Podcasts about Computing

How should businesses rethink infrastructure when applications, data, and users are increasingly spread across thousands of locations? In this episode of Tech Talks Daily, I sit down with Mark Cree, President and Chief Operating Officer at Scale Computing, to talk about why the future of enterprise infrastructure is moving closer to where data is actually created. This conversation was recorded following the 66th edition of The IT Press Tour, where some of the most interesting conversations in enterprise infrastructure centered on what happens when businesses move away from oversized, monolithic stacks and start focusing on practical, distributed solutions. From retail stores and airports to remote industrial sites, the edge is becoming a critical part of modern IT strategy. Mark shares how Scale Computing has spent years building an edge-first platform designed to run critical workloads reliably across everything from a single location to tens of thousands of distributed sites. Mark also reflects on his own journey through the technology industry, which includes founding companies acquired by Cisco and NetApp, working as a venture capitalist, and leading major storage initiatives at AWS. That experience gives him a unique perspective on how enterprise infrastructure has evolved, particularly as organizations reconsider the balance between centralized cloud environments and local processing closer to users and devices. During our conversation, we explore why edge computing is becoming increasingly important for AI workloads, especially when large volumes of data are generated outside traditional data centers. Mark explains how processing information locally can reduce costs, improve performance, and enable entirely new use cases, from monitoring customer behavior in retail environments to running intelligent systems in remote locations. We also talk about the ongoing reassessment happening across enterprise IT teams following major industry shifts, including changes in the virtualization market and growing concerns around vendor lock-in. Mark explains how Scale Computing is positioning itself as a flexible alternative by combining virtualization, containerization, networking, and security into a platform designed specifically for distributed environments. Looking ahead, Mark shares his perspective on where enterprise infrastructure is heading over the next five years. As smaller AI models become more capable and organizations seek greater control over their data and systems, the role of edge platforms may become even more important.  Instead of relying solely on massive centralized environments, companies may find new value in distributing intelligence closer to the places where real-world activity happens. So as organizations rethink how they deploy applications, manage data, and control infrastructure, is the next big shift in enterprise IT happening right at the edge? And how prepared is your organization for that change?

Show Notes 6 March 2026Story 1: Scientists Grew Mini Brains, Then Trained Them to Solve an Engineering ProblemSource: ScienceAlert.com Link:https://www.sciencealert.com/scientists-grew-mini-brains-then-trained-them-to-solve-an-engineering-problem200,000 living human brain cells just learned to play Doom and this is just the start of itSource: ZME Science Link:https://www.zmescience.com/science/wetware-brain-doom-play/Story 2: Sub-$200 Lidar Could Reshuffle Auto[mobile] Sensor EconomicsSource: IEEE Spectrum Link:https://spectrum.ieee.org/solid-state-lidar-microvision-adasAdditional Info:https://microvision.com/Story 3: Magical Marvel: Tiny Fairy-Like Robot Flies by the Power of Wind and LightSource: SciTechDaily.comLink:https://scitechdaily.com/magical-marvel-tiny-fairy-like-robot-flies-by-the-power-of-wind-and-light/Story 4: Scientists uncover why some brain cells resist Alzheimer's diseaseSource: UCLA Newsroom Link:https://newsroom.ucla.edu/releases/scientists-uncover-why-some-brain-cells-resist-alzheimers-diseaseResearch Paper:https://www.cell.com/cell/fulltext/S0092-8674(25)01487-4Honorable MentionsNew plastic material could solve energy storage challenge, researchers reportSource: PennState NewsLink:https://www.psu.edu/news/research/story/new-plastic-material-could-solve-energy-storage-challenge-researchers-reportResearch Paper:https://www.nature.com/articles/s41586-026-10195-2Why Perovskite LEDs Might Soon Replace Every Light in Your HomeSource: ZME ScienceLink:https://www.zmescience.com/science/news-science/why-perovskite-could-replace-normal-leds/Neither classical nor quantum: This computer lets light solve complex calculations Source: Interesting EngineeringLink:https://interestingengineering.com/innovation/computer-uses-light-to-solve-calculationsA new flexible AI chip for smart wearables is thinner than a human hairSource: TechXplore.com

Managing distributed systems and complex workflows can be challenging. What happens when something fails? If a task isn't executed to completion, that can lead to serious problems. From transaction and billing failures to deploying software, even small issues can have significant consequences. This is one of the reasons for durable computing. Designed to isolate code from crashes, it preserves state so a task is completed even when something fails. To discuss durable computing, explore why it matters today and how we've been using it at Thoughtworks, Brandon Cook and John Coleman join host Alexey Boas on the Technology Podcast. They dive into the current platform ecosystem and what it means for developers — and requires of them. They also talk about the value of durable computing for AI, explaining why the concept of 'durable agents' offers an important of avenue of investigation in a world eager to embrace agentic systems.  Learn more about durable computing in this blog post from July 2025: https://www.thoughtworks.com/insights/blog/cloud/durable-computing-making-easier-resilience-distributed-systems  

The groundbreaking Pinnacle Architecture paper has sent shockwaves through the quantum computing industry by demonstrating that RSA-2048 encryption could potentially be cracked with just 100,000 physical qubits. This is a massive order-of-magnitude reduction from previous estimates that once reached into the millions. Join host Konstantinos Karagiannis as he sits down with Felix Thomsen and Paul Webster from Iceberg Quantum as they explain the techniques in the paper and its serious potential ramifications. By leveraging high-efficiency LDPC codes and a novel modular architecture, the team explains how they've bridged the gap between theoretical quantum error correction and practical hardware implementation, effectively accelerating the timeline toward Q-Day. More than one quantum computing hardware roadmap has us reaching 100,000 physical qubits before 2030! And there's no reason to believe future work couldn't lower the qubit requirements even more.   Beyond the security implications, the architecture is also a blueprint for the first generation of utility-scale quantum systems. Thomsen and Webster detail how their modular design—featuring dedicated processing units, magic engines, and shared memory—can be optimized for “slow” hardware like trapped ions or applied to life-changing scientific breakthroughs in quantum chemistry and material science. Whether you are a cryptographer bracing for the post-quantum transition or a scientist eager to see the first practical applications of fault-tolerant quantum computing, you'll need to understand this paper's potential impact.   For more information on Iceberg Quantum, visit https://www.iceberg-quantum.com/.     To read the Pinnacle paper: https://arxiv.org/abs/2602.11457. Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

