Podcasts about Computing

Infleqtion CEO Matt Kinsella goes Inside the ICE House to discuss the company's dual focus on quantum sensing and quantum computing and how that is driving early revenue growth. He explains how Infleqtion's core technology enables a range of products, from sensors already deployed today to future quantum computers with massive potential. Kinsella highlights the importance of balancing near-term commercialization with long-term R&D to accelerate real-world quantum applications. He also explores how advances in quantum could reshape industries, from communications to defense to financial markets.

In this episode: - Massive IPOs, AI, market implications - SpaceX IPO - AI in IoT: Connectivity to Intelligence - AI coding - “No Man's Land” and AI in management - Startups and AI-driven business models - Where to locate your data center - Crypto mining's expansion into AI and HPC - Bitcoin treasury companies - Scientific Bitcoin Institute [audio mp3="https://orionx.net/wp-content/uploads/2026/06/OXD037_ART-13_20260519.mp3"][/audio] The post Analyst RoundTable: IPOs, AI, BTC- OXD37 appeared first on OrionX.net.

In our second anniversary episode, we chat with Sean from Advent of Computing about Russian internet blocks and much more!Car4Ukraine Eastern Border Summer Campaign! https://car4ukraine.com/campaigns/summer-sunshine-trucks-2026-eastern-borderYouTube link:https://youtu.be/lsAWKr5G3cwOh, and news episode tomorrow!Support this show http://supporter.acast.com/theeasternborder. Hosted on Acast. See acast.com/privacy for more information.

The data facility will use AI to comb data sets stored at Department of Energy research centers across the country. Officials say it will speed up scientific discoveries.

Are we prepared for the deployment of a functional quantum computer? This week, Technology Now is returning to the topic of post quantum cryptography. We ask why the deadline for migrating to PQC enabled systems has been moved up, we discover what a quantum computer actually needs to be cryptographically relevant, and we pose the question: when it comes to migrating your systems to quantum resistant forms of encryption, could it already be too late for some people to start?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.

Is the ultimate cryptocurrency ticking toward a sudden, quantum-powered collapse? In this episode, Chris Tam, President and Head of Innovation at BTQ, joins host Konstantinos Karagiannis to shatter the comforting illusions many Bitcoiners still hold about the quantum computing threat. While many assume that a Q-Day attack would only disrupt future mining, Tam exposes the true, terrifying reality: Quantum computers utilizing Shor's algorithm are on an exponential trajectory to cracking the elliptic curve cryptography that safeguards individual wallets. Even worse, recent upgrades like Taproot have inadvertently introduced more vulnerable public keys into the ecosystem, making a network upgrade more complex than ever.The real crisis isn't just finding a cryptographic fix: it's time. Experts warn that migrating the entire decentralized Bitcoin network to a post-quantum standard could take upwards of seven years, but the network simply lacks the block space to move everyone before quantum adversaries are predicted to break the encryption. To bypass the political gridlock of Bitcoin core development, Tam details how BTQ surgically built a working, post-quantum Bitcoin Quantum testnet to experiment with solutions like BIP 360 in the real world. From the catastrophic ripple effects a Bitcoin hack would have on traditional financial markets to BTQ's pioneering work on day-one quantum-resistant stablecoins in South Korea, this episode is an urgent, eye-opening wake-up call for anyone holding digital assets.For more information on BTQ, visit www.btq.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             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.  

Engineering a solution is one thing; making it work in a high-stakes clinical environment is another. This panel discussion features the minds who build the tech and the hands that use it. Leading bioengineers and frontline clinicians from NYU, NYU Abu Dhabi, the University of Michigan and the University of Maine deconstruct the challenges of medical device innovation. The topics include glaucoma and other chronic diseases such as metabolic, cardiovascular, and neurologic diseases. The discussion also touches on AI, robotics, and wearable technology to improve patient care. Panel Members Andreas Hielscher, Professor of of Biomedical Engineering, NYU Tandon School of Engineering Shy Shoham, Professor of Neuroscience and Ophthalmology, NYU School of Medicine and Tech4Health Giovanna Guidoboni, Professor of Electrical and Computer Engineering and Dean of Engineering and Computing, University of Maine Manjool Shah, Clinical Associate Professor of Ophthalmology and Visual Sciences and Associate Chair of Innovation, University of Michigan Sefy Paulose Joshi, Assistant Professor of Ophthalmology, NYU Langone Health Moderated by Yong-Ak (Rafael) Song, Professor of Mechanical Engineering and Bioengineering and 19 Washington Square North Faculty Fellow, NYUAD

