and the National Science Foundation (NSF) Scholarship for Service (SFS). She was a year-round intern at Sandia National Laboratories as part of the Center for Cyber Defenders (CCD) program, where she contributed to national research initiatives under CyManII. Bethanie held several executive leadership roles at Tennessee Tech, including Vice President of Cyber Eagles and Graduate Student Club. She also served as a Ph.D. advisor for Women in Cybersecurity (WiCyS). Through these roles, she actively mentored students, organized outreach events, and fostered a supportive community for women in cybersecurity. Bethanie's current research interests include cyber-physical security, modeling and simulation of industrial control systems, and leveraging AI for advanced manufacturing. As an Early Career R&D, S&E Cybersecurity Engineer at Sandia, she is committed to bridging academic innovation and national security applications to protect critical infrastructure and ensure its resilience.

Why should we still be planting churches—and what should church planting look like in a rapidly changing world? In this episode, Loren is joined by Len Tang, Director of the Church Planting Initiative at Fuller Seminary, for a wide-ranging conversation about mission, formation, and the future of church planting. Drawing on his experience planting churches and training planters across diverse contexts, Len reframes church planting as a normal part of the church's life cycle—one that includes birth, growth, reproduction, and sometimes faithful endings. The conversation explores why growth alone is an inadequate metric, how global migration is reshaping mission fields, and why new expressions of church must be deeply contextual, diverse, and disciple-centered. Loren and Len also discuss the emotional and spiritual realities of church planting: grief, resilience, failure, and the importance of practices like Sabbath, lament, and community support. Rather than treating church planting as a silver bullet, the episode makes the case for forming leaders with character, humility, and a deep grounding in the way of Jesus. This is a thoughtful conversation for pastors, planters, denominational leaders, and anyone discerning how the church can participate faithfully in God's mission today. Topics Include Why church planting is a normal—and finite—part of church life Growth, reproduction, and the reality of church endings Global migration and new mission fields close to home Moving beyond one-size-fits-all planting models Bivocational ministry, social entrepreneurship, and sustainability Character over charisma in church planting leadership Grief, failure, and resilience in ministry Discipleship as the true measure of fruitfulness   Len Tang is the Director of the Church Planting Initiative at Fuller Seminary, and has planted two churches: Cedar Creek Church in Sherwood, Oregon, and Missio Community Church in Pasadena, CA. He received a B.S. in Electrical Engineering and Computer Science from UC Berkeley and an MDiv from Fuller Seminary. He is married to Amy and they have three young adult boys, a cat, and an electric motorcycle.   Mentioned Resources:

For all that human beings spend a lot of their time thinking, it's far from obvious what that process actually entails. Part of it amounts to classical logical reasoning. But an even bigger part involves reasoning with probability and uncertainty. And some of it is governed by unavoidable limitations on time and accuracy. Psychologist and computer scientist Tom Griffiths suggests that we have thought about it enough to feel that we have come to understand some general principles, which he explains in his new book The Laws of Thought: The Quest for a Mathematical Theory of Mind. Take your personal data back with Incogni! Use code MINDSCAPE at this link and get 60% off an annual plan: https://incogni.com/mindscape #sponsore Blog post with transcript: https://www.preposterousuniverse.com/podcast/2026/02/09/343-tom-griffiths-on-the-laws-of-thought/ Support Mindscape on Patreon. Tom Griffiths received his Ph.D. in psychology from Stanford University. He is currently Professor of Psychology and Computer Science at Princeton University, Director of the Computational Cognitive Science Lab, and Director of the Princeton Laboratory for Artificial Intelligence. He is the co-author of Algorithms to Live By: The Computer Science of Human Decisions, as well as the upcoming The Rational Use of Cognitive Resources. Web site Princeton web page Google Scholar publications Wikipedia

Send us a textSaili Gosula is the owner and Executive Director of Active In-Home Therapy.  Until recently, she ran both Active In-Home Therapy and SYNERGY HomeCare.  Saili has a Master's Degree in Computer Science, and was the Director of Inventory Systems at Gap, Inc at her last corporate job.  After a successful 20+ year in Corporate IT, Saili decided to start her own business and work full-time in a job that she could be passionate about from beginning to end.  Always an avid volunteer in the schools and local non-profits, focusing on people and the community became more important to her, and she made a radical career switch.  She ran her home care agency for 12 years, where she got to help others, be involved in the community, and create jobs.  Her two companies together provided a spectrum of services focused on keeping the elderly happy, healthy and safe at home – caregiving, physical therapy, massage therapy, and more. Saili differentiates herself by her tirelessly giving and positive approach.  This has quickly grown her businesses and provided her with many loyal fans and followers, across clients, associates, and employees. | I am a very active person, and know that staying active is good not only for your body, but also for your entire outlook in life.  There is a gap between what is needed and beneficial and what insurance will cover.  We fill that gap.  We help people reach their potential. |Active In-Home Therapy | www.activeinhometherapy.com saili@activeinhometherapy.com | 650-530-2072Sign up for one of our negotiation courses at ShikinaNegotiationAcademy.comThanks for listening to Negotiation with Alice! Please subscribe and connect with us on LinkedIn and Instagram!