In this episode of the IoT For All Podcast, Daniel Lang, Chief Marketing Officer at Toradex, joins Ryan Chacon to discuss navigating the complex and evolving landscape of embedded computing. The conversation covers trends in the embedded space, AI at the edge, recent cybersecurity regulations, transitioning from Windows CE to Linux-based solutions, and practical advice for companies navigating compliance.With over 21 years of experience in the embedded industry, Daniel Lang has a strong background in both hardware and software development. Over the past 18 years at Toradex, he has played a key role in transforming the company from a Swiss startup into a global leader in embedded computer modules. In his role, he leads global strategies and initiatives for Toradex and Torizon.Toradex has been a trusted provider of embedded hardware and software solutions for over two decades, specializing in Arm®-based System on Modules (SoMs) and Single Board Computers (SBCs). Toradex's offerings are an ideal fit in applications across healthcare, transportation, industrial automation, robotics, agriculture, and smart cities - helping customers bring their products to market faster, more efficiently, and at a lower total cost.Toradex's core offerings of pin-compatible, off-the-shelf SoMs provide unparalleled flexibility and scalability, while Torizon, their easy-to-use open-source embedded Linux distribution, simplifies product development. Torizon integrates seamlessly with their hardware, offering an optimized solution for OS, development tools, remote updates, and fleet management - all built with high security and reliability in mind.Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Toradex: https://www.toradex.comConnect with Daniel: https://www.linkedin.com/in/daniel-lang-1b783250/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Navigating the Modern College Admissions Landscape with Rick ClarkIn this episode of The College Admissions Process Podcast, I welcome back Rick Clark, Vice Provost for Enrollment Management at Georgia Institute of Technology and co-author of The Truth About College Admissions. With decades of experience leading enrollment at one of the nation's premier STEM institutions, Rick offers thoughtful insight into the seismic shifts reshaping college admissions — and what families must understand to navigate this process wisely.We begin with the evolution of STEM and the changing landscape of Computer Science. Rick explains how artificial intelligence and prompting fluency are influencing disciplines far beyond a single major. Computing is no longer confined to one department; it is becoming embedded across the curriculum. For students, the message is clear: depth matters, but adaptability matters just as much.One of the most powerful moments in our conversation is Rick's “soup” analogy for admissions. Shaping a class is not about evaluating students in isolation. Institutions must balance residency goals, academic program needs, institutional priorities, and long-term enrollment strategy. Sometimes an admissions decision reflects the composition of the class more than the qualifications of the individual applicant. Understanding this distinction can bring clarity — and perspective — to families navigating outcomes.We also discuss the importance of storytelling within the application. The Common Application is not simply a form; it is a narrative. Letters of recommendation should function as a meaningful “forward,” adding new insight rather than repeating what is already visible. The Additional Information section should be used with intention, reserved for context that genuinely matters.Rick also addresses the ethical use of AI tools, including ChatGPT and Microsoft Copilot, as strategic resources for clarity and precision — particularly when refining activity descriptions within tight character limits. Used wisely, these tools can support organization and concision while preserving authenticity.We also highlight practical tools such as the Common Data Set and Net Price Calculators — resources every family should use early to ensure both academic and financial fit.This conversation is grounded, transparent, and empowering. If you are looking for clarity in a complex admissions landscape — and a way to move through it as a unified family — this episode delivers exactly that.Georgia Tech - Undergraduate AdmissionGeorgia Tech - Enrollment Management NewsLink to Rick's Book

- AI for military use; Anthropic, OpenAI, DoD - SambaNova: Intel partnership, new SN50 chip - GTC 2026 - Mobile World Congress 2026 [audio mp3="https://orionx.net/wp-content/uploads/2026/03/HPCNB_20260302.mp3"][/audio] The post HPC News Bytes – 20260302 appeared first on OrionX.net.

Middle Ground with JLE L.L.C. "Where We Treat You Like Family" on MIDDLE GROUND WITH JLE NETWORK YOUTUBE CHANNEL welcomes Best Selling 5x Published Author, Musician, Journalist, Speaker, CEO & Host Jeffrey L. Edwards(JLE) for a Black History Special Part II dedicated to Black Authors, Pioneers of Computing & Software, Aerospace & Telecommunications Leaders, Hardware & Industrial Innovators, Modern Tech Leaders & Advocates, Black People Who Made History in Winning Political Seats. And Their Impact to Society.