Follow Ryan: https://bsky.app/profile/standardissuecomputing.blog Read Standard Issue Computing: https://standardissuecomputing.blog/   Thank you to our Golden Banana (and above) tier patrons: n00sh, Lee, Andrew, Matty Support us on Patreon: https://www.patreon.com/Flashback64   Find us Online: https://flashback64.neocities.org Merch: https://www.etsy.com/shop/Flashback64 Discord: https://discord.gg/2ckdah6VTC Twitch: https://www.twitch.tv/flashback64pod Bluesky: https://bsky.app/profile/flashback64.bsky.social YouTube: https://www.youtube.com/@Flashback64Pod Email: flashback64pod@gmail.co   McKenna: https://linktr.ee/mckliz Gooey: https://www.youtube.com/c/gooeyfame Artwork by Corey Richmond Theme by Andrew Elmore: https://satellitesound.net   We are part of the Sound Stone Podcast Network! Listen to Kirby Conversations: https://linktr.ee/kirbyconversations Listen to Pixels and Polygons: https://rss.com/podcasts/pixelspolygons Watch Instruction Derby: https://www.twitch.tv/nicmcconnell

- Microsoft Build: AI-native software, new chips, quantum progress - Microsoft Maia 200, Cobalt 200, Majorana 2 - Nvidia's Windows PC push and RTX Spark - Europe's proposed CADA, AI Act, AI Continent Action Plan - Global AI strategies: US, China, Canada, India, Japan, and Europe [audio mp3="https://orionx.net/wp-content/uploads/2026/06/HPCNB_20260608.mp3"][/audio] The post HPC News Bytes – 20260608 appeared first on OrionX.net.

The world's first prefabricated computing center base has begun operation in Qingdao, east China's Shandong Province, offering faster construction, lower costs and reduced land use compared with traditional facilities.

Episode Topic: Generative ComputingMove beyond experimental chatbots and toward a robust IT stack capable of supporting autonomous agents. Sriram Raghavan, VP of AI Research at IBM, dismantles AI hype to reveal the “Generative Computing” paradigm. Learn why 95% of AI pilots fail and how a principles-based approach—leveraging small, fit-for-purpose models and rigorous governance—can transform enterprise uncertainty into secure, scalable, and efficient agentic applications.Featured Speakers:Sriram Raghavan, IBMRead this episode's recap over on the University of Notre Dame's open online learning community platform, ThinkND: https://go.nd.edu/308d51.This podcast is a part of the ThinkND Series titled RISE AI. Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career.Learn more about ThinkND and register for upcoming live events at think.nd.edu.Join our LinkedIn community for updates, episode clips, and more.

Professor Alan Smeaton, Professor of Computing at DCU

1. Beijing approves space computing industry innovation center 2. China services trade fair to debut support zone for firms expanding overseas 3. China's Unitree Robotics clears STAR Market listing review