This and all episodes at: https://aiandyou.net/ . One of the great wounds people are experiencing around AI is in creativity. Look at the writers' and actors' strikes, for example. Here to talk about this very sensitive subject is Maya Ackerman, author of the new book Creative Machines: AI, Art, and US, which tackles it head on, full of emotion, vulnerability, and poetry.  Maya is the CEO and co-founder of Wave AI, and professor of Computer Science at Santa Clara University. She completed postdoctoral fellowships at Caltech and UC San Diego, and has authored over 50 peer-reviewed publications. She was named a Woman of Influence by the Silicon Valley Business Journal and her work has been featured in Forbes, NPR, Fortune, and NBC News. She is also a singer, pianist, and songwriter. We talk about how Maya's interdisciplinary backgrounds of machine learning and computational creativity converged in her book, what Maya calls “humble creative machines”: AI collaborators and how they can uplift us, her concept of a co-creative spectrum where humans are served by AI assisting us in being more creative, and – opera singing. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

On today's show, we hear about a Fort Smith church partnering with a national nonprofit to erase more than $17 million in medical debt in Crawford and Sebastian counties. Plus, a Pryor Center profile of an Arkansan running for President. We also learn about a contest for high schoolers looking to improve their programming skills.

About my guestsDr. Suzanne L. Weekes, Ph.D., is Chief Executive Officer of the Society for Industrial and Applied Mathematics (SIAM) and Professor Emerita of Worcester Polytechnic Institute.She leads SIAM, an international professional society dedicated to advancing applied mathematics and computational science — the tools that power innovation in data science, engineering, technology, and scientific discovery. SIAM supports educators, students, researchers, and industry professionals through conferences, publications, and programs that connect mathematical thinking to real-world challenges. Dr. Weekes earned her Ph.D. in mathematics and scientific computing from the University of Michigan.Before becoming SIAM's CEO in 2021, she spent more than two decades on the faculty at Worcester Polytechnic Institute, where she held multiple academic leadership roles. She is a Fellow of the Association for Women in Mathematics and a recipient of the Mathematical Association of America'sDeborah and Franklin Tepper Haimo Award for Distinguished College or University Teaching. She has also received national recognition for excellence in mentoring and for leading programs that broaden participation and expand career pathways in the mathematical sciences.Dr. Christopher Musco is an Associate Professor of Computer Science at New York University. He joined NYU after completing his Ph.D. in computer science at MIT. His research focuses on applying mathematics to the design and analysis of efficient randomized algorithms for problems across computational science, data science, and machine learning. His work has been funded by the US Department of Energy and the National Science Foundation, including an NSF Early Career Award. In addition to research, Prof. Musco teaches courses at NYU in algorithms and machine learning.  Prof. Musco competed in the SIAM M3 Challenge in 2008 as a high school student. His team made it to the final event in NYC and received an honorable mention. Participating in the Challenge was a formativeexperience, inspiring Prof. Musco to major in applied math as an undergrad and influencing his path into research. After finishing his Ph.D., he reconnected with the M3 Challenge team in 2018 and volunteered, first as a judge, and most recently as a member of the Problem Development Committee and Lead Technical Computing Judge. About the M3 ChallengeMathWorks Math Modeling Challenge is an entirely internet-based math modeling competition with no registration or participation fees. High schools and sixth-form schools in the U.S., England, and Wales are eligible to enter teams of 3-5 students. Register your team by February 20, 2026. $100,000 in scholarships is available this year! Learn more at https://m3challenge.siam.org/.Modeling Resources for Students (https://m3challenge.siam.org/resources/)Free MATLAB licenses (https://m3challenge.siam.org/learn-technical-computing/)Practice problems (https://m3challenge.siam.org/resources/sample-problems/)Math modeling handbooks (https://m3challenge.siam.org/what-is-math-modeling/modeling-handbooks/)Webinars (https://m3challenge.siam.org/resources/2026-webinars/)Videos (https://www.youtube.com/playlist?list=PL0C3D55F2E8B6A33B)Modeling Resources for EducatorsGAIMME Report (Guidelines for Assessment and Instruction in Mathematical Modeling Education) https://www.siam.org/publications/reports/guidelines-for-assessment-and-instruction-in-mathematical-modeling-education/Teaching Math Modeling Video Series (https://www.youtube.com/watch?v=kobCknsU_Co&list=PLf_ipOSbWC86v1GZY94CmszMFCBdxGtDA) . About RachelleEducator, AI Strategist, Keynote Speaker, Consultant, Attorney, & AuthorSubscribe to my ⁠newsletter. bit.ly/pothnews1Check out my ⁠ blog www.Rdene915.com.Contact me for speaking & training related to AI, AI & the law, Cybersecurity, STEM, and more! bit.ly/thriveineduPDInterested in a sponsored podcast or collaboration? Contact me! Rdene915@gmail.com

Send us a textJoin hosts Ben Kornell and Alex Sarlin, joined by special co-host Mike Palmer, host of Trending in Ed, as they break down the biggest stories shaping AI, K–12 policy, higher education, and the global future of education.✨ Episode Highlights:[00:03:34] SchoolAI study shows teachers using AI for reasoning and inquiry [00:09:58] Denver Public Schools blocks ChatGPT over safety and privacy concerns [00:12:20] SoftBank invests another $30B in OpenAI as ads roll out [00:13:24] Gemini and Anthropic lead the race for AI in education [00:20:36] China launches nationwide AI literacy for K–12 [00:29:58] Most U.S. states still lack formal AI guidance for schools [00:33:13] Phone bans spread rapidly across schools [00:38:44] Higher ed enrollment rebounds but retention remains weakPlus, special guests:[00:46:19] Jeremy Smith, CEO and Co-founder of pega6, on one-year AI-first career accelerators [01:11:29] Stewart Brown, K–12 Computer Science and AI Literacy Leader at Code4Kids, on CS as a core elementary subject