James Altucher Show: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- A Note from James:Is he the most hated man in America? I don't think so.Martin Shkreli was notorious for various reasons that you'll hear about in this episode—there are some crazy stories—but I've come to know Martin over the past few months as both a friend and business partner.Let's just hear his stories and explanations. I think you'll agree with me that this is one of the smartest people I've ever had on the podcast.Episode Description:Martin Shkreli became one of the most controversial figures in business history—labeled “the most hated man in America,” prosecuted, imprisoned, and publicly vilified.In this conversation, he tells his side of the story.Part 1 focuses on how media narratives form, why conviction and risk-taking matter in entrepreneurship, and the deeper mechanics behind the pharmaceutical controversy that made him famous. He explains the economics of drug pricing, insurance systems, neglected medications, and why public perception diverged so dramatically from what patients actually experienced.The episode also explores learning across disciplines, intellectual courage, prosecutors' incentives, and how public scandals evolve into legal consequences.Whether you agree with him or not, the discussion raises uncomfortable questions about business, regulation, media, and reputation.What You'll Learn:Why media narratives can shape public opinion more than factsThe real economics behind pharmaceutical pricing and insurance coverageHow entrepreneurs learn complex industries without formal trainingWhy conviction and risk tolerance are essential in investing and businessHow incentives within legal and political systems influence outcomesTimestamped Chapters:[00:02:00] “Most Hated Man in America” — Media Narratives & Reputation[00:03:11] A Note from James[00:03:45] Humor vs. Backlash: Handling Public Criticism[00:06:39] Conviction, Investing & Standing Your Ground[00:09:00] Optimism, Forgiveness & Business Relationships[00:12:08] The Pharma Controversy Begins[00:14:52] From Hedge Funds to Biotech CEO[00:17:40] Learning New Industries from Scratch[00:19:00] Staying Curious & Avoiding Fear of Complexity[00:21:00] Borrowing Knowledge Across Domains[00:23:06] How People Actually Learn Complex Skills[00:29:00] Entrepreneurship, Ego & Motivation[00:31:20] The Daraprim Pricing Decision Explained[00:34:00] Neglected Drugs & Pharma Economics[00:37:00] Profit Motive vs. Public Good[00:41:13] Why He Became the Target[00:45:00] Prosecutors, Incentives & Legal Strategy[00:47:00] Hedge Funds, Technical Violations & Trials[00:50:00] High-Profile Cases & Selective Enforcement[00:53:00] Media Attention & Personal DecisionsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Show Notes 27 February 2026Story 1: Artemis II to Test Laser-Based Communication from the MoonSource: ExtremeTech.comLink: https://www.extremetech.com/aerospace/artemis-ii-to-test-laser-based-communication-from-the-moonStory 2: New solar-powered device extracts lithium for batteries while desalinating seawaterSource: Interesting EngineeringLink: https://interestingengineering.com/energy/china-solar-device-extracts-lithium-desalinates-seawaterSee research paper here: https://www.cell.com/device/abstract/S2666-9986(25)00341-2Story 3: Paralysis treatment heals lab-grown human spinal cord organoidsSource: Northwestern University Link: https://news.northwestern.edu/stories/2026/02/paralysis-treatment-heals-lab-grown-human-spinal-cord-organoidsSee research paper here: https://www.nature.com/articles/s41551-025-01606-2Story 4: Toward regenerative bioprinting: Magnetic mixer enables scalable manufacturing of 3D-printed tissuesSource: TechXplore.comLink: https://techxplore.com/news/2026-02-regenerative-bioprinting-magnetic-mixer-enables.htmlSee research paper here: https://www.cell.com/device/abstract/S2666-9986(25)00357-6Honorable MentionsStory: How to Compute with Electron WavesSource: NewsBreak.comLink: https://www.newsbreak.com/ieee-spectrum-319637150/4454843506865-how-to-compute-with-electron-wavesStory: This Silent Wind Turbine Solves Sailing's Power ProblemSource: Yanko DesignLink: https://www.yankodesign.com/2026/01/18/this-silent-wind-turbine-solves-sailings-power-problem/Story: Army establishes new AI, machine learning career path for officersSource: US Army Website Link: https://www.army.mil/article/289843/army_establishes_new_ai_machine_learning_career_path_for_officersStory: Smart chip could slash computing energy use by up to 5,000×Source: Interesting Engineering via MSNLink: https://www.msn.com/en-us/technology/hardware-and-devices/smart-chip-could-slash-computing-energy-use-by-up-to-5-000/ar-AA1UFiIN

How Taiwan rose to global prominence in high tech manufacturing, from computer maker to the world's leading chip manufacturer. How did Taiwan, a former Japanese colony and the last fortress of the defeated Chinese Nationalists, ascend to such heights in high-tech manufacturing? In Island Tinkerers: Innovation and Transformation in the Making of Taiwan's Computing Industry (MIT Press, 2024), Honghong Tinn tells the critical history of how hobbyists and enthusiasts in Taiwan, including engineers, technologists, technocrats, computer users, and engineers-turned-entrepreneurs, helped transform the country with their hands-on engagement with computers. Rather than engaging in wholesale imitation of US sources, she explains, these technologists tinkered with imported computing technology and experimented with manufacturing their own versions, resulting in their own brand of successful innovation. Defying the stereotype of “the West innovates, and the East imitates,” Tinn tells the story of Taiwanese technologists' efforts over the past six decades. Beginning in the 1960s, they grappled with the “black-boxed” computers that were newly available through international technical-aid programs. Shortly after, multinational corporations that outsourced transistor and integrated circuit assembly overseas began employing Taiwanese engineers and factory workers. Island tinkerers developed strategies to adapt, modify, assemble, and work with computers in an inventive manner. It was through this creative and ingenious tinkering with computers that they were able to gain a better understanding of the technology, opening the door to future manufacturing endeavors that now include Acer, Foxconn, Asus, and Taiwan Semiconductor Manufacturing Company (TSMC). Honghong Tinn is Assistant Professor in the Program in the History of Science, Technology, and Medicine and the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Li-Ping Chen is a visiting scholar in the Department of East Asian Languages and Cultures at the University of Southern California. Her research interests include literary translingualism, diaspora, and nativism in Sinophone, inter-Asian, and transpacific contexts. Li-Ping's NBN episodes on Taiwan Studies are supported by the Chun and Jane Chiu Family Foundation Taiwan Studies Program at Oregon State University. Relevant Links: Open Access for Island Tinkerers here Island Tinkerers' Book Talk with Honghong Tinn here Chinese language translation of Island Tinkerers 科技造浪者: 一部奇蹟般的台灣科技產業史，揭開全球都想知道的人脈網絡 here Fly up with Love (1978) here “Labour and (De)Industrialisation in East Asia” in Gateway To Global China Podcast here Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

How Taiwan rose to global prominence in high tech manufacturing, from computer maker to the world's leading chip manufacturer. How did Taiwan, a former Japanese colony and the last fortress of the defeated Chinese Nationalists, ascend to such heights in high-tech manufacturing? In Island Tinkerers: Innovation and Transformation in the Making of Taiwan's Computing Industry (MIT Press, 2024), Honghong Tinn tells the critical history of how hobbyists and enthusiasts in Taiwan, including engineers, technologists, technocrats, computer users, and engineers-turned-entrepreneurs, helped transform the country with their hands-on engagement with computers. Rather than engaging in wholesale imitation of US sources, she explains, these technologists tinkered with imported computing technology and experimented with manufacturing their own versions, resulting in their own brand of successful innovation. Defying the stereotype of “the West innovates, and the East imitates,” Tinn tells the story of Taiwanese technologists' efforts over the past six decades. Beginning in the 1960s, they grappled with the “black-boxed” computers that were newly available through international technical-aid programs. Shortly after, multinational corporations that outsourced transistor and integrated circuit assembly overseas began employing Taiwanese engineers and factory workers. Island tinkerers developed strategies to adapt, modify, assemble, and work with computers in an inventive manner. It was through this creative and ingenious tinkering with computers that they were able to gain a better understanding of the technology, opening the door to future manufacturing endeavors that now include Acer, Foxconn, Asus, and Taiwan Semiconductor Manufacturing Company (TSMC). Honghong Tinn is Assistant Professor in the Program in the History of Science, Technology, and Medicine and the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Li-Ping Chen is a visiting scholar in the Department of East Asian Languages and Cultures at the University of Southern California. Her research interests include literary translingualism, diaspora, and nativism in Sinophone, inter-Asian, and transpacific contexts. Li-Ping's NBN episodes on Taiwan Studies are supported by the Chun and Jane Chiu Family Foundation Taiwan Studies Program at Oregon State University. Relevant Links: Open Access for Island Tinkerers here Island Tinkerers' Book Talk with Honghong Tinn here Chinese language translation of Island Tinkerers 科技造浪者: 一部奇蹟般的台灣科技產業史，揭開全球都想知道的人脈網絡 here Fly up with Love (1978) here “Labour and (De)Industrialisation in East Asia” in Gateway To Global China Podcast here Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/east-asian-studies