Sino e Dom tornano finalmente per un nuovo episodio tra 2 giugno e 80 anni di repubblica italiana, i catastrofismi annunciati dai media nelle settimane precedenti che non si sono avverati, la situazione carburante e compagnie aeree tra risultati record e possibili fallimenti, l'importanza dell'hedging finanziario, la strana crisi delle banane in Giappone, la notizia terribile dell'attacco terroristico a Modena e la situazione in Italia dell'integrazione tra realtà e falsi miti, tra successi e pericoli e tra empatia suicida e buonismo naive. Infine notizie che lasciano ben sperare: torna il nucleare in Italia? Come funzionano i nuovi reattori al torio, il problema del mantenimento della rete elettrica, come le famiglie potranno realmente risparmiare in bolletta e le batterie in silicone allo stato solido. Si passa poi all'avvento del computing fotonico: la tecnologia passa alla velocità della luce e quello che ne conseguirà, Neuralink impianta il primo chip visivo per dare la vista ai ciechi e si espandono i programmi di BCI (Brain - Computer interface) per ridare mobilità ai tetraplegici, genomica e medicina personalizzata e ancora di più la laboriosità e il ruolo umano in un mondo sempre più avanzato tra paradossi e innovazioni incredibili.(00:00:00) Intro(00:05:57) 80esimo anniversario della repubblica italiana(00:07:18) I catastrofismi mediatici che non si sono avverati(00:08:01) Carburante, vacanze e compagnie aeree(00:11:11) Cos'è l'hedging finanziario(00:14:43) Notizie giapponesi(00:16:27) Ritorna il nucleare in Italia? Il futuro della tecnologia energetica(00:18:33) Perché il nucleare non risolverà i prezzi dell'energia ai cittadini(00:20:56) L'attentato a Modena(00:28:29) L'integrazione in Italia(00:30:19) L'empatia suicida in occidente e il buonismo naive(00:42:02) Spesa pubblica e perché tassare ulteriormente i super ricchi è matematicamente inefficace(00:44:41) Computing fotonico e come rivoluzionerà la tecnologia(00:47:56) Neuralink dà la vista ai ciechi e ridà la mobilità ai tetraplegici(00:49:00) Genomica e ricerca scientifica in silica(00:49:43) L'incredibile dote degli esseri umani(00:51:50) Il paradosso tecnologico sull'umanità(00:54:13) Risolvere problemi globali e migliorare la condizione umana(01:01:32) Situazione in CinaApri il link per sottoscrivere ad un piano Zencastr usufruendo dello sconto Expatriati del 30%https://zen.ai/u1PcslG4r8g7s1ZYsg35qw

Theo Jaffee speaks with Steven Sinofsky about the next generation of personal computing and the growing role of AI-native hardware. The conversation covers NVIDIA's entry into the PC market, Microsoft's strategy for AI-powered devices, Apple's hardware roadmap, and the long-running tension between backward compatibility and platform reinvention. Sinofsky explains why AI may fundamentally change how personal computers are designed, and why local inference could become increasingly important as AI workloads grow. Along the way, they discuss Windows, Surface, Arm processors, Apple Silicon, and what the future of computing might look like as AI shifts from the cloud to devices. Resources: Find Steven on X: https://x.com/stevesi Find Theo on X: https://x.com/theojaffee Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Business and finance news from the Asia-Pacific. Asian shares eased from record highs and oil held gains as efforts to revive a peace deal with Iran showed little progress. Even as the AI-driven rally continues to propel equities to record highs, financial markets have been whipsawed by geopolitical headlines after an escalation in Middle East hostilities jeopardized peace negotiations. For more on the markets, we heard from Willem Sels, Global CIO at HSBC Private Bank and Premier Wealth. He spoke to Bloomberg TV hosts Paul Allen and Haidi Stroud-Watts. Plus - COMPUTEX 2026 is themed "AI Together", focusing on three main topics: AI & Computing, Robotics & Mobility, and Next-Gen Tech—creating the ideal platform for global tech leaders to find international partners. CEOs from the world's leading technology companies will be in Taipei to discuss the outlook for AI and semiconductor demand. Bloomberg's Stephen Engle spoke to Craig McDonnell, ABB Robotics Business Line Managing Director Industries.See omnystudio.com/listener for privacy information.

Back in 1962, the Tornados released "Telstar" a spaced out instrumental written and produced by Joe Meek. It was the First Record by a British Rock Group to Reach Number One in the US Hot 100 and it set Meek apart from the record producers of his time. We explore "Telstar" and the Meek's career and legacy, from ingenuity to outer space to paranoia and beyond. Plus, a jaw-clenching Mouthgarf Report and I See What You Did There! Sources: https://en.wikipedia.org/wiki/Telstar_(instrumental) https://en.wikipedia.org/wiki/Joe_Meek https://en.wikipedia.org/wiki/I_Hear_a_New_World https://www.tinymixtapes.com/news/joe-meeks-pop-masterpiece-i-hear-a-new-world-gets-the-chance-to-haunt-a-whole-new-generation-of https://open.spotify.com/album/2icihEwgiDuWvCL80YlWCb?si=7nQM4ZV8Se6gbmq-WmTVTg https://open.spotify.com/track/6W5mQNW9bBqPdZq8RmJeVm?si=b153299c18ea49c7 Please give us a 5 star rating on Apple Podcasts!  Want to ask us a question? Talk to us! Email debutbuddies@gmail.com Listen to Kelly and Chelsea's awesome horror movie podcast, Never Show the Monster. Get some sci-fi from Spaceboy Books. Get down with Michael J. O'Connor and the Cold Family and check out his new compilation The Best of the Bad Years 2005 - 2025 Next time: First Steven Spielberg Film