Paranormal Heart welcomes Brent Michael Phillips February 3rd, 2026 EP: 71 Topic: -MIT Meets Miracles Brent Michael Phillips is a former MIT computer scientist, author, healer, and spiritual teacher who uniquely bridges science and spirituality. A Phi Beta Kappa graduate of MIT with degrees in Computer Science and Engineering, Brent left a successful tech career after experiencing a spontaneous, instantaneous healing that radically changed the course of his life. Inspired by this profound event, he dedicated himself to mastering energy healing and uncovering its scientific foundations. Brent founded Science Meets Spirit and developed the Awakening Dynamics system and the patent-pending Formula for Miracles®. Since 2004, he has helped thousands of clients worldwide through private sessions, workshops, and books, facilitating physical healing, emotional transformation, and expanded consciousness. Widely recognized as a pioneer in energy healing, Brent continues to teach and inspire others on the path from awakening to enlightenment. Website https://www.AwakeningDynamics.com Email support@awakeningdynamics.com YouTube Channel https://www.youtube.com/c/AwakeningDynamicswithBrentMichaelPhillips Instagram https://www.instagram.com/brentmichaelphillips_expert/ Facebook https://www.facebook.com/brent.michael.phillips.master.healer LinkedIn https://linkedin.com/in/brent-phillips-expert/ Elite Private Coaching/Healing Visit https://awakeningdynamics.com/private-sessions Or email sessions@awakeningdynamics.com

Brent Michael Phillips is a former MIT computer scientist, author, healer, and spiritual teacher who uniquely bridges science and spirituality. A Phi Beta Kappa graduate of MIT with degrees in Computer Science and Engineering, Brent left a successful tech career after experiencing a spontaneous, instantaneous healing that radically changed the course of his life. Inspired by this profound event, he dedicated himself to mastering energy healing and uncovering its scientific foundations.Brent founded Science Meets Spirit and developed the Awakening Dynamics system and the patent-pending Formula for Miracles®. Since 2004, he has helped thousands of clients worldwide through private sessions, workshops, and books, facilitating physical healing, emotional transformation, and expanded consciousness. Widely recognized as a pioneer in energy healing, Brent continues to teach and inspire others on the path from awakening to enlightenment.Website https://www.AwakeningDynamics.com Email  support@awakeningdynamics.com YouTube Channel  https://www.youtube.com/c/AwakeningDynamicswithBrentMichaelPhillips Instagram https://www.instagram.com/brentmichaelphillips_expert/ Facebook https://www.facebook.com/brent.michael.phillips.master.healer LinkedIn https://linkedin.com/in/brent-phillips-expert/ Elite Private Coaching/Healing Visit https://awakeningdynamics.com/private-sessions Or email sessions@awakeningdynamics.com

I spoke to Tan Zhi Xuan, Assistant Professor at the National University of Singapore's Department of Computer Science and founder of the Cooperative Intelligence and Systems Lab, a research group confronting the gap between the rationalist AI alignment discourse focused on superintelligence and what is actually happening.I had her on to talk about her work on cooperative AI (designing AI systems and institutions that promote beneficial cooperation among AI-empowered actors rather than conflict), her critique of techno-solutionist AI alignment approaches that ignore class interests and political economy, and how blockchain technologies might enable decentralized governance for a future of specialized AI agents. We also talk about the approach that Senator Bernie Sanders has taken recently in his critiques of AI companies.This episode is sponsored by NYM, the world's most private VPN. Unlike traditional VPNs, Nym uses a decentralized mixnet to scramble your internet data — hiding who you're talking to, when, and how often. You can switch between full mixnet mode for maximum anonymity, or a faster VPN mode for everyday use.Use the code blockchainsocialist when signing up and get an extra month!If you liked the podcast be sure to give it a review on your preferred podcast platform. If you find content like this important consider donating to my Patreon starting at just $3 per month. It takes quite a lot of my time and resources so any amount helps. Follow me on Twitter (@TBSocialist) or Mastodon (@theblockchainsocialist@social.coop) and join the r/CryptoLeftists subreddit. Support the showICYMI I've written a book about, no surprise, blockchains through a left political framework! The title is Blockchain Radicals: How Capitalism Ruined Crypto and How to Fix It and is being published through Repeater Books, the publishing house started by Mark Fisher who's work influenced me a lot in my thinking. The book is officially published and you use this linktree to find where you can purchase the book based on your region / country.