Your devices don't just respond—they anticipate. Smart tech now nudges, predicts, and guides daily life. But when automation shapes habits and choices, are we still free? Dom Bettinelli and Thomas Sanjurjo examine agency, consent, virtue, and reclaiming silence in an always-on world. The post Ambient Computing: Are You Making Free Choices? appeared first on StarQuest Media.

How Taiwan rose to global prominence in high tech manufacturing, from computer maker to the world's leading chip manufacturer. How did Taiwan, a former Japanese colony and the last fortress of the defeated Chinese Nationalists, ascend to such heights in high-tech manufacturing? In Island Tinkerers: Innovation and Transformation in the Making of Taiwan's Computing Industry (MIT Press, 2024), Honghong Tinn tells the critical history of how hobbyists and enthusiasts in Taiwan, including engineers, technologists, technocrats, computer users, and engineers-turned-entrepreneurs, helped transform the country with their hands-on engagement with computers. Rather than engaging in wholesale imitation of US sources, she explains, these technologists tinkered with imported computing technology and experimented with manufacturing their own versions, resulting in their own brand of successful innovation. Defying the stereotype of “the West innovates, and the East imitates,” Tinn tells the story of Taiwanese technologists' efforts over the past six decades. Beginning in the 1960s, they grappled with the “black-boxed” computers that were newly available through international technical-aid programs. Shortly after, multinational corporations that outsourced transistor and integrated circuit assembly overseas began employing Taiwanese engineers and factory workers. Island tinkerers developed strategies to adapt, modify, assemble, and work with computers in an inventive manner. It was through this creative and ingenious tinkering with computers that they were able to gain a better understanding of the technology, opening the door to future manufacturing endeavors that now include Acer, Foxconn, Asus, and Taiwan Semiconductor Manufacturing Company (TSMC). Honghong Tinn is Assistant Professor in the Program in the History of Science, Technology, and Medicine and the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Li-Ping Chen is a visiting scholar in the Department of East Asian Languages and Cultures at the University of Southern California. Her research interests include literary translingualism, diaspora, and nativism in Sinophone, inter-Asian, and transpacific contexts. Li-Ping's NBN episodes on Taiwan Studies are supported by the Chun and Jane Chiu Family Foundation Taiwan Studies Program at Oregon State University. Relevant Links: Open Access for Island Tinkerers here Island Tinkerers' Book Talk with Honghong Tinn here Chinese language translation of Island Tinkerers 科技造浪者: 一部奇蹟般的台灣科技產業史，揭開全球都想知道的人脈網絡 here Fly up with Love (1978) here “Labour and (De)Industrialisation in East Asia” in Gateway To Global China Podcast here Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

How Taiwan rose to global prominence in high tech manufacturing, from computer maker to the world's leading chip manufacturer. How did Taiwan, a former Japanese colony and the last fortress of the defeated Chinese Nationalists, ascend to such heights in high-tech manufacturing? In Island Tinkerers: Innovation and Transformation in the Making of Taiwan's Computing Industry (MIT Press, 2024), Honghong Tinn tells the critical history of how hobbyists and enthusiasts in Taiwan, including engineers, technologists, technocrats, computer users, and engineers-turned-entrepreneurs, helped transform the country with their hands-on engagement with computers. Rather than engaging in wholesale imitation of US sources, she explains, these technologists tinkered with imported computing technology and experimented with manufacturing their own versions, resulting in their own brand of successful innovation. Defying the stereotype of “the West innovates, and the East imitates,” Tinn tells the story of Taiwanese technologists' efforts over the past six decades. Beginning in the 1960s, they grappled with the “black-boxed” computers that were newly available through international technical-aid programs. Shortly after, multinational corporations that outsourced transistor and integrated circuit assembly overseas began employing Taiwanese engineers and factory workers. Island tinkerers developed strategies to adapt, modify, assemble, and work with computers in an inventive manner. It was through this creative and ingenious tinkering with computers that they were able to gain a better understanding of the technology, opening the door to future manufacturing endeavors that now include Acer, Foxconn, Asus, and Taiwan Semiconductor Manufacturing Company (TSMC). Honghong Tinn is Assistant Professor in the Program in the History of Science, Technology, and Medicine and the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Li-Ping Chen is a visiting scholar in the Department of East Asian Languages and Cultures at the University of Southern California. Her research interests include literary translingualism, diaspora, and nativism in Sinophone, inter-Asian, and transpacific contexts. Li-Ping's NBN episodes on Taiwan Studies are supported by the Chun and Jane Chiu Family Foundation Taiwan Studies Program at Oregon State University. Relevant Links: Open Access for Island Tinkerers here Island Tinkerers' Book Talk with Honghong Tinn here Chinese language translation of Island Tinkerers 科技造浪者: 一部奇蹟般的台灣科技產業史，揭開全球都想知道的人脈網絡 here Fly up with Love (1978) here “Labour and (De)Industrialisation in East Asia” in Gateway To Global China Podcast here Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