- Huawei's Tau Scaling, LogicFolding: breakthrough or brilliant positioning? - China's new tech disclosure strategy continues - Wafer-scale chips in China? - Snowflake's $6B AWS deal and what it says about AI inference demand - The Return of CPU Computing - NVIDIA's CPU-only Vera-based Supercomputer and the rise of agentic AI infrastructure - OpenAI math breakthrough and what it says about AI-assisted discovery [audio mp3="https://orionx.net/wp-content/uploads/2026/05/HPCNB_20260601.mp3"][/audio] The post HPC News Bytes – 20260601 appeared first on OrionX.net.

I've been browsing old compur surveys and trying to build up a comprehensive data set. What I've found is a little surprising: between late 1945 and 1949 only 10 new computers entered service. Once we get to the 50s that number explodes. What's going on here? What caused the gap between the first digital machines and the explosion of computers in the 50s? In this episode I try to answer that question by finding out just what was going on during this digital gap. Like Advent of Computing? Then check out the after show! Adjunct of Computing is now LIVE: YouTube Spotify Apple Podcasts

Episode 1: When CD-ROMs Ruled the Earth Step into the early 1990s, when CD-ROMs and Multimedia PCs were the new and exciting thing in the world of Macintosh and Windows-based computers. I talk about the new format for the show, and refocussing on the culture and technology of the 1990s. I reply to some long overdue listener mail, and talk about the exciting new future for multimedia in 2026 with the CD-ROM.ca Encartapedia. Links mentioned in the episode: kiki - a homepage construction set Utopian Scholastic - Michael Wolf

Saturday May 30th, 2026. The season finale of Multimedia Hyperguide podcast, where I say goodbye to the show as it was, and say hello to the upcoming season 2!

Misha Glenny and guests discuss cybernetics – the field of study which gave us the prefix ‘cyber' and helped lay the foundations for the information age. After the Second World War, cybernetics emerged as the study of communication, feedback, and control in both animals and machines. Cybernetics was first defined in 1948 by the American mathematician Norbert Wiener (1894-1964) and aimed to find a shared universal language which could be used across disciplines. The name drew on an Ancient Greek word for steersman, the person who stands at the helm of a ship to steer or govern its course. Cybernetics saw the world as systems which used loops of information and feedback to adjust their own course of action. Those ideas could be applied to anything from thermostats to the human brain, and arguably laid foundations for the information age.WithJacob Ward Historian of science and technology at Maastricht UniversityJon Agar Professor of Science and Technology Studies at University College LondonAndOrit Halpern Lighthouse Professor and Chair of Digital Cultures at Technische Universität DresdenProducer: Martha OwenReading list:Peter Galison, 'The ontology of the enemy: Norbert Wiener and the cybernetic vision' (Critical Inquiry 21, 1994)Slava Gerovitch, From Newspeak to Cyberspeak: A History of Soviet Cybernetics (MIT Press, 2004)Orit Halpern, Beautiful Data: A History of Vision and Reason (Duke University Press, 2015)Orit Halpern, Robert Mitchell and Bernard Dionysius Geoghegan, The Smartness Mandate: Notes toward a Critique (Grey Room 68, 2017) Orit Halpern, Financializing Intelligence: On the Integration of Machines and Markets (e-flux, March 2023)N. Katherine Hayles, How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics (University of Chicago Press, 1999)Steve J. Heims, John Von Neumann and Norbert Wiener, From Mathematics to the Technologies of Life and Death (MIT Press, 1980)Ronald R. Kline, The Cybernetics Moment: Or Why We Call Our Age The Information Age (Johns Hopkins University Press, 2015)Eden Medina, Cybernetic Revolutionaries: Technology and Politics in Allende's Chile (MIT Press, 2011)David A. Mindell, Between Human and Machine: Feedback, Control, and Computing before Cybernetics (Johns Hopkins University Press, 2004)Andrew Pickering, The Cybernetic Brain: Sketches of Another Future (University of Chicago Press, 2010)Norbert Wiener, The Human Use of Human Beings: Cybernetics and Society (first published 1950; Da Capo Press, 1988)In Our Time is a BBC Studios productionSpanning history, religion, culture, science and philosophy, In Our Time from BBC Radio 4 is essential listening for the intellectually curious. In each episode, host Misha Glenny and expert guests explore the characters, events and discoveries that have shaped our world.