In this conversation, we explore the foundations of artificial intelligence with Ellie Pavlick, Assistant Professor of Computer Science at Brown University, a Research Scientist at Google Deepmind, and Director of ARIA, an NSF-funded institute examining AI's role in mental health support. Ellie's trajectory—from undergraduate degrees in economics and saxophone performance to pioneering research at the intersection of AI and cognitive science—reflects the kind of interdisciplinary thinking increasingly essential for understanding what these systems are and what they mean for us.Ellie represents a generation of researchers grappling with what she calls a "paradigm shift" in how we understand both artificial and human intelligence. Her work challenges long-held assumptions in cognitive science while refusing to accept easy answers about what AI systems can or cannot do. As she observes, we're witnessing concepts like "intelligence," "meaning," and "understanding" undergo the kind of radical redefinition that historically accompanies major scientific revolutions—where old terms become relics of earlier theories or get repurposed to mean something fundamentally different.Key themes we explore:- The Grounding Question: How Ellie's thinking evolved from believing AI fundamentally lacked meaning without embodied sensory experience to recognizing that grounding itself is a more complex and empirically testable question than either side of the debate typically acknowledges- Symbols Without Symbolism: Her recent collaborative work with Tom Griffiths, Brenden Lake, and others demonstrating that large language models exhibit capabilities previously thought to require explicit symbolic architectures—challenging decades of cognitive science orthodoxy about human cognition- The Measurability Problem: Why AI's apparent success on standardized tests reveals more about the inadequacy of our metrics than the adequacy of the systems, and how education, hiring, and relationships have always resisted quantification in ways we conveniently forget when evaluating AI- Intelligence as Moving Target: Ellie's argument that "intelligence" functions as a placeholder term for "the thing we don't yet understand"—always retreating as scientific progress advances, much like obsolete scientific concepts such as ether- The Value Frontier: Why the aspects of human experience that resist quantification may be definitionally human—not because they're inherently unmeasurable, but because they represent whatever currently sits beyond our measurement capabilities- Mental Health as Hard Problem: Why her new institute focuses on arguably the most challenging application domain for AI, where getting memory, co-adaptation, transparency, and long-term human impact right isn't optional but essentialEllie consistently pushes back against premature conclusions—whether it's claims that AI definitively lacks meaning or assertions that passing standardized tests proves human-level capability. Her approach emphasizes asking "are these processes similar or different?" rather than making sweeping judgments about whether systems "really" understand or "truly" have intelligence. As Ellie notes, we're at the "tip of the iceberg" in understanding these systems—we haven't yet pushed them to their breaking point or discovered their full potential.Her work on ARIA demonstrates this philosophy in practice. Rather than avoiding mental health applications because they're ethically fraught, she's leaning into the difficulty precisely because it forces confrontation with all the hard questions—from how memory works to how repeated human-AI interaction fundamentally changes both parties over time. It's research that refuses to wait a generation to see if we've "screwed up a whole generation."

In this episode, we covered: 1) Pete's 4-part framework for modern leadershipPete lays out what he sees as “endemic” to great leadership today:Master cash flow (because nothing survives without it)Know whether you're a visionary or an integrator (and don't pretend you're both)Be the master motivator (the era of fear-based leadership is over)Own the culture (and use story as one of your most powerful tools to shape it) 2) Storytelling as culture-engineeringWe dig into why stories are more than “nice to have.” Stories become the myths that create the mythology of a company—how values become behavior at scale. And if you want to influence culture, yesterday was easier than today. 3) The next AI infrastructure shift: from training to inferencingPete breaks down the difference between:Training LLMs (building the model)Inferencing (asking the model questions in real time—what most people experience as “prompting”)Then he takes it further: the next wave isn't human inferencing—it's machine inferencing. Robots, cars, devices, sensors… constantly asking “what do I do next?” at massive scale. 4) Why “edge” data centers are coming backPete predicts we'll move away from only massive, centralized “mega” campuses toward distributed, high-performance data centers near the edge—“in every town,” similar to telecom “points of presence” in the 1990s. That's the strategic thesis behind Gray Wolf Data Centers.   5) The modern mystic: mind, body, and the inner gamePete shares a candid chapter of his own life—anxiety, therapy, CBT, and a pivotal lesson: don't make the events you can't control your “problems.” He connects this to resilience through sleep, health practices, and the belief that we can reshape the mind through neuroplasticity—and even how he sees us as “quantum beings,” responsible for how we observe and choose our reality. 6) A hopeful thesis: “good AI” vs “bad AI” + post-scarcityWe touch the fear many people carry (yes, I mention growing up in the Terminator era), but Pete offers a provocative counter: the way we beat bad AI is with good AI—models designed around human flourishing and shared broadly as a public service. He believes we're headed through disruption toward post-scarcity, and that our descendants will wonder why we didn't support each other sooner. 7) The closing leadership message: “we are all one”Pete's final note is the one that matters most to me: we're all connected—and we're here for each other. In my book, that's not just a spiritual idea; it's a leadership standard. ----- Resources Mentioned:Pete's company: Gray Wolf Data CentersPete's book: Living in Bliss: Achieve a Balanced Existence of Body, Mind and SpiritPete's site: PeteSacco.com (signed copies + meditation materials)Dr. David Burns: The Feel Good HandbookDan Sullivan: Who Not How (and other referenced works)Peter Diamandis: longevity reference ----- If you want to apply this immediately:Ask yourself: Am I the visionary or the integrator here? (And who do I need as my counterbalance?)  Choose one cultural value you care about—and tell a story that proves it.  If AI is making you anxious, zoom out: are you preparing for the training era, or the inferencing era?  ----- https://petesacco.comPete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University, and serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.  --------John Bates provides 1:1 Executive Communications Coaching, both in-person and online. He also gets 92+ Net Promoter Scores for his large and small group leadership development trainings at organizations like Johnson & Johnson, NASA, Google, Intuit, Boston Scientific, and many more. Find more at https://executivespeakingsuccess.com.Sign up for his weekly micro-trainings for free at https://johnbates.com/mini-trainings and create a great leadership communications habit that makes you the kind of leader who inspires trust, loyalty, and connection.