A Note from James:Is he the most hated man in America? I don't think so.Martin Shkreli was notorious for various reasons that you'll hear about in this episode—there are some crazy stories—but I've come to know Martin over the past few months as both a friend and business partner.Let's just hear his stories and explanations. I think you'll agree with me that this is one of the smartest people I've ever had on the podcast.Episode Description:Martin Shkreli became one of the most controversial figures in business history—labeled “the most hated man in America,” prosecuted, imprisoned, and publicly vilified.In this conversation, he tells his side of the story.Part 1 focuses on how media narratives form, why conviction and risk-taking matter in entrepreneurship, and the deeper mechanics behind the pharmaceutical controversy that made him famous. He explains the economics of drug pricing, insurance systems, neglected medications, and why public perception diverged so dramatically from what patients actually experienced.The episode also explores learning across disciplines, intellectual courage, prosecutors' incentives, and how public scandals evolve into legal consequences.Whether you agree with him or not, the discussion raises uncomfortable questions about business, regulation, media, and reputation.What You'll Learn:Why media narratives can shape public opinion more than factsThe real economics behind pharmaceutical pricing and insurance coverageHow entrepreneurs learn complex industries without formal trainingWhy conviction and risk tolerance are essential in investing and businessHow incentives within legal and political systems influence outcomesTimestamped Chapters:[00:02:00] “Most Hated Man in America” — Media Narratives & Reputation[00:03:11] A Note from James[00:03:45] Humor vs. Backlash: Handling Public Criticism[00:06:39] Conviction, Investing & Standing Your Ground[00:09:00] Optimism, Forgiveness & Business Relationships[00:12:08] The Pharma Controversy Begins[00:14:52] From Hedge Funds to Biotech CEO[00:17:40] Learning New Industries from Scratch[00:19:00] Staying Curious & Avoiding Fear of Complexity[00:21:00] Borrowing Knowledge Across Domains[00:23:06] How People Actually Learn Complex Skills[00:29:00] Entrepreneurship, Ego & Motivation[00:31:20] The Daraprim Pricing Decision Explained[00:34:00] Neglected Drugs & Pharma Economics[00:37:00] Profit Motive vs. Public Good[00:41:13] Why He Became the Target[00:45:00] Prosecutors, Incentives & Legal Strategy[00:47:00] Hedge Funds, Technical Violations & Trials[00:50:00] High-Profile Cases & Selective Enforcement[00:53:00] Media Attention & Personal DecisionsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AMD Inc. (AMD) surged Tuesday after Meta Platforms (META) announced a deal tentatively worth $100 billion for 6 gigawatts of computing power. Marley Kayden calls the deal a "big win" for AMD that puts the company in more direct competition with firms like Broadcom (AVGO) and Nvidia (NVDA), the latter of which also signed a deal with Meta last week. Tim Biggam offers an example options trade for AMD. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Computing resources are no longer just pieces of tech—they're scientific instruments. Moffitt Cancer Center's Jarett DeAngelis, director of scientific information technology, and Shane Corder, senior HPC engineer, join cohost Jessica StLouis, senior scientific consultant at BioTeam, to discuss new approaches changing access to HPC resources and how platforms like Open OnDemand are simplifying the HPC experience for those unfamiliar with the system. They also share their thoughts on the future of HPC resources, what the Moffitt Cancer Center is planning, and what they expect to see in the field in the coming years. Links from this episode:  Bio-IT World BioTeam Bio-IT World Europe Moffitt Cancer Center Bio-IT World's Trends from the Trenches podcast delivers your insider's look at the science, technology, and executive trends driving the life sciences through conversations with industry leaders.

- AI power needs - Small Modular Reactors (SMR) - US military, DOE, airlift small reactor - Quantum "teleportation" - How does Quantum Communication work? - Silicon photonics for quantum computing [audio mp3="https://orionx.net/wp-content/uploads/2026/02/HPCNB_20260223.mp3"][/audio] The post HPC News Bytes – 20260223 appeared first on OrionX.net.

They used to be known as personal assistants, now you can just get an AI agent to plan your day, answer your emails and organise your life. But what are the risks around handing over control of your data, messages and payment methods to the latest wave of artificial intelligence tools?Today, computer security expert at Melbourne University Shaanan Cohney on how AI agents work and how close we are to AI taking our jobs. Featured: Dr Shaanan Cohney, Senior Lecturer in Cyber Security and Deputy Head for the School of Computing and Information Systems at the University of Melbourne

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!

Analyst roundtable covering the big ideas in technology that are changing the world, with Adrian Cockcroft, Stephen Perrenod, Chris Kruell, and Shahin Khan. In this episode: - Scientific Bitcoin Institute (BSI) - Bitcoin update - AI Agents, OpenClaw - Emergent abilities in AI - Memory shortage - Super Bowl ads, Sports tech - Social Media Bans [audio mp3="https://orionx.net/wp-content/uploads/2026/02/OXD035_ART-11_20260219.mp3"][/audio] The post Analyst Roundtable: BTC Bubbles, AI Agents, Super Bowl – OXD35 appeared first on OrionX.net.

Today I have the immense pleasure of talking with Carissa Véliz, an associate professor at the University of Oxford, about her new book, Prophecy: Prediction, Power, and the Fight for the Future—from Ancient Oracles to AI.  Linking this work to her previous book, Privacy is Power: Why and How You Should Take Back Control of Your Data, Véliz writes: “ surveillance and prediction are digital technology's original sins.”In our wide-ranging discussion, we talk about how both massive and intrusive invasions of privacy at all levels of society and false claims to be able to predict the future erode democracy, are corrosive to ethics, and undermine people's ability to think for themselves.  Instead, we are conditioned to trust an unregulated band of “effective altruists” who claim to know better than we what kinds of lives we should prefer and the choices we should make.  Véliz argues instead that we should embrace the uncertain to build resilience, to prepare for contingency but not be determined by what we cannot see, and to foster curiosity and imagination.Carissa Véliz is an Associate Professor in Philosophy at the Institute for Ethics in AI, and a Fellow at Hertford College at the University of Oxford. She is the recipient of the 2021 Herbert A. Simon Award for Outstanding Research in Computing and Philosophy. She is a member of UNESCO's Women 4 Ethical AI. She advises companies and policymakers around the world on privacy and the ethics of AI. She is a board member of the Proton Foundation, along with Sir Tim Berners-Lee and Proton's CEO Andy Yen. She is the author of the highly-acclaimed Privacy Is Power (an Economist book of the year, 2020) and the editor of the Oxford Handbook of Digital Ethics. Her new book Prophecy was described as “The most important book you will read for years” by Roger McNamee, the tech investor and best selling author.

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

How does a quantum computer work? This week, Technology Now is diving into the world of quantum computing. We delve into how quantum computers work, we explore what's needed to build them and we ask what we should expect from this field of research in the future. Dr Michaela Eichinger, Product Solutions Physicist at Quantum Machines, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.About Michaela: https://www.linkedin.com/in/michaela-eichinger/?originalSubdomain=chSourceshttps://blog.sciencemuseum.org.uk/quantum-computing-what-who-how-and-when/https://www.nobelprize.org/prizes/physics/2025/press-release/#:~:text=Their%20experiments%20on%20a%20chip,passed%20a%20current%20through%20it.https://www.britannica.com/science/zero-point-energyhttps://www.space.com/how-cold-is-spaceK.W. Taconis, Dilution refrigeration, Cryogenics, Volume 18, Issue 8, 1978, Pages 459-464, ISSN 0011-2275, https://doi.org/10.1016/0011-2275(78)90204-7., (https://www.sciencedirect.com/science/article/pii/001122757890204

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

Developing practical technologies for quantum information systems requires the cooperation of academic researchers, national laboratories and industry. That is the mission of the  Quantum Systems Accelerator (QSA), which is based at the Lawrence Berkeley National Laboratory in the US. The QSA's director Bert de Jong is my guest in this episode of the Physics World Weekly podcast. His academic research focuses on computational chemistry and he explains how this led him to realise that quantum phenomena can be used to develop technologies for solving scientific problems. In our conversation, de Jong explains why the QSA is developing a range of  qubit platforms − including neutral atoms, trapped ions, and superconducting qubits – rather than focusing on a single architecture. He champions the co-development of quantum hardware and software to ensure that quantum computing is effective at solving a wide range of problems from particle physics to chemistry. We also chat about the QSA's strong links to industry and de Jong reveals his wish list of scientific problems that he would solve if he had access today to a powerful quantum computer.   This podcast is supported by Oxford Ionics.

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

A one-shot signature is a new quantum computing tool that lets people verify information publicly using a quantum signing key that destroys itself after use. This “proof of destruction” makes sure the key can only be used once, which could lead to cryptographic solutions that classical math could not achieve. Host Konstantinos Karagiannis talks with Omri Shmueli, a cryptographer and postdoctoral research fellow at NTT Research, about how one-shot signatures might change digital finance and secure communication. Shmueli shares how this technology could make decentralized cryptocurrency possible without a blockchain or help solve the big scalability problems of current blockchains by letting users create their own unique quantum money. The episode also looks at how unclonable quantum keys could give users proof that not only do they have a secret key, but they are the only person in the world who does.   For more information on the research NTT is doing, visit https://ntt-research.com/.   Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Quantum computing threatens cryptocurrency by potentially breaking the elliptic curve cryptography (ECDSA) used for signatures, allowing hackers to derive private keys from public keys and steal funds. While powerful enough machines may not arrive for 10–15 years, they pose risks to long-term Bitcoin storage, particularly old or reused addresses. ~This episode is sponsored by iTrust Capital~iTrustCapital | Get $100 Funding Reward + No Monthly Fees when you sign up using our custom link! ➜ https://bit.ly/iTrustPaulGuest: Yoon Auh, Founder & CEO of Bolts Technologies IncBolt Technologies website ➜ https://boltstechnologies.xyz/00:00 intro00:07 Sponsor: iTrust Capital00:32 Quantum FUD?01:06 Lyn Alden: Quantum Risk effecting Bitcoin price now02:20 Quantum Threat is Real06:46 TradFi vs Crypto Risks09:20 China Attacking Bitcoin?12:10 Most Vulnerable Blockchains12:45 Every Blockchain Could Upgrade14:02 Quantum Interest Growing16:09 How To Become Quantum-Safe18:30 Choose Your Own Cryptography20:50 Everything is an educated guess22:39 Private Keys in the future23:54 Value Premium for Quantum Resistant Blockchains24:55 American Standard is dead27:10 U.S. Leadership28:30 outro#quantum #Bitcoin #Crypto~Quantum Threat vs Crypto

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.

English Edition: with my guests Bernd Ulmann and Daniel Thuerck I am looking at the fascinating world of analog computers. Far from being "yesterday's" machines, there is a lot of interest in building analog devices. So what are they, what are they used for, and how do you work with them. Links:https://anabrid.com/ https://the-analog-thing.org https://anabrid.com/redachttps://shop.anabrid.com/collections/lucidac https://www.analogmuseum.org/english/ https://www.oreilly.com/library/view/analog-and-hybrid/9783110787887/  Bernd Ulmann's bookhttps://analog-computing-days.org/  The Analog Computing Days conference in Frankfurt am Main, Germany 11/12 June 2026https://collection.sciencemuseumgroup.org.uk/objects/co64127/phillips-economic-computer  The Phillips MONIAC analog computer at the Science Museum in London https://en.wikipedia.org/wiki/Phillips_Machine https://www.econ.cam.ac.uk/news/2022/trickle-down-economics-phillips-machine-shows-how-macroeconomy-flows https://www.sciencemuseum.org.uk/objects-and-stories/charles-babbages-difference-engines-and-science-museum Part of the Difference Engine by C Babbagehttps://en.wikipedia.org/wiki/Slide_rule a simple "analog computer"  https://research.ibm.com/projects/analog-ai https://en.wikipedia.org/wiki/Analog_computer https://research.ibm.com/projects/analog-ai Research into analog computers at IBMGet in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören! Contact Details/ Coordonnées / Kontakt: Email mailto:peter@code4thought.org UK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.social LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

Decisions outsourced, chatbots for friends, the natural world an afterthought: Silicon Valley is giving us life void of connection. There is a way out – but it's going to take collective effort By Rebecca Solnit. Read by Laurel Lefkow. Help support our independent journalism at theguardian.com/longreadpod

- "Ride the Wave, Build the Future: Scientific Computing in an AI World", by Dongarra, Reed, Gannon - Call for National Moonshot Program for future HPC systems - DOE Genesis Mission, 26 Challenges for National Science and Technology - NSF $100M National Quantum and Nanotechnology Infrastructure, NQNI - State of The Quantum Computing Industry - Los Alamos National Laboratory Center for Quantum Computing [audio mp3="https://orionx.net/wp-content/uploads/2026/02/HPCNB_20260216.mp3"][/audio] The post HPC News Bytes – 20260216 appeared first on OrionX.net.