Quantum technical debt is the idea that some devices cannot be upgraded to PQC. In this episode, Thorsten Stremlau, a Systems Principal Architect at NVIDIA and Co-Chair of the Trusted Computing Group (TCG) Marketing Work Group, joins host Konstantinos Karagiannis to discuss the critical role of hardware roots of trust in protecting against the quantum computing threat. Stremlau outlines the challenges of integrating heavier PQC algorithms into resource-constrained chips like the Trusted Platform Module (TPM), highlighting technical hurdles such as increased computational intensity, memory bloat, and heightened vulnerability to side-channel and denial-of-service attacks. To counter these quantum threats while maintaining historical stability, the TCG has released the TPM 2.0 library version 1.85 paired with the platform specification 107. This combination leverages built-in crypto-agility to implement mature algorithms like ML-KEM and ML-DSA, while still supporting hybrid classical-quantum models to ensure a smoother migration path for enterprises. However, Stremlau issues a stark warning regarding the industry's timeline and the reality of quantum technical debt, revealing that achieving full PQC readiness will require a complete hardware replacement rather than simple in-field firmware updates. Government entities are aggressively mandating PQC compliance for procurement by 2027. But the enterprise sector, particularly critical infrastructure and server environments, faces an incredibly long transition cycle due to a traditional preference for operational stability over rapid upgrades. While a PQC-ready TPM is a foundational piece of the puzzle that secures firmware signing, boot processes and platform attestation, it is not a silver bullet. True quantum resilience requires a defense-in-depth strategy where the entire software and data ecosystem, including AI workloads, edge networks and data pipelines, is systematically upgraded alongside the hardware foundation.  For more information on Trusted Computing Group, visit https://trustedcomputinggroup.org/. 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             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.  

- CHIPS Act awards for Quantum Tech - IBM foundry for superconducting quantum - Global Foundries factory for various quantum modalities - NSF X-Labs, other initiatives - Emergence of what might be called a National Discovery Infrastructure - Cerebras IPO - IPO Mania: SpaceX, OpenAI, Anthropic - ~$650B: Just 4 hyperscalaers's announced AI investments for 2026 - Intel + Tenstorrent acquisition rumors and implications [audio mp3="https://orionx.net/wp-content/uploads/2026/05/HPCNB_20260525.mp3"][/audio] The post HPC News Bytes – 20260525 appeared first on OrionX.net.

In this episode, Cherise is joined by Sam Miller, Partner, and Stephen DeMayo, Principal at LMN Architects in Seattle, Washington. They discuss the Stanford Computing and Data Science Building at Stanford University in Palo Alto, California.You can see the project here as you listen along.At the heart of Stanford University, where historic arcades meet the evolving ambitions of a research-driven campus, the Computing and Data Science (or CoDa) building emerges as both a physical landmark and an intellectual crossroads. The Hive stair, rendered in Stanford's signature red, is more than circulation—it is a symbol. Its perforated guardrails subtly encode 8-bit binary patterns, transforming a foundational language of computing into a tactile architectural expression. As users move through the space, the stair animates the building, embodying the dynamic, interconnected nature of data science itself.If you enjoy this episode, visit arcat.com/podcast for more.If you're a frequent listener of Detailed, you might enjoy similar content at Gābl Media.Mentioned in this episode:Social Channel Pre-rollPromotes the YouTube channel, ARACTemy, and social handle.

Noise is the enemy of many computing paradigms. Conventional computers are power hungry because they must operate at energy levels well above those of electronic fluctuations in silicon. The problem is much more acute in quantum computing, where noise is a significant barrier to creating practical processors. But what if we could use noise as a computational resource? That is the idea behind thermodynamic computing – which is the focus of this episode of the Physics World Weekly podcast. My guest is the theoretical physicist Stephen Whitelam – who joins me down the line from Lawrence Berkeley National Laboratory in the US. “Generative Thermodynamic Computing” by Stephen Whitelam

Author Jennifer Ashlock discusses the article, "Unequal Pathways: Family Background and Youth Computing Aspirations" published in Socius: Sociological Research for a Dynamic World.