What if the most effective strategy for leading change isn't fear-based urgency, but love? In this episode, Kevin sits down with Mohammad Anwar to explore a rethinking of how leaders can approach change by centering people, building trust, and creating psychological safety. Together, Kevin and Mohammad discuss why traditional change management approaches fail, how fear activates resistance, and why prioritizing emotional intelligence and human connection leads to sustainable transformation. They dive into six behavioral principles that underpin "love as a change strategy," including embracing discomfort, practicing empathetic curiosity, and wielding influence effectively. Mohammad also challenges conventional models like Maslow's hierarchy, advocating instead for love and belonging as the true foundation of human needs. Listen For 00:00 Why change requires leadership 00:35 Podcast welcome and purpose 01:39 Introducing Mohammad Anwar 03:35 The big idea Love as a Change Strategy 04:59 Defining love in a business context 07:38 The problem with fear based change 08:30 How love became the strategy 09:38 Personal crisis and leadership turning point 12:35 Football story and love as performance fuel 15:19 Why Maslow's hierarchy misses the mark 17:22 The six principles of leading change 22:55 Why empathetic curiosity matters 26:41 The hardest principle embrace discomfort 29:48 Choose your hard 32:34 Where to learn more and get the book 33:27 Final reflection now what Mohammad's Story: Mohammad Anwar is the Wall Street Journal bestselling author of Love as a Business Strategy: Resilience, Belonging & Success and his latest book, Love as a Change Strategy. He is the President and CEO of Softway and Culture+. A proud American Leadership Forum Senior Fellow (Class 59), Mohammad's story is as bold as his ideas. At just 20 years old, while still pursuing his B.S. in Computer Science with a minor in Mathematics at the University of Houston, Mohammad launched Softway with his family. What began in 2003 as a small web development company for local merchants has since grown into a global, people-first consulting firm specializing in digital transformation, culture, communication, and AI integration—without sacrificing humanity. https://www.softway.com/ https://www.culture-plus.com/ https://www.loveasastrategy.com/ https://www.linkedin.com/in/manwarsoftway/ https://www.linkedin.com/company/teamsoftway/ https://www.linkedin.com/company/culture_plus/ https://loveasachangestrategy.com/ This Episode is brought to you by... Flexible Leadership is every leader's guide to greater success in a world of increasing complexity and chaos.  Book Recommendations Love as a Change Strategy: Innovation, Growth, and Transformation by Mohammad F. Anwar, Frank E. Danna, Jeffrey F. Ma, Christopher J. Pitre  Wisdom Takes Work: Learn. Apply. Repeat. (The Stoic Virtues Series) by Ryan Holiday  Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI by Karen Hao  Like this? Becoming a Change Maker with Alex Budak The Problem with Change with Ashley Goodall The Art of Change with Jeff DeGraff Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group   Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes   

#truetalks #podcast #interview #professor #researcher #robotics #AI #artificialintelligence #LLM #GuideDogOn this episode of the Truetalks Podcast, we sit down with a very special guest, Professor Shiqi Zhang. Shiqi Zhang is an Associate Professor of Computer Science and a researcher at Binghamton University, who offers a unique perspective on the intersection of robotics and AI.Professor Zhang, who has been working on all kinds of robots for 15 years, discusses his background, including his early work in pattern recognition that led to technology for cell phones to automatically rotate images based on gravity detection. He clarifies a big misconception, explaining that AI is "much more than generative... models," encompassing fields like computer vision, robotics, and natural language processing. We also explore the future of mobile robotics, including advancements in the locomotion of humanoid robots, and his current work on developing a robotic guide dog to serve the blind and visually impaired. The goal of this research is to provide an alternative to biological guide dogs, since training a guide dog can be very expensive, costing about $50,000 in many places or up to $150,000 in New York State, and the graduation rate is low, under 50%.Get ready to rethink your understanding of AI and the transformative work being done in robotics.

Charles Acknin is Co-Founder and CEO of Skyways.  Skyways is building unmanned aircraft systems designed to revolutionize autonomous cargo transportation. Unlike many competitors still in development, Skyways' aircraft are operational today — carrying meaningful payloads over significant distances for both military and commercial customers. Based in Austin, Skyways is now shifting toward mass production of its autonomous aircraft, building confidence through real-world cargo missions that could ultimately enable future passenger applications. At Skyways, Charles leads the company's strategic vision and oversees operations, product development, and growth initiatives in autonomous aviation. Prior to Skyways, Charles co-founded and served as CEO of Elixir Labs. Before that, he was a Senior Software Engineer at Google, where he worked on the company's search engine for nearly five years and spent a year advancing Google's mission of universal accessibility. Earlier in his career, Charles held engineering roles at Oracle, Cosworld-Asia in Shanghai, and Amadeus. He also participated in Google Summer of Code, contributing to the open-source version control system Subversion. Charles holds a Master of Science in Software Engineering from Oxford Brookes University and a Master of Science in Computer Science from SUPINFO. In this episode of the Drone Radio Show, Charles shares how Skyways is turning autonomous cargo drones from experimental technology into dependable, scalable logistics systems.

We're joined by the four authors of *Digital Theory* — M. Beatrice Fazi, Alexander R. Galloway, Matthew Handelman, and Leif Weatherby — for a roundtable on their new collaborative work.Digital Theory (University of Minnesota Press, 2025) makes a deceptively simple but far-reaching claim: the digital is theoretical. Not in the sense that we theorize about it, but that digitality itself — mediation through discrete units — is a condition for thinking as such.Just to get it out of the way, listeners to the pod know that these four thinkers need no introduction. This is literally the cohort that we've held in our minds over the past few years (there's probably nobody whose shaped our brains as formatively on this subject than Alexander Galloway, whose writing was the subject of Marek's en route masters thesis and the first PDF sent between Marek and Roberto). The conversation opens up a series of productive disagreements within the group. What's the relationship between the digital and computation? For Fazi, the digital is discretization — "the cut" — while computation is systematization, building, constructing. This distinction allows the book to think the digital before and beyond the computer, back to proto-writing tokens and forward to whatever comes next. A major target here is what Galloway calls "analog philosophy," the dominant strain of theory over the last few decades that privileges affect, sensation, intensity, immanence. Deleuze is named directly as the great philosopher of the analog: obsessed with the fold, hostile to structuralism, drawn to "a language of breaths and screams." The authors aren't throwing Deleuze overboard entirely (to them the "Postscript on the Societies of Control" still hits) but they're skeptical that his ontology can account for digital technology as a form of thought. REFERENCES:*Digital Theory* (In Search of Media series), University of Minnesota Press, 2025 https://www.upress.umn.edu/9781517920197/digital-theory/M. Beatrice Fazi - *Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics*, Rowman & Littlefield, 2018 https://rowman.com/ISBN/9781786606082/Contingent-Computation-Abstraction-Experience-and-Indeterminacy-in-Computational-AestheticsAlexander R. Galloway - *Uncomputable: Play and Politics in the Long Digital Age*, Verso, 2021 https://www.versobooks.com/products/2656-uncomputable - "Golden Age of Analog," *Critical Inquiry* 48, no. 2 (2022) https://www.journals.uchicago.edu/doi/abs/10.1086/717324 - Galloway's website and blog https://cultureandcommunication.org/galloway/Matthew Handelman - *The Mathematical Imagination: On the Origins and Promise of Critical Theory*, Fordham University Press, 2019 https://www.fordhampress.com/9780823283842/the-mathematical-imagination/Leif Weatherby - *Language Machines: Cultural AI and the End of Remainder Humanism*, University of Minnesota Press, 2025 https://www.upress.umn.edu/book-division/books/language-machines (our book of the year, for what it's worth) - *Transplanting the Metaphysical Organ: German Romanticism between Leibniz and Marx*, Fordham University Press, 2016 - Digital Theory Lab at NYU https://as.nyu.edu/faculty/leif-allison-reid-weatherby.htmlSome References Discussed:Gilles Deleuze, "Postscript on the Societies of Control" (1992)Theodor Adorno & Max Horkheimer, *Dialectic of Enlightenment*Euclid, *Elements*, Book V (on analog/logos)Jacques Lacan, *Seminar II: The Ego in Freud's Theory and in the Technique of Psychoanalysis* (on cybernetics)François Laruelle and Alain Badiou, on the genericEve Tuck, "Breaking Up with Deleuze"Hito Steyerl, "How Not to Be Seen: A Fucking Didactic Educational .MOV File" (2013)

Kris Beevers is the CEO at NetBox Labs, working on turning NetBox into the system of record and automation backbone for modern and AI-driven infrastructure.Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth // MLOps Podcast #359 with Kris Beevers, CEO of NetBox LabsJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractHundreds of neocloud operators and "AI Factory" builders have emerged to serve the insatiable demand for AI infrastructure. These teams are compressing the design, build, deploy, operate, scale cycle of their infrastructures down to months, while managing massive footprints with lean teams. How? By applying modern intent-driven infrastructure automation principles to greenfield deployments. We'll explore how these teams carry design intent through to production, and how operating and automating around consistent infrastructure data is compressing "time to first train".// BioKris Beevers is the Co-founder and CEO of NetBox Labs. NetBox is used by nearly every Neocloud and AI datacenter to manage their networks and infrastructure. Kris is an engineer at heart and by background, and loves the leverage infrastructure innovation creates to accelerate technology and empower engineers to do their best work. A serial entrepreneur, Kris has founded and helped lead multiple other successful businesses in the internet and network infrastructure. Most recently, he co-founded and led NS1, which was acquired by IBM in 2023. He holds a Ph.D. in Computer Science from Rensselaer Polytechnic Institute and is based in New Jersey.// Related LinksWebsite: https://netboxlabs.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kris on LinkedIn: /beevek/Timestamps:[00:00] Observability and Delta Analysis[00:26] New World Exploration[04:06] Bottlenecks in AI Infrastructure[13:37] Data Center Optimization Challenges[19:58] Tech Stack Breakdown[25:26] Data Center Design Principles[31:32] Constraints and Automation in Design[40:00] Complexity in Data Centers[45:02] GPU Cloud Landscape[50:24] Data Centers in Containers[57:45] Observability Beyond Software[1:04:43] Tighter Integrations vs NetBox[1:06:47] Wrap up

Our ears, nose, and throat (ENT) work quietly together to shape how we hear, breathe, taste, and even defend ourselves against the outside world. From the often-misunderstood role of earwax to why dry air and seasonal changes make nosebleeds more common—and how inflammation and mucosal irritation contribute to sore throats—many everyday ENT issues are actually signs of smart protective design. But with such a complex system, how simple can effective treatments really be? Can warm tea with honey actually soothe throat irritation? Are cotton swabs really bad for our ears? Can spicy foods truly clear sinus infections?In this episode, we are joined by Dr. Chris Park, MD (known online as ChrisP.MD), an Otolaryngology (ENT) - Head & Neck Surgery Chief Resident Physician.Dr. Park received his B.A. in Biology and Computer Science from Dartmouth College and his M.D. with Distinction in Research from the Icahn School of Medicine at Mount Sinai, where he was a Researcher at the Laryngology Lab. Dr. Park is currently completing his ENT residency at the Indiana University Department of Otolaryngology-Head and Neck Surgery and recently matched into the Facial Plastic & Reconstructive Surgery Fellowship at the University of Pennsylvania Department of Otorhinolaryngology-Head and Neck Surgery.Online, Dr. Park has amassed over 350,000 followers, beginning his journey on TikTok, sharing his life surrounding medicine.Follow Friends of Franz Podcast: Website, Instagram, FacebookFollow Christian Franz (Host): Instagram, YouTube

Feb. 3/2026 Brent Michael Phillips is a former MIT computer scientist, author, healer, and spiritual teacher who uniquely bridges science and spirituality. A Phi Beta Kappa graduate of MIT with degrees in Computer Science and Engineering, Brent left a successful tech career after experiencing a spontaneous, instantaneous healing that radically changed the course of his life. Inspired by this profound event, he dedicated himself to mastering energy healing and uncovering its scientific foundations. Brent founded Science Meets Spirit and developed the Awakening Dynamics system and the patent-pending Formula for Miracles®. Since 2004, he has helped thousands of clients worldwide through private sessions, workshops, and books, facilitating physical healing, emotional transformation, and expanded consciousness. Widely recognized as a pioneer in energy healing, Brent continues to teach and inspire others on the path from awakening to enlightenment. Website  https://www.AwakeningDynamics.com  Email   support@awakeningdynamics.com  YouTube Channel   https://www.youtube.com/c/AwakeningDynamicswithBrentMichaelPhillips  Instagram  https://www.instagram.com/brentmichaelphillips_expert/  Facebook  https://www.facebook.com/brent.michael.phillips.master.healer  LinkedIn  https://linkedin.com/in/brent-phillips-expert/  Elite Private Coaching/Healing  Visit https://awakeningdynamics.com/private-sessions  Or email sessions@awakeningdynamics.com  

Why do today's most powerful AI systems still struggle to explain their decisions, repeat the same mistakes, and undermine trust at the very moment we are asking them to take on more responsibility? In this episode of Tech Talks Daily, I'm joined by Artur d'Avila Garcez, Professor of Computer Science at City, St George's University of London, and one of the early pioneers of neurosymbolic AI. Our conversation cuts through the noise around ever-larger language models and focuses on a deeper question many leaders are now grappling with. If scale alone cannot deliver reliability, accountability, or genuine reasoning, what is missing from today's AI systems? Artur explains neurosymbolic AI in clear, practical terms as the integration of neural learning with symbolic reasoning. Deep learning excels at pattern recognition across language, images, and sensor data, but it struggles with planning, causality, and guarantees. Symbolic AI, by contrast, offers logic, rules, and explanations, yet falters when faced with messy, unstructured data. Neurosymbolic AI aims to bring these two worlds together, allowing systems to learn from data while reasoning with knowledge, producing AI that can justify decisions and avoid repeating known errors. We explore why simply adding more parameters and data has failed to solve hallucinations, brittleness, and trust issues. Artur shares how neurosymbolic approaches introduce what he describes as software assurances, ways to reduce the chance of critical errors by design rather than trial and error. From self-driving cars to finance and healthcare, he explains why combining learned behavior with explicit rules mirrors how high-stakes systems already operate in the real world. A major part of our discussion centers on explainability and accountability. Artur introduces the neurosymbolic cycle, sometimes called the NeSy cycle, which translates knowledge into neural networks and extracts knowledge back out again. This two-way process opens the door to inspection, validation, and responsibility, shifting AI away from opaque black boxes toward systems that can be questioned, audited, and trusted. We also discuss why scaling neurosymbolic AI looks very different from scaling deep learning, with an emphasis on knowledge reuse, efficiency, and model compression rather than ever-growing compute demands. We also look ahead. From domain-specific deployments already happening today to longer-term questions around energy use, sustainability, and regulation, Artur offers a grounded view on where this field is heading and what signals leaders should watch for as neurosymbolic AI moves from research into real systems. If you care about building AI that is reliable, explainable, and trustworthy, this conversation offers a refreshing and necessary perspective. As the race toward more capable AI continues, are we finally ready to admit that reasoning, not just scale, may decide what comes next, and what kind of AI do we actually want to live with?   Useful Links Neurosymbolic AI (NeSy) Association website Artur's personal webpage on the City, St George's University of London page Co-authored book titled "Neural-Symbolic Learning Systems" The article about neurosymbolic AI and the road to AGI The Accountability in AI article Reasoning in Neurosymbolic AI Neurosymbolic Deep Learning Semantics

Scott Aaronson is the Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. He researches the capabilities and limits of quantum computers, and computational complexity theory more generally. For the 2022-2023 and 2023-2024 academic years, he was on leave to work at OpenAI on the theoretical foundations of AI safety. In this episode of Robinson's Podcast, Scott answers a host of questions about the basics of quantum computing. He and Robinson discuss the physics- and computer science elements of the field, how it connects to the foundations of quantum mechanics, the biggest myths about quantum computing, and whether quantum computers will every actually be built.Scott's Blog: https://scottaaronson.blogOUTLINE00:00 Scott's Interest in Quantum Computing07:10 Distinguishing the Physics from the Computer Science14:43 What Is Quantum Computation?39:41 The Interpretations of Quantum Mechanics53:31 Quantum Information55:54 Prime Factorization01:03:19 The Biggest Myths About Quantum Computing01:14:06 Can Quantum Computers Actually Be Built?Robinson's Website: http://robinsonerhardt.comRobinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University, where he is also a JD candidate in the Law School.

Learn how to adapt and evolve your business to thrive through market disruptions and scale beyond seven figures. I sit down with Itai Sadan to explore why the ability to adapt and evolve separates good entrepreneurs from exceptional ones. Itai shares the raw story of building Duda from a garage startup to a company hosting over one million websites, including the pivotal moment when declining revenues forced a complete product pivot. From escaping the founder's trap to navigating the mobile revolution and now AI disruption, this conversation delivers hard-won lessons on staying ahead of market shifts, persuading your team through change, and why you don't have to be first to win. Itai Sadan is the co-founder and CEO of Duda, a white-label website builder serving digital marketing agencies and SaaS platforms worldwide. He launched the company in 2008 from his garage in Mountain View with his high school friend Amir Glatt after recognizing the shift toward mobile internet. Prior to Duda, Itai held positions at SAP and Amdocs and founded InterSight, a data storage startup, at age 21. His insights on SMBs, digital agencies, and online marketing have been featured in USA Today, TechCrunch, The Huffington Post, and more. Itai holds a BSc in Computer Science and Mathematics from Ben Gurion University in Israel. KEY TAKEAWAYS: The founder's trap happens when everything depends on you, and escaping it requires hiring for your weaknesses first. Building a business is an ultra-marathon, not a sprint, so find a sustainable pace that allows for continuous learning. Market dynamics will thrust challenges upon you regardless of revenue milestones, so stay attuned to shifts beyond your control. When pivoting, use data and customer feedback to persuade your team rather than pulling rank as the boss. AI won't take your job, but a competitor using AI better than you will. You don't have to be first to market because Google, Facebook, and others all came after early movers and still won. Niching down and being crystal clear on who you serve positions you perfectly for the AI-forward buyer's journey. Surround yourself with mentors and smart people to play intellectual ping pong and spot blind spots you'd miss alone. Connect with Itai Sadan: Website: https://www.duda.co LinkedIn: https://www.linkedin.com/in/itaisadan Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites:  www.PredictableProfits.com www.predictableprofits.com/community https://start.predictableprofits.com/community  

Cal Newport is carrying the banner for a movement to slow down. Cal is an Associate Professor of Computer Science at Georgetown University. He is also the New York Times bestselling author of eight books, including, his latest: Slow Productivity, which debuted at number two on the NYT list in March. Cal is also a contributing writer for The New Yorker and the host of the Deep Questions podcast. On this classic episode Cal joined host Robert Glazer on ⁠the Elevate Podcast⁠ for a deep-dive conversation on Slow Productivity, including how it works and why it can lead to achievement without burnout. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠framer.com/elevate⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Homeserve: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠homeserve.com⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠vanguard.com/audio Learn more about your ad choices. Visit megaphone.fm/adchoices

Jim coaches product management in startups, growth-stage companies, and Fortune 100s. He's a Silicon Valley founder with over two decades of experience, including an IPO and a buyout. These days, he coaches product leaders and teams to find product-market fit and accelerate growth across a variety of industries and business models. Jim graduated from Stanford University with a BS in Computer Science and currently lectures at both Stanford and University of California, Berkeley in product management.In today's episode of Smashing the Plateau, you will learn how to navigate the AI era in product development and build a sustainable coaching practice around your unique expertise.Jim and I discuss:Jim's career journey from building products to coaching [01:36]The importance of curiosity and ambition in product management [06:11]The benefit of having a dedicated product management coach [09:34]How AI tools are reducing friction in finding the right product [11:55]The exciting opportunities for companies that adopt AI tools effectively [14:32]Why internal transformation is the key competitive advantage [17:27]Advice for professionals building a consulting business [21:13]How peer relationships enhance transformation [24:51]Helping people navigate the turmoil of adopting new AI technologies [26:03]Learn more about Jim at https://www.linkedin.com/in/jimmorrisstanford/ and https://productdiscoverygroup.com__________________________________________________________About Smashing the PlateauSmashing the Plateau shares stories and strategies from corporate refugees: mid-career professionals who've left corporate life to build something of their own.Each episode features a candid conversation with someone who has walked this path or supports those who do. Guests offer real strategies to help you build a sustainable, fulfilling business on your terms, with practical insights on positioning, growth, marketing, decision-making, and mindset.Woven throughout are powerful reminders of how community can accelerate your success.__________________________________________________________Take the Next Step• Experience the power of community.Join a live guest session and connect with peers who understand the journey:https://smashingtheplateau.com/guest• Not ready to join live yet? Stay connected.Get practical strategies, stories, and invitations delivered to your inbox:https://smashingtheplateau.com/news

DML talks with Dr. Roman Yampolskiy, a tenured Associate Professor of Computer Science and Engineering at the University of Louisville, known for his work in cybersecurity and AI safety. They discuss his warnings about advanced AI, why he believes the risks are being underestimated, how AI could threaten human existence, and what safeguards—if any—could prevent a worst-case outcome.