The government's proposing a first-ever official Thames bathing spot at Ham and Kingston — which is either progress or the start of a new kind of group chat argument. Then: the UK moves to pull AI chatbots into the Online Safety net, with child-safety rules catching up to fast-moving tech. Also, Oxford researchers find public support for health-data sharing for AI is real — but only if the safeguards are, too. After the break, MIT shows off computing that uses waste heat instead of electricity, Google warns the EU about building “tech sovereignty” walls, and in gaming, 007 First Light drops a new story trailer. We finish with Sony's new WF-1000XM6 earbuds — priced like a Zone 1 lunch, but aimed straight at your commute. For more on all of it, head to standard.co.uk Hosted on Acast. See acast.com/privacy for more information.

Jaim Harlow X https://x.com/jaim_harlowhttps://syronastore.org/?ref=TRUTHSTREAMhttps://www.syrona.org/https://linktr.ee/truthstreamSilicone Valley insider, visionary and pioneer Jaime Harlow is back with astounding insights into Palantir, A.I., and quantum computing and other topics.

Rachel Wilken, Associate Faculty at the Luddy School of Informatics, Computing and Engineering, Indianapolis, discusses informatics, UX and AI. During our conversation, Rachel mentioned that she started Columbus Design Collective.

What if the computer on your desk disappeared, but everything still worked better?At CES, HP introduced the EliteBoard, a fully functional AI-powered PC built directly into a keyboard. Marc Aflalo speaks with Caleb Flemming, Sr. Manager, BPS NPI Leads Team at HP, about how the idea emerged, why traditional all-in-one desktops created long-term problems for IT teams, and how rethinking the form factor unlocked a cleaner, more flexible workspace. By moving compute hardware into the keyboard itself, HP separates the lifecycle of the display from the PC, simplifies deployment, and removes unnecessary hardware for workers who rarely open a laptop screen. The result is a compact device designed for call centers, front desks, shared workspaces, and enterprise environments where simplicity, serviceability, and security matter most. Despite its size, EliteBoard delivers full enterprise performance, including modern graphics, local AI processing, high-capacity memory and storage, Windows 11 Pro, advanced connectivity, optional battery support, and user-upgradeable components. It is also designed with accessibility in mind, improving key visibility, tactile feedback, and usability for low-vision and screen-reader users. The discussion also explores real-world enterprise use cases, on-device AI features like accent neutralization for call centers, strong reception and awards at CES, and HP's broader 2026 device strategy across EliteBooks, connectivity, and mobile productivity. This episode examines a simple question with major implications:What happens when the computer disappears into the tools you already use? Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Zaboravite sve što znate o procesorima: Ovako nastaje hardver koji sam 'uči' vaš softver i menja pravila igre u svetu superračunara. U prvoj epizodi serijala specijala posvećenih kompaniji Next Silicon, gost je Eyal Nagar, jedan od osnivača i potpredsednik za istraživanje i razvoj. Eyal objašnjava kako je čitavu svoju karijeru, dugu više decenija i ispunjenu radom na revolucionarnim projektima u kompanijama kao što je Intel, gradio upravo za ono što danas stvara u Next Siliconu. Razgovaramo o tome kako je nastala ideja za hardver koji se u realnom vremenu prilagođava softveru, zašto su klasični procesori i grafičke karte dostigli svoje limite i na koji način njihovo rešenje donosi revoluciju u svet superračunara i naučnih istraživanja. Eyal nas vodi kroz osmogodišnje putovanje razvoja – od prvih simulacija, preko izazova i "porođajnih muka" sa prvim čipovima, do stvaranja Maverick 2 sistema koji danas pomera granice mogućeg. Poseban deo razgovora posvećen je kancelariji u Beogradu. Otkrivamo zašto ona nije samo "još jedan" tim za podršku, već ključni deo globalne slagalice, sposoban da samostalno razvije kompletan proizvod, i kako je u Srbiji pronađen vrhunski talenat koji je neophodan za ostvarenje ovako ambiciozne vizije. Podržite nas na BuyMeACoffee: https://bit.ly/3uSBmoa Pročitajte transkript ove epizode: https://bit.ly/4abj48R Posetite naš sajt i prijavite se na našu mailing listu: http://bit.ly/2LUKSBG Prijavite se na naš YouTube kanal: http://bit.ly/2Rgnu7o Pratite Pojačalo na društvenim mrežama: FB: https://www.facebook.com/PojacaloRS/ IG: https://www.instagram.com/pojacalo.rs/ X: https://x.com/PojacaloRS LN: https://www.linkedin.com/company/pojacalo TikTok: https://www.tiktok.com/@pojacalo.rs

On his episode of That Tech Pod, Kevin and Laura sit down with Ray Biederman, CEO and Co-Founder of Proteus Discovery Group, to talk about what actually happens when legal theory, technology, and human behavior collide. Ray walks through his unusual path from music education to law to legal tech, and how that background shaped the way he thinks about systems, judgment, and risk. Rather than chasing hype, he explains why Proteus focuses on defensible outcomes and practical decision-making in a crowded eDiscovery market.The conversation gets into lessons Ray has learned by wearing every hat, product builder, services leader, and still-practicing attorney. He shares what courtroom experience teaches that product teams often miss until something breaks, especially around context, intent, and how small mistakes compound once data starts moving. Ray also offers a measured take on AI-driven review, warning against the industry's tendency to overcorrect by trying to remove human judgment entirely, and highlights the ethical tensions that surface when AI reveals patterns no one anticipated. The episode closes with a forward-looking discussion on deepfake evidence, verification challenges, and the growing risk posed by data traveling across too many systems without enough accountability. Ray Biederman, Chief Executive Officer and Co-Founder of Proteus Discovery Group, LLC, has worked in every phase of electronic discovery for more than two decades. He is a Super Lawyer in the area of eDiscovery, has been cited in multiple court opinions as an expert witness, and is adjunct faculty for eDiscovery at the IUPUI School of Informatics and Computing. He consults on Information Governance policies and procedures related to cybersecurity and its intersection with government regulation and industry-specific best practices. Outside of his eDiscovery experience, Ray is an active litigator representing clients in product liability work, business valuation disputes, and contract disputes. He is also a founding partner in Mattingly Burke Cohen & Biederman. He was previously an associate at Barnes & Thornburg, LLP. He holds a B.M. in Music Education from Butler University and a J.D from Indiana University, the Robert H. McKinney School of Law.

In this episode of The Dairy Podcast Show, Dr. Karun Kaniyamattam from Texas A&M University breaks down how decision modeling and artificial intelligence can support real-world dairy management. He shares practical examples of how data streams, genetic indices, and modeling tools can improve disease control, labor efficiency, and long-term profitability without adding unnecessary complexity. Listen now on all major platforms."Decision modeling helps evaluate trade-offs that occur when balancing animal health, productivity, environmental responsibility, and farm profitability."Meet the guest: Dr. Karun Kaniyamattam is an Assistant Professor of Livestock Data Analytics and Artificial Intelligence at Texas A&M AgriLife Research. Trained as a veterinarian, he focuses his work on decision modeling, artificial intelligence, and sustainable dairy cattle systems. His research integrates animal health, economics, and production to support better farm-level decisions. Liked this one? Don't stop now — Here's what we think you'll love!What you'll learn:(00:00) Highlight(01:43) Introduction(12:16) Decision modeling(14:45) Systems thinking(17:43) Computing power(19:50) AI definition(23:47) Surprising insights(28:01) Final three questionsThe Dairy Podcast Show is trusted and supported by innovative companies like:* Priority IAC* Adisseo* Agri-Comfort* Jones-Hamilton Co.* Lallemand* CowManager* Afimilk* Evonik- BoviSync- Berg + Schmidt- Natural Biologics- Agrarian Solutions- AHV- dsm-firmenich- Protekta- DietForge

- Sovereign AI: what is it, and does anyone have it? - Bullish on Eviden: Europe's top system company restores old name - Intel to build server GPUs of its own - MIT Technology Review AI Predictions [audio mp3="https://orionx.net/wp-content/uploads/2026/02/HPCNB_20260209.mp3"][/audio] The post HPC News Bytes – 20260209 appeared first on OrionX.net.

From Literacy to Savviness: Rethinking How We Learn with AI (EP:45) With Chris Minter, PHD How do we stay thoughtful, skilled, and grounded as AI accelerates faster than our instincts can adapt? In this episode, we explore the shift from simply knowing about AI to becoming truly savvy in how we use it. Chris Minter invites us to consider how contextual inputs, desired outputs, and intentional engagement shape our ability to think clearly in an age of intelligent tools. Together, we examine the balance between efficiency and depth, the risks of over‑reliance and “AI slop,” and the importance of protecting our own voice, judgment, and craftsmanship as educators and learning leaders. Questions? Feedback? Ideas? Contact us at edufi@mayo.edu Audio Editing: Celina Bertoncini Additional Resources: Conrad, K., & Kamperman, S. (2025). Building critical AI literacy: An approach to generative AI. Thresholds in Education, 48(2), 142–158. Open PDF: https://academyforeducationalstudies.org/wp-content/uploads/2025/09/conrad-kamperman-final-1.pdf Biagini, G. (2025). Towards an AI‑literate future: A systematic literature review exploring education, ethics, and applications. International Journal of Artificial Intelligence in Education, 35, 2616–2666. Mills, K., Ruiz, P., Lee, K., Coenraad, M., Fusco, J., Roschelle, J., & Weisgrau, J. (2024). AI literacy: A framework to understand, evaluate, and use emerging technology. Digital Promise Sun, Y. (2026). Conceptualizing critical AI literacy in writing education: Power dynamics in Chinese EAL students' negotiations with GenAI. Applied Linguistics Review. Advance online publication. Aleman, E., Martínez, R., Dilek, M., & Baran, E. (2025). Directions for navigating critical AI literacy in teacher education. Journal of Computing in Higher Education, 37, 1460–1488. Wulff, P., & Kubsch, M. (2025). Learning against the machine: The double‑edged sword of (Gen)AI in STEM education. International Journal of STEM Education, 12, Article 66. Deep, P. D., & Chen, Y. (2025). The role of AI in academic writing: Impacts on writing skills, critical thinking, and integrity in higher education. Societies, 15(9), 247. Oc, Y., Gonsalves, C., & Quamina, L. (2025). Generative AI in higher education assessments: Examining risk and tech‑savviness on student adoption. Journal of Marketing Education, 47(2), 138–155. Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernández‑Leo, D., Järvelä, S., Mavrikis, M., & Rienties, B. (2025). The promise and challenges of generative AI in education. Behaviour & Information Technology, 44(11), 2518–2544.

In this episode, host Stephen Ibaraki interviews Dr. Vassil Dimitrov, Professor in the Department of Electrical and Computer Engineering at the University of Calgary. Dr. Dimitrov shares his journey, his lifelong passion for mathematics, and groundbreaking perspectives on AI, analog computing, quantum technology, encryption, and brain-inspired hardware.

February 4, 2026: Vacuum Tube Computing

Explore the high-stakes world of quantum venture capital. Host Konstantinos Karagiannis sits down with Kike Miralles, Investment Director at Intel Capital. Moving beyond surface-level hype, Miralles introduces his “five-layer stack” philosophy — a strategic framework that evaluates everything from physical infrastructure and QPUs to middleware and end-user applications. He shares candid insights into why Intel Capital favors Series A and B rounds, how his background in physics helps him spot “miracles” required for a startup to succeed, and why he believes the quantum computing industry shifted gears so aggressively toward error correction and logical qubits in 2025.   It's a masterclass in “revenue realism” as Miralles discusses the complex transition from consulting-heavy pilots to scalable SaaS models in quantum. The conversation dives into the wiring bottleneck of solid-state platforms, the skepticism surrounding QKD versus post-quantum cryptography, and the potential for a killer app at the intersection of quantum simulation and AI in the pharmaceutical industry. Whether you are an entrepreneur looking to avoid red flags or a tech enthusiast curious about who might become the Nvidia of quantum, this episode provides a grounded, expert look at the roadmap to a multi-billion dollar quantum future.   For more information on Intel Capital, visit https://www.intelcapital.com/.     Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

THE AI WINTER Colleague Gary Rivlin. The history of Frank Rosenblatt's neural networks, their dismissal by Marvin Minsky in favor of rules-based computing, and the decades-long "winter" before the resurgence of machine learning. NUMBER 11