What connects IBM, the NSA, the Third Reich, and high fidelity recordings of symphonies? The answer is: magnetic drum memory. Join me as I lose all track of scope and plot to discovery just how and why magnetic drum memory was invented. Like Advent of Computing? Then check out the after show! Adjunct of Computing is now LIVE: YouTube Spotify Apple Podcasts

UT San Antonio's new College of AI, Cyber and Computing is being positioned as a major workforce engine for a city increasingly focused on cybersecurity, data science, artificial intelligence and advanced computing.

From Double-Wide Racks to "Deep Space RISC-V" - HPE Juniper Broadcom AMD Helios - OCP Open Rack Wide - Sale-up on Ethernet, UALoE - China signals strength - China's Jiuzhang 4.0 photonic quantum computer - High Availability and "Rad-Hard” chips in space - NASA's New Radiation-Hardened AI Processor [audio mp3="https://orionx.net/wp-content/uploads/2026/05/HPCNB_20260518.mp3"][/audio] The post HPC News Bytes – 20260518 appeared first on OrionX.net.

What happens when an Air Force engineer with experience in intelligence, venture capital, and deep tech startups starts applying quantum-inspired computing to some of the hardest problems in aerospace and defense? In this episode of Tech Talks Daily, I sat down with Nathan Mason, VP of Strategic Growth at BQP, to unpack how quantum-inspired software is already helping organizations solve massive computational challenges without waiting years for fully mature quantum hardware. Nathan shared his fascinating career journey from military service after 9/11 through the intelligence community, business school, venture investing, and ultimately into the world of advanced simulation and optimization. He emphasized how data-driven thinking shaped his approach to high-stakes decision making and why gut instinct alone no longer suffices in an era driven by AI, complex systems, and operational risk. His insights provide valuable guidance for those interested in careers at the intersection of tech and aerospace. We also explored a question many business leaders are asking right now: what does "quantum in practice" actually look like today? Nathan explained how BQP is applying quantum-inspired approaches on existing CPUs and GPUs to improve simulation accuracy, accelerate modeling workloads, and help aerospace organizations make faster, smarter engineering decisions without simply throwing more hardware at the problem. This shows the tangible progress already happening, inspiring the audience with real-world impact. The discussion also tackled the commercial realities behind deep tech innovation. Nathan spoke candidly about the funding challenges facing startups working in quantum and defense technologies, emphasizing that moving beyond theory into operational deployment is difficult but achievable. This perspective encourages the audience to see obstacles as opportunities for innovation and persistence. Toward the end of the episode, Nathan shared thoughtful advice for students, engineers, and professionals looking to build careers in AI, aerospace, quantum, and defense. His message was simple but powerful: stay curious, keep learning, and never underestimate how a single conversation can completely change your career trajectory. If you've ever wondered how quantum computing moves from science fiction headlines into real-world business value, this episode offers a practical and honest perspective on how quantum-inspired software is already making a difference in aerospace and defense industries today. Useful Links Connect with Nathan Mason on LinkedIn Learn More about BQP Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

What if the timelines for world-changing quantum computing aren't dictated only by hardware manufacturers, but also by the sheer power of a better idea? In this episode, host Konstantinos Karagiannis sits down with Toby Cubitt, the co-founder and CTO of Phasecraft, to explore how clever mathematics and algorithmic breakthroughs are slashing the requirements for quantum advantage by orders of magnitude. Toby shares how his team has already knocked factors of one million off the gate counts for critical simulations, effectively buying a decade of hardware development through pure software innovation. Q-Day and the shifting goalposts of breaking RSA encryption are a reality, but the discussion also covers revolutionizing the very materials that power our batteries and industrial catalysts.Beyond the technical benchmarks, Toby pulls back the curtain on the Wild West era of quantum computing, drawing fascinating parallels to the vacuum tubes and mercury delay lines of the 1950s. He also moves on to myths such as: Will AI make quantum computing obsolete? Can you actually run ChatGPT on a quantum processor? Whether you are a business leader looking to "Nitro-inject" your classical optimization workflows or a science enthusiast eager to hear from a world expert who has access to every major quantum machine on the planet (from Google's Willow chip to IBM and Quantinuum) this episode is a hype-free must. For more information on Phasecraft, visit www.phasecraft.io/.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             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.  

David Jacoby is an ethical hacker and cybersecurity expert. In this episode, he joins hosts Paul John Spaulding, Kyle Haglund, VP of Audio Engineering at Cybercrime Magazine, and Sam White, Video Producer at Cybercrime Magazine, to discuss retro computing, piracy, and horror, including his experience running a BBS on a Commodore 64, and more. • For more on cybersecurity, visit us at https://cybersecurityventures.com

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Koushanfar examines secure multi-party computation, zero-knowledge proofs, and federated and split learning, helping clarify how health systems can work together despite data silos, incompatibility, security threats, and re-identification risk. This work helps explain how medical AI can learn from private data more safely and points toward more secure, robust, and trustworthy healthcare systems. Series: "Exploring Ethics" [Health and Medicine] [Humanities] [Science] [Show ID: 41367]

- Nvidia, Corning, big optical fiber deal - Optical computing - New MRC RDMA on Ethernet fabrics - MRC vs RoCEv2 and Infiniband - AMD strengths in GPUs and CPUs - Ocean wave energy for data centers [audio mp3="https://orionx.net/wp-content/uploads/2026/05/HPCNB_20260511.mp3"][/audio] The post HPC News Bytes – 20260511 appeared first on OrionX.net.

Breaking Analysis with Dave Vellante

Journalist Jamie Bartlett on the people trying to get AI to say things it shouldn't … for the safety of us all. Help support our independent journalism at theguardian.com/infocus

Plus: New Disney CEO's long-term vision for the company centers on tech. And Instacart posts higher revenue, saying customers are shopping more at value retailers. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Matt Hill joins us to discuss Start9, StartOS 0.4.0, and building a fully MIT FOSS stack for freedom computing. We chat bitcoin as the first killer app for self hosting, why AI agents are accelerating the need, and the privacy trap of “local” AI tools that still send your files to cloud servers. We go deep on StartOS 0.4.0: easier app packaging, more reliable self hosting, Tor, VPN, Start Tunnel, clearnet tradeoffs, and replacing big tech with open source services at home. We wrap with Server One hardware, their upcoming RISC-V router, FCC Wi-Fi weirdness, and a tease of self hosted open source home security cameras.Start9: https://start9.com StartOS 0.4 Update Guide: https://docs.start9.com Start9 Router Presale: https://router.start9.comStart9 on X: https://x.com/start9labsEPISODE: 201 BLOCK: 948049 PRICE: 1225 sats per dollarmore info on the show: https://citadeldispatch.com learn more about me: https://odell.xyz monitor the situation: https://citadelwire.comten31: https://ten31.xyzopensats: https://opensats.org

Hardware-Faithful Digital Twins for Quantum Computing with Izhar MedalsyIzhar Medalsy is not a career qubit theorist. His path runs from a physical chemistry PhD and an ETH Zurich postdoc in atomic force microscopy and ternary nanoscale logic, through productizing scientific instruments at Bruker, through building one of the fastest resin 3D printers on the market, into co-founding Quantum Elements in 2023 with Daniel Lidar (USC) and Amir Yacoby (Harvard). That arc — nanoscale measurement scientist turned deep-tech operator — shapes how he thinks about the simulation gap in quantum computing.The conversation lands at a specific moment. In April 2026, Quantum Elements published a joint result with AWS, USC, and Harvard simulating a distance-7 rotated surface code with 97 physical qubits using full quantum master equations on AWS HPC7a, and announced a deeper collaboration with Rigetti Computing on next-generation superconducting processors. If you care about how error correction strategies, decoders, and pulse-level controls actually get developed before they ever touch hardware, this episode is for you.EPISODE SPONSORThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.comGo deeper with the blog post The switch that quantum networking has been waiting for====================================================================================================What We Get IntoWhy generic noise models fall short and what "hardware-faithful" actually means when two nominally identical QPUs have different noise fingerprintsHow Quantum Elements scaled open-system master-equation simulation from a brute-force ceiling around 16 qubits to 97 qubits using stochastic compression on top of Quantum Monte CarloThe compute reality of the distance-7 surface code run on AWS HPC7a — only 96 vCPUs and a few hundred gigabytes of memory, not the thousands of vCPUs they initially fearedWhy decoders are the invisible bottleneck in fault tolerance, and where AI-trained decoders fed by digital twin data could plausibly run inside the real-time quantum-classical loopExtending error suppression from physical qubits up to logical qubits — the IBM Eagle work where digital-twin-guided strategies reportedly took entangled logical qubit fidelity from 43% to 95%How the same digital twin approach extends to neutral atoms (live today) and ion traps (on the roadmap)What Rigetti gets out of the partnership, what it means to have Chad Rigetti on the board, and how Constellation fits alongside real hardware timeIzhar's "wooden models in the air tunnel" critique of how the quantum industry currently iterates — and what a parallel virtual development track buys youResources & LinksGuest & CompanyIzhar Medalsy — Quantum Elements team page — Background and role at Quantum Elements.Izhar Medalsy on LinkedIn — Full career arc from ETH biophysics through 3D printing to quantum.Quantum Elements — Constellation platform, where listeners can build their own virtual QPU and run circuits, error suppression, and QEC experiments.Papers & ArticlesAWS Quantum Computing Blog: Decoding realistic QEC syndrome with Quantum Elements digital twins — Primary technical reference for the 97-qubit distance-7 result discussed in the episode.The Next Platform: How HPC and AI Digital Twins Accelerate Quantum Error Correction (Apr 17, 2026) — Independent reporting on the AWS/USC/Harvard simulation.The Quantum Insider: Quantum Elements & Rigetti collaboration (Apr 21, 2026) — Details on the partnership Izhar describes.Guest post: Quantum Digital Twins — The Missing Acceleration Layer — Izhar's own framing of the thesis.The Next Platform: Startup Profile of Quantum Elements (Jan 2026) — Background on the company.arXiv 2603.14607 — Calibration-Based Digital Twins for IBM Quantum Hardware — Useful independent context on the limits and promise of calibration-based twins.Key Quotes & Insights"Sometimes when I look at the quantum industry, there are instances where you think, well, it's almost like building the next fighter jet with wooden models in the air tunnel." — Izhar's framing for why the field needs a real simulation layer.On hardware awareness: each modality, each QPU, sometimes each calibration cycle has its own pulses, its own noise processes, and its own failure modes. You cannot build the control stack without modeling where you are starting from and where you are trying to get to.Insight: The brute-force ceiling for open-system master-equation simulation is roughly 16 qubits. Stochastic compression layered on Quantum Monte Carlo is what let Quantum Elements reach distance-7 surface code at 97 qubits — exploiting sparsity rather than enumerating the full state space.On logical qubits: "We cannot assume that logical qubits will be noise-free." Error suppression strategies developed at the physical level need to be re-derived at the logical level, and digital twins are how you train and test those strategies before hardware.Insight: The most interesting downstream story may not be simulation itself but AI decoders trained on digital-twin-generated data — small enough to run at the edge, fast enough to live inside the real-time quantum-classical loop.Related EpisodesEpisode 52 — Quantum noise with Daniel Lidar — Quantum Elements' co-founder and CSO on the noise suppression and error correction foundat...

In 1947 Raytheon signed a contract to make their first computer. It would be their last... at least for many many years. The fruits of this contract was RAYDAC. Early digital computers were odd, to say the least. And RAYDAC distinguishes itself. From zig-zag delay lines to hunting tapes to freon cooling, it truly is a unique machine. Selected Sources: https://ed-thelen.org/McGee_Book-4.2.2.pdf - McGee on his experience programming RAYDAC https://sci-hub.st/10.1109/JRPROC.1948.232626 - A Digital Computer for Scientific Applications https://www.jstor.org/stable/2002859 - The Logical Design of RAYDAC Like Advent of Computing? Then check out the after show! Adjunct of Computing is now LIVE: YouTube Spotify Apple Podcasts

Guardian US tech editor Blake Montgomery talks about the future of Apple after the resignation of its longtime CEO Tim Cook. Help support our independent journalism at theguardian.com/infocus

Crypto News: Fed Chair nominee Kevin Warsh says crypto is now part of the US financial system. Ripple XRP along with Coinbase prep for quantum computing threat.Brought to you by

I was a newcomer, negotiating all of the usual classroom difficulties for the first time. Throwing AI into the mix felt like downing a coffee in the middle of a panic attack By Peter C Baker. Read by Adam Sims. Help support our independent journalism at theguardian.com/longreadpod

Faced with a computing firepower shortage, AI companies are rationing offerings and products — a warning sign for the tech boom. WSJ reporter Robbie Whelan tells us what's behind the latest compute capacity crunch. Plus, WSJ Detroit bureau chief Patrick George explains why high gas prices are driving Americans back to electric vehicles. Belle Lin hosts. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices