Podcasts about Computing

Quantum computing is rapidly crossing the chasm from low-level physics experiments to practical, enterprise-grade problem-solving. In this episode, host Konstantinos Karagiannis sits down with IBM Quantum Product Lead Sanket Panda and Quantum Elements CEO Izhar Medalsy to uncover how the modern Qiskit ecosystem is stripping away hardware complexity. From Qiskit's core Rust rewrite slashing transpilation times from an hour to mere milliseconds, to the introduction of modular Qiskit Functions, the conversation reveals how high-performance software engineering is enabling researchers to focus strictly on domain discovery, such as chemistry and optimization, rather than circuit tuning.   At the center of this breakthrough is Orbit, Quantum Elements' error-suppression function. Medalsy breaks down how Orbit uses precise dynamical decoupling to actively stabilize idle qubits and protect dynamic, branching circuits without altering the underlying gate structure. It even takes error suppression into the logical qubit realm. Paired with AI-trained digital twins and a shared roadmap pointing toward fault-tolerant systems like IBM Starling, Panda and Medalsy deliver an inside look at how AI workflows, modular software, and hybrid error management are unlocking real scientific utility today.   For more on IBM Quantum, visit https://www.ibm.com/quantum.   For more on Quantum Elements, visit https://quantumelements.ai/.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.  

- Alibaba's full-stack play - Chinese system players - Chinese EUV lithography? - SiPearl Rhea1 - Europe Gets Its CPU Back - Data center politics - Data center constraints everywhere [audio mp3="https://orionx.net/wp-content/uploads/2026/09/HPCNB_20260928.mp3"][/audio] The post HPC News Bytes – 20260928 appeared first on OrionX.net.

At the end of the 1940s IBM stood at a crossroads. The punch card company had yet to enter the electronic computer market. Forces within and without were pushing them in that direction, but many man in blue suits would resist the coming change. Out of this climate emerged the Type 701, IBM's first commercial machine. How did it beat the odds and make it to market? And what even did folk do with these early machines? Like Advent of Computing? Then check out the after show! Adjunct of Computing is now LIVE: YouTube Spotify Apple Podcasts Join the conversation on the OFFICIAL discord server: https://discord.com/invite/GpFNu3DTU2

Yael is the Ellen Shallow Richards Professor at MIT. She was previously a Senior Principal Researcher at Microsoft Research. At the Weizmann Institute of Science, Yael worked with Adi Shamir and completed her PhD advised by Shafi Goldwasser at MIT in 2006. She was elected as a Fellow of the IACR in 2022 for foundational contributions in delegated computation and leakage-resilient cryptography, and service to the cryptographic community. She received the ACM Prize in Computing in 2022 for breakthroughs in verifiable delegation of computation and fundamental contributions to cryptography. Yael was a co-inventor of ring signatures, and has also shown the insecurity within the Fiat-Shamir heuristic. Along with Ron Rivest, and Adi Shamir, she published the classic paper of "How to leak a secret".  

GB2RS News Sunday, the 27th of October 2026 The news headlines: Entry to the RSGB 2027 Construction Competition is now open!  RadCom from the 1990s is now available in the RSGB app One week left to buy your RSGB Convention ticket The Society is pleased to have launched the RSGB 2027 Construction Competition. This is a fantastic opportunity for RSGB members, wherever they are in the world, to get involved in designing and building. Whether you're looking for an outlet for your creativity, wanting a fresh challenge to work on in your spare time or simply looking for the motivation to finish a homebrew project you have already started, the RSGB Construction Competition is the perfect excuse. Are you looking to inspire others to get involved in amateur radio? If so, our two more recent categories, Reimagination and Outreach, are the ideal way. Overall, there are seven different judging categories, so there really is something for everyone. Whether you're a newcomer to amateur radio, a serial constructor, or want to push yourself in a new direction, be it software or hardware – it's time to get those construction ideas flowing! Cash prizes will be awarded to winners and runners up, and entry is open until the 1st of March 2027. Full details of the competition and inspiration from previous years' entrants can be found via rsgb.org/construction-competition  The Society has just released an additional set of RadCom back issues to the RSGB app, available for the web and on mobile devices. RSGB members can now browse all the editions from January 1990 through to December 1999. This creates an even more valuable resource of amateur radio publications for members, who now can enjoy over 425 editions of RadCom. If you haven't explored the RSGB app recently, visit rsgb.org/radcom  to get started. Attending the RSGB 2026 Convention gives you access to knowledge, learning and networking opportunities that aren't available at any other event in the UK this year. The extensive programme includes expert speakers such as Heather Nickalls, M0HMO; Brian Coleman, G4NNS; Steven Dodd, M0SNZ; and Peter Duffet-Smith, GM3XJE, to name just a few. You can view the full programme, including lectures that are being delivered as part of the AMSAT-UK Colloquium, by going to rsgb.org/convention  If you are a younger radio amateur, you'll find a series of youth-specific events including a series of lightning talks, a youth POTA activation and a youth dinner on the Saturday evening. For radio amateurs looking to start the weekend festivities early, you have a number of activities to take part in on Friday the 9th of October, from visiting the National Museum of Computing to joining an amateur radio pub-style quiz in the conference centre bar in the evening. You'll find details of all these activities, plus more, on the RSGB Convention web pages. Online ticketing closes at 9am on Monday the 5th of October so make sure you buy your ticket to guarantee your place. The RSGB Convention takes place between the 9th and 11th of October at Kents Hill Conference Centre in Milton Keynes. The next RSGB Tonight@8 webinar is by the Society's Maker Champion Tom Wardill, M9TWM on Monday the 5th of October. Tom believes that amateur radio has never been in such a good place in terms of the availability of tools, supplies, and connections. He will give you a quick guide on what is available to the average home user, from SMT components and PCB fabs to 3D-printed cases, or to test equipment that was only available to IBM and HP just a few years ago. He'll discuss where to look, how to source, and how to get help with the tools you need to make the projects that you've written off as too complicated. You can join the livestream via the RSGB YouTube channel and special BATC channel, allowing you to watch and ask questions online. Find out more by going to rsgb.org/webinars Have you tried one of the RSGB's National Coding Week activities? If you took part and would like to be included in a special feature in RadCom, send your photos and a short summary of your activity to ncw.coordinator@rsgb.org.uk by the 30th of September. All coding activities will remain on the RSGB website via rsgb.org/coding  so whether you want to do something new just for fun or find a way to use programming within your current amateur radio interests, you'll find something to try! Don't forget to listen out for all of the stations that are operating during the annual Railways on the Air event today, the 27th. Bishop Auckland Amateur Radio Club coordinates this event and you can read more at rota.barac.org.uk Please send details of all your news and events to radcom@rsgb.org.uk  The deadline for submissions is 10am on Thursdays before the Sunday broadcast each week.  And now for details of rallies and events The Broadcast Engineering Museum has an open day on Sunday the 4th of October from 11am. The museum is located at 41 Capper Avenue, Hemswell Cliff, near Gainsborough, Lincolnshire DN21 5XS. The museum is home to one of the largest collections of historic broadcasting equipment in the world. For more information visit becg.org.uk/events Also on Sunday the 4th of October, the Welsh Radio Rally will take place at Llanwern High School, Hartridge Farm Road, Newport, NP18 2YE, South Wales. The doors open to traders at 7am and to the public at 9.30am. Admission costs £3. The rally will include technical talks, a bring-and-buy area and a raffle. For more information email welshradiorally@icloud.com Now the Special Event news Huntingdonshire Amateur Radio Society is running special event station GB2RMR today, the 27th at the Riverside Miniature Railway, Riverside Park in St Neots, Cambridgeshire. Operators will be active from 9.30am until 4pm on the HF, VHF and UHF bands. More information is available via QRZ.com To celebrate the 100th anniversary of the Belgian National Railway Company, special callsign OT26B is active until the 31st of December. The line between Brussels and Mechelen opened in 1835 and was the first steam-powered public railway in continental Europe. QSL via OR4K. Now the DX news Members of Guisborough and District Amateur Radio Club are active from the Isle of Lewis today, the 27th. Listen out for the MS0NYM callsign on the 40 to 10m bands using CW, FT4, FT8 and SSB. More information is available via QRZ.com Toni, W5RCX and Tom, K0YA are active as V47RCX and V47YA, respectively, from St. Kitts, NA-104, until Wednesday the 30th of September. They are operating using CW, FT8 and SSB on the HF and 6m bands. QSL via Logbook of the World and to their home calls. Now the contest news The CQ World Wide DX RTTY Contest started at 0000UTC yesterday, the 26th, and ends at 2359UTC today, Sunday the 27th of September. Using RTTY on the 80 to 10m bands, where contests are permitted, the exchange is signal report and CQ zone. The UK is in zone 14. Also today, the 27th, the UK Microwave Group High Band Contest runs from 0800 to 1700UTC. Using all modes on 5.7 and 10GHz frequencies, the exchange is signal report, serial number and locator. On Monday the 28th of September, the RSGB FT4 Series Contest runs from 1900 to 2100UTC. Using FT4 on the 80 to 10m bands, where contests are permitted, the exchange is your report. On Wednesday the 30th of September, the United Kingdom and Ireland Contest Club 80m Contest runs from 2000 to 2100UTC. Using CW on the 80m band, the exchange is your six-character locator. The Oceania DX SSB Contest starts at 0600UTC on Saturday the 3rd and ends at 0600UTC on Sunday the 4th of October. Using SSB on the 160 to 10m bands, where contests are permitted, the exchange is signal report and serial number. On Saturday the 3rd of October, the RSGB 1.2GHz Trophy runs from 1400 to 2200UTC. Using all modes on the 23cm band, the exchange is signal report, serial number and locator. Also, on Saturday the 3rd of October, the RSGB 2.3GHz Trophy runs from 1400 to 2200UTC. Using all modes on the 13cm band, the exchange is signal report, serial number and locator. The RSGB and IARU October 432MHz to 245GHz Contests start at 1400UTC on Saturday the 3rd and end at 1400UTC on Sunday the 4th of October. Using all modes on 432MHz to 245GHz frequencies, the exchange is signal report, serial number and locator. On Sunday the 4th of October, the UK Microwave Group Millimetre Band Contest runs from 0800 to 1700UTC. Using all modes on 24 to 76GHz frequencies, the exchange is signal report, serial number and locator. Now the radio propagation report, compiled by G0KYA, G3YLA and G4BAO on Wednesday the 23rd of September 2026. As we head towards the end of September, we are seeing daytime maximum usable frequencies, or MUFs, starting to climb. The daytime MUF over 3,000km is reaching 12m and is just touching 10m at times. Within a few weeks we can expect it to reach 10m on a regular basis, perhaps bringing transatlantic QSOs to 28MHz once again. Meanwhile, we can make the most of the openings on the 17, 15 and 12m bands, which are showing promise with increasing propagation to Asia, North Africa, South Africa and South America. The solar flux index is hanging in there. Last week it fell to 96 but then rebounded back into the low 100s. There are currently eight sunspot groups visible on the Sun. The good news is that geomagnetic conditions have been calm, with the Kp index mostly in the ones and twos. That could soon change, however, thanks to a large coronal hole on the Sun's surface. These are dark, cool and less dense regions in the Sun's outer atmosphere, when viewed in ultraviolet, with open magnetic field lines. This one stretches from the solar equator to its pole. There are also two coronal holes following it, which may cause more problems. With the equinox, we often see more auroral activity, due to the Earth-Sun alignment and the Russell-McPherron effect. Once auroral conditions clear, the Kp index should return to normal, with a Kp of 2 predicted from Monday the 28th of September onwards. The solar flux index may even improve slightly, with a forecast solar flux index of 115 towards the end of the month. Make the most of the HF conditions by working one of the DX stations on the air. You can choose from 5W0AF in Samoa; JD1BON and friends on the Ogasawara Islands; OX3LX in Greenland; FR/F1TEQ and FH/F1TEQ from Reunion and Mayotte; and 8Q7JH operating from the Maldives. And now the VHF and up propagation news from G3YLA and G4BAO Recently, the overall characteristic of the weather in southern areas has been one of high pressure, giving some occasional tropo. This region of high pressure will drift away by this weekend as a deep low over the northern Atlantic drives a weakening cold front south, so any major tropo will probably not survive into the coming week. The rest of the period looks generally unsettled. The northern half of Britain will have the more active part of any weather system crossing the country and therefore will also have a better chance of some rain scatter on the GHz bands. This time of the year we often get some very active Atlantic storms. Although they may not cross the UK directly, they may be close enough for severe gales and damaging winds in north western areas by the middle of the coming week. It is a good time to make sure your antenna guys are in good shape and keep an eye on the forecasts. There are no major meteor showers in the period so, once again, any activity is likely to be random, and this is typically best in the hours just before dawn. The prospect for auroras is a little more interesting since we are now just past the equinox of the 22nd of September. It's a preferential time to be alert for auroras due to the way the Earth's magnetic field aligns better with the Sun's magnetic field. This makes it easier for the solar wind to get through and create auroras. EME now, and Moon declination went positive at Moonset on Friday the 25th of September. This means we'll see lengthening Moon windows and higher peak Moon elevation into the coming week. Path losses continue to fall. 144MHz sky noise starts the week low, increasing to moderate by Friday the 2nd of October. And that's all from the propagation team this week.

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(0:00) Welcome Naveen Rao (4:45) Is energy really the problem? The cost of a token, power contracts & the gap to close (10:24) Cutting out the middleman: abstractions, dynamical systems & a new kind of machine (19:46) Chamath joins: the path to product, porting existing models & building the team   Thanks to our partners for making this possible! IREN is a vertically integrated AI Cloud platform, delivering data centers, compute and software for AI training and inference. https://iren.com/ Oracle connects the data, applications, and infrastructure that turn AI into business outcomes—with the flexibility, choice, and control to optimize as AI evolves. http://oracle.com/ai EY helps tech innovators scale from startup to exit to megacap. You build the future. We'll handle the rest. http://www.ey.com Meta believes the future is for everyone. We're focused on giving every person the tools to reach their full potential and making sure the benefits of technology are distributed to all. http://www.meta.com Keel Infrastructure owns the power, land, and connectivity that HPC and AI run on - backed by secured energy assets and established grid interconnections across North America. https://keelinfra.com/ Airwallex - Agentic Global Business Accounts. Open local accounts in 70+ countries to accept payments, earn yield, pay globally, and manage spend. http://airwallex.com PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com Google for Startups connects founders with the right people, products, and best practices to help startups build faster and go further. https://startup.google.com/ Explore ideas, industries, and technologies worth understanding with Chamath every week on Learn with Me: https://research.socialcapital.com/allin   Follow the besties:  https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg   Follow on X: https://x.com/theallinpod   Follow on Instagram: https://www.instagram.com/theallinpod   Follow on TikTok: https://www.tiktok.com/@allin   Follow on LinkedIn:  https://www.linkedin.com/company/allinpod   Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg   #allin #tech #news  

The Albanese government is considering giving AI companies unrestricted access to Australian content. The sweeping copyright reforms could give AI companies – such as Anthropic and Open AI – permission to train on the open internet here in Australia. Host Reged Ahmad speaks to musician and communications strategist Holly Rankin on what an AI deal could mean for creators, artists and everyday Australians Holly Rankin is an artist professionally known as Jack River and the executive director of Sentiment Group, a government affairs and strategic communications firm

- Critical Minerals, AI, and U.S.–China Talks - Open Weights vs. Open Source - Memory: The Next Sovereignty Target - Fujitsu MONAKA for All - DOE's Science-First Quantum Roadmap for the Nation [audio mp3="https://orionx.net/wp-content/uploads/2026/09/HPCNB_20260921.mp3"][/audio] The post HPC News Bytes – 20260921 appeared first on OrionX.net.

Angus Cameron re "Luke" at Red Stitch TheatreTwig Takac re Radical Computing

Why are AI chatbots pulling so many people down a rabbit hole? Our answer starts with the world's first-ever chatbot, the strange effect it had on people and the ‘time bomb' that exploded when ChatGPT was released four years ago. The result is a strange experiment we are all living through – whether we know it or not. You can find episodes one and two further back in the Full Story feed.

In this month's Brains and Machines, Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups with Dr. Sunny Bains of University College London. A co-founder of Prophesee, he explains why he believes AI's future must come from neuromorphic engineering. Discussion follows with Dr. Giulia D'Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. 

Tech bosses have called for a slowdown in artificial intelligence and the creation of formal guardrails from the US government. But why is President Trump unmoved by the doomsday predictions, dismissing them as a ‘hoax'? What lies behind his embrace of the AI industry? Jonathan Freedland speaks to the Guardian US tech editor, Blake Montgomery

In early September, OpenAI announced it had solved a major mathematics problem that has stumped humans for nearly a century. The news left mathematicians reeling, and many expressed concern over what will be left for humans as AI becomes ever more adept at unravelling complex problems. Now 25 recipients of the Fields medal – often called the Nobel prize for maths – have signed an open letter expressing their fears of a ‘severe misalignment' between AI companies and their field. To find out how AI is likely to upend maths – and how mathematicians might respond – Ian Sample speaks to Colva Roney-Dougal, professor of pure mathematics at the University of St Andrews. Help support our independent journalism at theguardian.com/sciencepod

Can AI and high-performance computing get better answers with fewer bits? HPC pioneer John Gustafson, author of Every Bit Counts, joins Doug Black and Shahin Khan to challenge the default reliance on 64-bit floating point, and explain why numerical precision belongs at the center of the debate over computing performance, memory bandwidth and energy use. [audio mp3="https://orionx.net/wp-content/uploads/2026/09/110@HPCpodcast_ID_John-Gustafson_Numerical-Precision_Posit-Format_20260917.mp3"][/audio] The post @HPCpodcast-110: John Gustafson on AI, HPC, Making Every Bit Count – In Depth appeared first on OrionX.net.

Quantum computing has long been trapped inside massive dilution refrigerators, but SAXON Q is looking to change that. CEO Marius Grundmann joins host Konstantinos Karagiannis breaks down how his company uses artificial diamond chips and atomic-scale NV centers to build fully functional, room-temperature quantum computers that mount directly into standard 19-inch server racks. By leveraging the natural rigidity of diamond crystals to protect delicate nuclear and electron spin qubits from ambient thermal noise, SAXON Q delivers a resilient system capable of running live in data centers without complex cryogenic overhead.Beyond the physics, Grundmann explores why on-prem, rack-mounted quantum hardware is a potential gamechanger for industries handling mission-critical data. From analyzing ultra-sensitive patient medical records completely offline to scaling parallel workloads across multi-processor architectures, he shares how accessible semiconductor manufacturing methods could finally take quantum out of deep-freeze science labs and drive it toward consumer-level pricing.For more on SAXON Q, visit https://www.saxonq.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.  

Welcome to another episode of Impact Quantum, where we explore the cutting edge of quantum computing and emerging technologies reshaping our world.Today, co-hosts Frank La Vigne and Candace Gillhoolley sit down with Vivek Raghunathan, co-founder of Xscape Photonics, to delve into the revolutionary intersection of photonics, artificial intelligence, and quantum computing. From comparing the astounding power efficiency of the human brain to today's AI clusters, to discussing how multicolor lasers could unlock massive advancements in data center performance and sustainability, Vivek shares how his company is tackling the growing power demands of AI by reimagining the future of hardware.We'll hear why the traditional focus on faster processors is giving way to a new era where the speed and efficiency of inter-chip communication—powered by light, not electricity—becomes the key to smarter, greener computing.Tune in as we decode the transformation of data center architecture, explore the practical and philosophical implications of merging photonics and electronics, and peek into how today's innovations lay the foundation for tomorrow's quantum breakthroughs.Whether you're a seasoned technologist or just quantum-curious, this is a conversation you won't want to miss!LinksVivek on LinkedIn -https://www.linkedin.com/in/vivek-raghunathan-8228913a/XScape Photonics -https://www.xscapephotonics.com/Watch on YouTube -https://youtu.be/NcXWZyPuyqETime Stamps00:00 Discussing Montreal weather transition05:04 AI efficiency and power use10:14 Advancing data transfer on copper wires11:31 Copper vs. fiber optics limits17:13 Optical cables replacing copper wires20:36 Quantum computing and comb lasers24:32 Integrating electronics and photonics27:40 AI efficiency and energy consumption31:54 Photonics on 12-inch wafers33:39 Analog computation basics37:50 Transition to photonic computing42:24 Data center strategy discussions45:32 NVIDIA's holistic system design approach47:05 High-bandwidth cluster discussion51:31 Reducing data center power consumption53:42 Candace and Frank on podcasts

A few days ago, the head of AI company Anthropic, put out a call for the pace of AI development to be slowed down. In his proposal, chief executive Dario Amondei, outlined the serious risks associated with the rapidly evolving tech and laid out a three-point plan that would bring together governments, companies and third-party evaluations. Rival tech bosses Sam Altman and Elon Musk have agreed with the ideas. So, what's driving these concerns and what's behind this call? Andrew Cullen has been writing about this for The Conversation and is an AI Consultant and Senior Research Fellow at the University of Melbourne's School of Computing and Information Systems. He joins the show tonight to discuss.

Many hoped that the march of technology would usher in an egalitarian utopia – but some foresaw the threat it would pose to liberal society. Why did nobody listen? By Jill Lepore. Read by Laurel Lefkow. Help support our independent journalism at theguardian.com/longreadpod

This week, Ivy Slater, host of Her Success Story, chats with her guest, Anna Murray. The two talk about the evolution of women in technology, navigating inflection points in a rapidly changing industry, and the groundbreaking work Anna Murray is doing in digital transformation and quantum cybersecurity. In this episode, we discuss: How Anna Murray accidentally started her career in technology after a background in journalism, and how early technological shifts in journalism led her into tech entrepreneurship. What quantum computing is, how it differs from traditional computing, and why it matters for both security and business opportunities in the near future. When quantum computing is expected to impact cybersecurity, including Google's 2029 benchmark for "Q-Day," when current cryptography may be broken. Why it's important for business leaders and entrepreneurs to educate themselves about coming changes in technology, rather than relying solely on experts. Who should be your partners and advisors: why approachability and the ability to explain complex tech concepts matter when choosing collaborators. What it means to be an entrepreneur in tech, including the importance of taking calculated risks and knowing when to push forward or pull back, and how experience shapes those instincts. Anna Murray is a tech entrepreneur and founder of emedia LLC, a provider of software development, high-level technology consulting, and project and program management. She is also a co-founder of SIX3RO, a frontier tech startup in post-quantum, decentralized information exchange. Anna has consulted with brands worldwide on their digital strategies, served as interim CIO for Time Out NY, head of interactive at Harvard Business Publishing, and led the digital transformation at the American Association of Advertising Agencies. Anna is well known for her ability to bridge business and tech and is the author of several books, including Quantum Computing 101, A Concise Guide to the Future of Computing, Security, and the Coming Q-Day, as well as The Complete Software Project Manager (John Wiley & Sons). Website:https://emediaweb.com/ Social Media Links: https://www.linkedin.com/in/anna-murray-a04255/    

Daniel Loss is RDIA Chair Professor of Quantum Computing and Director of the Quantum Center at King Fahd University of Petroleum and Minerals in Saudi Arabia, where this work was done. He is also one of the most influential theorists in quantum computing. The 1997 Loss-DiVincenzo proposal — that electron spins in quantum dots could serve as qubits — now has more than 9,000 citations and is the conceptual foundation for the semiconductor spin-qubit platforms that Intel, HRL, Diraq, and a wave of European startups are actively building toward. In 2025, Loss was named a Clarivate Citation Laureate in Physics, a designation with a strong historical track record as a Nobel Prize predictor. The reason to listen now is that Loss has turned his attention to a question that predates quantum computing itself: can reversible, energy-efficient classical logic be physically realized? His 2026 paper argues that the spin-qubit hardware the field has spent decades developing is, almost incidentally, the ideal platform to do exactly that — and that the energy advantage over room-temperature CMOS could be so large it would matter enormously for AI inference workloads and data-center power budgets. This episode is for anyone following the spin-qubit roadmap, the energy crisis in classical computing, or the deeper question of what semiconductor quantum hardware is ultimately good for. What We Get Into Why reversible computing is having a moment now: The ideas of Landauer, Bennett, Fredkin, and Toffoli have been around since the early 1980s — Loss explains what changed experimentally that makes the proposal feel like engineering rather than philosophy. The core energy claim, unpacked: Loss walks through why a spin-qubit Toffoli gate operating near 4 Kelvin could cost roughly 10⁵ times less energy than its CMOS equivalent, even after accounting for refrigeration overhead — and where the accounting is still incomplete. What makes the computation classical and the hardware quantum: The gate uses coherent quantum dynamics internally, but inputs and outputs are classical spin states. No superposition is required between gate operations, which dramatically relaxes the error-correction burden. The iToffoli gate and why it works for classical logic: Loss describes how a target spin hopping between quantum dots, controlled by two neighboring spins, implements a universal reversible gate using only DC voltage pulses — no radio-frequency drives required. The Quantum Zeno trick for classical memory: Frequent projective measurement of a spin state can stabilize it against relaxation, turning one of quantum computing's central headaches into a feature for classical storage. Why AI inference is the natural first application: Error tolerance, parallelizability, and the absence of a need for new algorithms make AI inference workloads a compelling early target — and Loss argues this de-risks the spin-qubit enterprise regardless of whether fault-tolerant quantum computing arrives on schedule. The dual-use platform argument: The same germanium/silicon quantum-dot array could, in principle, run quantum algorithms when superposition is useful and classical reversible logic when it is not — a flexibility that changes the economic calculus for building the hardware. What the experimental community needs to do next: Loss describes the first falsifiable tests — a three-spin iToffoli truth table, energy budget measurements, and a five-dot reversible adder — and names the groups best positioned to run them. How the brain comparison reframes the stakes: Loss notes that his energy estimates put spin-qubit classical computing roughly four orders of magnitude below the energy cost of a biological synapse, which has implications for how we think about the physical limits of AI. Resources & Links Guest & Lab Daniel Loss' profile at King Fahd University of Petroleum and Minerals Daniel Loss — University of Basel, Condensed Matter Theory & Quantum Computing Group — Loss's lab page; lists current research areas, group members, and leadership roles including NCCR SPIN. Daniel Loss — Wikipedia — Comprehensive biographical overview, career history, and awards list for listeners who want background before or after listening. Papers & Articles Classical Reversible Computation by Quantum Coherence — arXiv:2607.06219v3 (2026) — The central paper discussed in this episode; v3 adds a reversible-adder blueprint, control-electronics energy analysis, and optimized pulse sequences. Loss-DiVincenzo: Quantum Computation with Quantum Dots — Physical Review A (1998) — The foundational 1997/1998 proposal that started the spin-qubit field; cited more than 9,000 times and the direct ancestor of the hardware Loss now proposes for classical reversible computing. Long-Range Crossed Andreev Reflection in a Topological Insulator Nanowire — Nature Physics (2025) — A 2025 result from the Loss group with implications for topological quantum computing, showing the breadth of the research program surrounding this episode's topic. Prof. Daniel Loss Named Citation Laureate 2025 in Physics — NCCR SPIN — Announcement of Loss's Clarivate recognition; useful context for why this conversation is happening now. Organizations NCCR SPIN — National Center of Competence in Research: Spin Qubits in Silicon — Switzerland's national spin-qubit research center, co-directed by Loss; the institutional home of much of the experimental work Loss references. Max Planck Institute of Microstructure Physics — Loss's new external scientific membership, signaling a push to connect topological quantum magnetism theory with experiment. Key Quotes & Insights > "If the physical platform is successful, we are guaranteed to have killer applications — because I don't need to find new algorithms for this." > — Loss on why classical reversible computing de-risks the spin-qubit investment, regardless of the timeline for fault-tolerant quantum algorithms. > "The energy difference is a factor of ten to the fifth. And this is mind-blowing." > — Loss summarizing the device-level energy advantage of a spin-qubit Toffoli gate over its CMOS equivalent, after accounting for refrigeration overhead. Insight: Loss argues that the Quantum Zeno effect — the tendency of frequent measurement to freeze a quantum state — can be used deliberately to stabilize classical spin states against relaxation, turning a well-known quantum-computing obstacle into a memory-stabilization tool for classical logic. Insight: The proposal requires superposition only inside a gate operation, not between operations. This means the error-correction burden is classical (majority voting) rather than quantum (surface codes or similar), which is a qualit...

- The Rise and Rise of AI Doomerism - AI's Global Power Constrain - AI to Help Control Fusion Energy Process - AI Solves yet another hard math problem - Taiwan's AI-Server Boom [audio mp3="https://orionx.net/wp-content/uploads/2026/09/HPCNB_20260914.mp3"][/audio] The post HPC News Bytes – 20260914 appeared first on OrionX.net.

In this episode of Science Weekly, recorded in front of an audience at the London podcast festival on 3 September, Ian Sample hears from Michael Safi, the host of the Guardian's chart-topping podcast about artificial intelligence, Black Box. In series two, Black Box: the chatbots, Michael meets people who have become convinced they have made scientific breakthroughs, cured diseases or invented new technologies using AI chatbots. Ian, Michael and Science Weekly's co-host Madeleine Finlay explore the phenomenon labelled ‘AI psychosis' and ask what it reveals about a technology now used by more than a billion people. Help support our independent journalism at theguardian.com/sciencepod

Welcome to another episode of Impact Quantum, where we explore the cutting edge of quantum computing and emerging technologies reshaping our world.Today, co-hosts Frank La Vigne and Candace Gillhoolley sit down with Vivek Raghunathan, co-founder of Xscape Photonics, to delve into the revolutionary intersection of photonics, artificial intelligence, and quantum computing. From comparing the astounding power efficiency of the human brain to today's AI clusters, to discussing how multicolor lasers could unlock massive advancements in data center performance and sustainability, Vivek shares how his company is tackling the growing power demands of AI by reimagining the future of hardware.We'll hear why the traditional focus on faster processors is giving way to a new era where the speed and efficiency of inter-chip communication—powered by light, not electricity—becomes the key to smarter, greener computing.Tune in as we decode the transformation of data center architecture, explore the practical and philosophical implications of merging photonics and electronics, and peek into how today's innovations lay the foundation for tomorrow's quantum breakthroughs.Whether you're a seasoned technologist or just quantum-curious, this is a conversation you won't want to miss!LinksVivek on LinkedIn - https://www.linkedin.com/in/vivek-raghunathan-8228913a/XScape Photonics - https://www.xscapephotonics.com/Watch on YouTube - https://youtu.be/NcXWZyPuyqETime Stamps00:00 Discussing Montreal weather transition05:04 AI efficiency and power use10:14 Advancing data transfer on copper wires11:31 Copper vs. fiber optics limits17:13 Optical cables replacing copper wires20:36 Quantum computing and comb lasers24:32 Integrating electronics and photonics27:40 AI efficiency and energy consumption31:54 Photonics on 12-inch wafers33:39 Analog computation basics37:50 Transition to photonic computing42:24 Data center strategy discussions45:32 NVIDIA's holistic system design approach47:05 High-bandwidth cluster discussion51:31 Reducing data center power consumption53:42 Candace and Frank on podcasts

Modern machine learning systems are only as reliable as the data and pipelines that support them, yet improving their behavior often requires navigating enormous spaces of possible data and system configurations. These systems are complex enough that improving them by changing everything at once is both inefficient and unreliable. This talk explores a simple principle for building smarter data and machine learning systems: identify which intervention is most likely to change the outcome, and act there.  I will first introduce DataSift that applies this principle to model behavior, identifying the most influential data to expand the training data when the goal is to improve fairness without sacrificing predictive performance. By combining data valuation, influence functions, and multi-armed bandits, DataSift identifies small, high-impact subsets of candidate data rather than indiscriminately adding data to the training set. Next, I will present PipeLens that applies the same principle to data science pipelines, identifying the components and parameters whose intervention is most likely to repair a malfunctioning pipeline. By learning from successful and failed pipeline executions, PipeLens identifies causally relevant root causes and efficiently searches for interventions that restore pipeline utility. Despite addressing different problems, both systems replace brute-force search with targeted intervention using principled reasoning about influence and causality to determine what to change, why it matters, and how to change it efficiently. About the speaker: Romila Pradhan is an Assistant Professor in the School of Applied & Creative Computing at Purdue University and leads the Responsible DataScience Lab, where she and her students build trustworthy and responsible data-driven decision-making systems. Her research is in the broader areas of databases and data management and is driven by the need to design algorithms and develop solutions that enable system explainability, fairness, and robustness.  Her research is supported by NSF, Google, and Underwriters Laboratories. She is a recipient of a Google Research Scholar award and an NSF CAREER award. Romila earned her Ph.D. in Computer Science from Purdue University and graduated with M.S. and B.S. in Mathematics and Computing from the Indian Institute of Technology (IIT) Kharagpur, India.

In information systems, we saw the rise of qualitative scholarship in the 1990s. In the 2000s, we saw the rise of analytics in research, fueled by the emergence of big data. In the 2010s, we saw the rise of econometric methods, diff-in-diff designs, and field experiments. What is next? Autonomous scholarship, fueled by AI agents that get infused into research processes. We are the cusp of this new era and are beginning to experiment and trial how research might look like going forward. We discuss a few options for what autonomous scholarship could look like: will AI be a surrogate for humans? Will AI augment humans and lead to new forms of collaborative research? Will AI merely scale research processes? And how would we validate the autonomous components of research processes? We can only speculate but we do know one thing that is certain: exciting times are upon us. References Bichler, M., Xu, H., Zhang, N., Zimmerman, T. (2026). ICIS 2026 Professional Development Workshop (PDW) on Autonomous Scholarship. https://sites.nd.edu/autonomous-workshop/. Chandra Kruse, L., Recker, J., Young, A. (2026). ECIS2027 Call for Submissions. https://ecis2027.uni.lu/call-for-submissions/. Eisenmann, T., Parker, G., & Van Alstyne, M. (2011). Platform Envelopment. Strategic Management Journal, 32(12), 1270–1285. Schätzing, F. (2007). The Swarm: A Novel of the Deep. Hodder Paperbacks. Abbasi, A., Bichler, M., Gopal, M., Karahanna, E., Sarker, S. (2026). ISR Special Issue: Generative AI and New Methods of Inquiry in Information Systems Research. Information Systems Research, https://pubsonline.informs.org/page/isre/calls-for-papers. Gartenberg, C., Hasan, S., Pierce, L., Bail, C., Dai, H., Hauser, O., Rahman, H., Zhang, D. (2026). Special Issue: AI-Enabled Frontiers in Organizational Science. Organization Science, https://pubsonline.informs.org/pb-assets/filesorsc/CFP_AI-Enabled%20Frontiers%20in%20Organizational%20Science-1785685920943.pdf. Lalor, J. P., & Rodriguez, P. (2023). py-irt: A Scalable Item Response Theory Library for Python. INFORMS Journal of Computing, 35(1), 5–13. Pillet, J.-C., Larsen, K. R., Dobolyi, D., Queiroz, M., Handler, A., Arnulf, J. K., & Sharma, R. (2026). AI-Augmented Content Validation in Behavioral Research: Development and Evaluation of the RATER System. MIS Quarterly, 50(1), 59–86. Schmitt, B. H., Hao, S., Pham, M. T., & Hofstetter, R. (2026). Generative Grounded Theory (GGT): Inductive Theory Building in the Age of Generative AI. Journal of Consumer Psychology, https://doi.org/10.1002/jcpy.70036. De Lima Salge, C. A., Karahanna, E., Li, W. (2026). Conference on Generative AI in Research Methods. Atlanta, Georgia, https://sites.google.com/view/2026gaim/home. Glymour, C. (2004). The Automation of Discovery. Daedalus, 133(1), 69–77. Debortoli, S., Müller, O., Junglas, I., & Vom Brocke, J. (2016). Text Mining For Information Systems Researchers: An Annotated Topic Modeling Tutorial. Communications of the Association for Information Systems, 39(7), 110–135. Gao, Y., Lee, D., Burtch, G., & Fazelpour, S. (2025). Take Caution in Using LLMs as Human Surrogates. Proceedings of the National Academy of Sciences, 122(24), e2501660122. Ghasemi, H., Astvansh, V., & Sepehri, A. (2026). How Should Content Creators Narrate their Content? The Impact of Emotionality Flips on Audience Engagement. Journal of the Academy of Marketing Science, 54(4), 1080–1100. Berente, N., Seidel, S., & Safadi, H. (2019). Data-Driven Computationally-Intensive Theory Development. Information Systems Research, 30(1), 50–64. Huysman, M. (2026). Studying AI in the Wild: Reflections from the AI@Work Research Group. Journal of Management Studies, 63(2), 315–334.

- IBM Nighthawk r2 - Diraq at Equinix - From Better QPUs to Better Infrastructure - Agentic AI for Physical Science Experiments - AI and Jobs: Watch Hiring, Not Only Layoffs - Technopolitics: Restrictions and Dependencies [audio mp3="https://orionx.net/wp-content/uploads/2026/09/HPCNB_20260907.mp3"][/audio] The post HPC News Bytes – 20260907 appeared first on OrionX.net.

English Edition: Just in time for the RSE conference in Sheffield 2026 here a portrait of one of the larger groups of digital research professionals in the UK: the team of the Advanced Research Computing Centre (ARC) at University College London (UCL). Because of its size, I met with a number of staff from different parts of the departments: Jonathan Cooper, Harry Moss, Mahmoud Abdelrazek, Milan Malfait, Stella Prins, Camilla Harris and Hollie Rowland.Links:https://www.ucl.ac.uk/advanced-research-computinghttps://www.ucl.ac.uk/advanced-research-computing/our-people https://www.pris-managers.ac.uk the PRISM network in the UKGet in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören!Contact Details/ Coordonnées / Kontakt:Email mailto:peter@code4thought.orgUK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.socialLinkedIn: 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/

Across the world, hundreds of people have come to believe they have made extraordinary scientific discoveries with AI chatbots such as ChatGPT, Claude and Gemini. Others say their AI has ‘awakened', or is leading them to a higher spiritual realm. The Guardian journalist Michael Safi investigates a phenomenon labelled ‘AI psychosis', travelling to the US to meet two people who have been on weird journeys with their chatbots. Help support our independent journalism at theguardian.com/infocus

Across the world, hundreds of people have come to believe they have made extraordinary scientific discoveries with AI chatbots such as ChatGPT, Claude and Gemini. Others say their AI has ‘awakened', or is leading them to a higher spiritual realm. Guardian journalist Michael Safi begins investigating a phenomenon labelled ‘AI psychosis', travelling to the US to meet two people who have been on weird journeys with their chatbots

Much of the code that describes the inner workings of social networks, helps apps predict your musical interests, and underlies innovations in AI traces back to advances in mathematical theory and data science that fundamentally describe how massive networks behave.Jennifer Chayes helped create that field of math. She also spent 20 years at Microsoft building interdisciplinary research labs. Now, at UC Berkeley, her interests lie in using machine learning to work on topics like materials science, cancer immunotherapy, ethical decision-making, and climate change. She joins Flora for a wide-ranging discussion about math, networks, AI, academia, and her path between them. Guest:Dr. Jennifer Chayes is the dean of the College of Computing, Data Science, and Society at UC Berkeley.Transcript will be available after the show airs on sciencefriday.com. Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-472-4374 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

My podcast guest this week Alex Ksendzovsky, co-founder of The Biological Computing Co. Alex and his team are doing something that sounds straight out of science fiction: they're extracting computational principles from living neurons and translating them into software that runs on standard silicon. Alex and I chat about The Biological Computing Co. is bridging the gap between biological tissue and GPU-accelerated algorithms, explore how this approach is making foundational models faster and more efficient and where Alex sees this ground breaking technology headed in the future.

Recent attacks on water utilities have shown how quickly a local cybersecurity incident can become a national concern. The systems that deliver drinking water are operated by thousands of separate organizations with varying resources and cyber capabilities. For more on what that means for protecting critical infrastructure, I'm joined by Ozgur Ozmen, assistant professor in the School of Computing and Augmented Intelligence at Arizona State University.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Bloomberg investigative journalist Kit Chellel explores the surprising history of gamblers who used mathematics, early computers, and engineering to beat casinos and sportsbooks, while helping pioneer technologies that would influence the modern computing and AI landscape.

Send us Fan MailIn this episode of Embedded Insiders, David Connolly, Product Management Director at Taoglas, dives into the company's AI-driven antenna product recommendation engine within its AntennaXpert toolset. David explains the solution's impact on RF system design and how it helps engineers quickly and efficiently identify, evaluate, and integrate the right antenna for their application.Check out the video segment here: https://youtu.be/4limtwXTNYYNext, Rich and Vin are back with a Dev Talk comparing the embedded systems of today and those from 25 years ago. But first, our Production Editor, Chad Cox, joins us to share some information on his recent trip with John Deere. Be sure to check out the news here.For more information, visit embeddedcomputing.com

IonQ's VP of Engineering and CTO, Cameron Chehreh, joins host Konstantinos Karagiannis to break down why the race to scalable quantum computing is accelerating far faster than expected. Bringing a pragmatic, classical compute mindset to quantum systems, Chehreh explains how IonQ is transitioning from traditional optical tables to chip-scale trapped-ion QPUs, bolstered by their SkyWater foundry acquisition to dramatically speed up silicon iteration. He also provides an exclusive update on the company's hardware roadmap, confirming that their 256-qubit system is currently in fabrication and on track as they march toward 10,000 qubits and cryptographically relevant scale before 2030.   Beyond hardware breakthroughs, the conversation tackles the urgent inflection point facing enterprise and public sector leaders. Chehreh details why executive orders and looming cryptographic deadlines mean organizations cannot treat post-quantum cryptography migration as standard IT patching. From real-world defense war-gaming and energy sector hybrid CPU-GPU-QPU pipelines to the complementary deployment of QKD and PQC, this episode delivers a high-stakes look at how quantum computing is leaving the laboratory to reshape modern infrastructure and AI workloads.   For more on IonQ, visit https://www.ionq.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.  

John Maytham is joined by Professor Kevin Naidoo, Director of the Scientific Computing Research Unit at the University of Cape Town, to explain this major South African-led discovery and what it could mean for the future of cancer treatment. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

So often, when we hear about computing or computers, we think about disruption—some technological advancement that signals a radical break with all that came before. But what if that's wrong, or at the very least, incomplete? Today's guest, Devin Kennedy, argues that the twentieth-century history of computing is marked just as much by continuity as change—even between eras, like Fordism and post-Fordism, that we usually separate with a bright line. I promise you: it's the only book you'll read this year that'll take you all the way from Taylorism up to the 2010 Wall Street flash crash. Listen on to learn more.  

How did you learn about computers? And how in depth was your education? For some the answer is the Bi-Tran Six: an educational machine released in 1965. This was one of the first computer trainers, and it represents a very interesting take on design. It's a machine that's small, simple, and can even be disassembled while running. But exactly how was it designed, and what was it used for? What makes the Bi-Tran Six so different from other machines? Like Advent of Computing? Then check out the after show! Adjunct of Computing is now LIVE: YouTube Spotify Apple Podcasts  

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society. Help support our independent journalism at theguardian.com/infocus

This special episode features a short talk Peoples & Things host, Lee Vinsel, gave at the Jefferson Scholars Foundation in Charlottesville, Virginia. The event featured a great mix of historians and Science and Technology Studies scholars and was organized by Jacob Bruggeman, who recently finished his dissertation on the politics of computer hackers at Johns Hopkins University and is now headed to a job at Ohio State University. Thanks to Jacob for putting the event together and hearty congratulations on his accomplishments. In the talk, Vinsel argues that we are missing a synthetic social and economic history of how our adoption and use of digital technologies over the past fifty years has affected everyday life in many social spheres, including work, religion, politics, schools, and family life. He also points to some exemplary scholars who have laid some initial groundwork on these topics and gives some suggestions for primary and secondary sources we can use to do this work. Most of all, the talk is an open invitation to collective work - because doing this project well goes far beyond what any individual can do alone. 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

NVIDIA donated an advanced AI computing system to the Naval Postgraduate School (NPS) through the NPS Foundation, which installed it along with funding for complex research projects and operational problem-solving supporting the NPS-NVIDIA Cooperative Research and Development Agreement. The new platform gives NPS students and faculty access to frontier AI computing power and operates within the school's existing infrastructure.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.Our guest is the author of Prophecy, now longlisted for the Financial Times business book of the year (2026), as well as the editor of the Oxford Handbook of Digital Ethics. Her previous book, Privacy is Power, was chosen by The Economist as one of the best books of the year in 2020.Carissa advises companies and policymakers around the world on privacy and the ethics of AI, and is a member of UNESCO's Women 4 Ethical AI.References:* Breakfast Workshop - Santa Monica, CA - September 2, 2026 (free for MoP subscribers)* Prophecy: Prediction, Power, and the Fight for the Future, from Ancient Oracles to AI (Amazon)* Carissa Véliz on Substack (The Antidote)* Gary Marcus: Even more good news for the future of neurosymbolic AI (Substack, April 2026)* Refresher (January 28th special, Masters of Privacy): Data Protection vs. Privacy and Data Privacy (with Carissa Véliz, Gabriela Zanfir-Fortuna, Brendan Quinn, Tim Turner, and Markus Wünschelbaum)* Carissa Véliz: privacy is power (Masters of Privacy ES, Oct 2021 - Spanish)* Install the TODO.LAW suite on your own device (Dealroom, DPO Central, AI Sentinel).Send us your questions, feedback, or report requests (InScope, AuditScan) to: info[@]northend.law. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society. Help support our independent journalism at theguardian.com/infocus

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society. Help support our independent journalism at theguardian.com/infocus

AI companies have promised us world-shifting technology. But there's a cost: loud, unsightly datacentres that drain environmental resources. As the government pushes their rapid growth, can local communities do anything to push back? Madeleine Finlay speaks to the Guardian's global technology reporter Aisha Down about the backlash to datacentres across the UK and around the world. Help support our independent journalism at theguardian.com/sciencepod

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society. Help support our independent journalism at theguardian.com/infocus

A few years ago, Caltech Prof. and co-founder of Accelerated Understanding, Anima Anandkumar set out to develop the first open-source weather model with AI. Talking to experts in the field, she was met with skepticism. Weather is chaotic, physics simulations are hard, have been developed for decades, and require supercomputers, the data just isn't there. Despite reservations, Anima went forth and built. Within a year her team had developed FourCastNet, a predictive model that is competitive with the best physics-based simulations available. Thanks to Anima, and her follow up work, anyone can now predict weather accurately over a short timescale using consumer grade GPUs. In the fifteen or so science episodes we've released on Latent.Space, we've covered atoms, molecules, materials, biology, and math. Anima is a pioneer in studying physical systems that are continuous. Weather, fusion, and fluid or heat flow are huge areas of science that are extremely difficult to model: they are large, chaotic, and fundamentally multi-scale. This is a field the AI community has somewhat neglected, but one we expect will grow fast. We plan to cover large physical systems more in coming episodes.One thing you can glean from Anima's work is that this area of AI resists the scaling ideas that have permeated the rest of the field. The data isn't there: open source datasets in many of these domains are limited to tens or hundreds of thousands of examples, far from what token-hungry transformers need. Even worse, the resolution that physics demands pushes the context length into the hundreds of billions, so you can't just throw more tokens at the problem. That isn't a ceiling though, just a slower road: progress here comes from building in structure and inductive biases. Sorry for all you bitter-lesson-pilled language modelers.“If each dimension is even a few hundred grid points, which is where industrial scale starts... we're talking hundreds of billions to even a trillion context length. So forget ever having a transformer for anything of this scale, all of the world's compute will not be enough.”The math underneathTo tackle these systems, Anima pioneered a technique known as Neural Operators, one of the most beautiful theoretical developments in AI of the last decade. These allow you to combine data and physical laws to enable multi-scale inputs and outputs. We're no longer modeling a grid, we're modeling a function that evolves over many scales. This allows Anima and crew to build in priors based upon physical intuition.To see how physical priors are still helpful for AI modeling, let's revisit the problem of weather forecasting on a global scale. The earth is a sphere, which meant that accurate modeling involved using the right basis set — the Spherical Harmonics. Run a weather model on a grid and it blows up fast. Move to the natural basis for the problem and it stays stable far longer, long enough to roll out months ahead instead of days. Anima's Fourier Neural Operator learns directly in this frequency domain, and its spherical variant powers FourCastNet 3, which models the weather across the whole globe and keeps running stably far into the future.The physical world is forgivingAnima explored Neural Operators across other physical domains too, and one striking observation is that the physical world is more forgiving than you'd expect. In fusion, a few thousand samples are enough to predict plasma disruptions, and to do it a million times faster than traditional simulation.None of this is a rejection of scale, it is a different route to it. Anima ultimately still wants to build a “foundation model for physics”, a model that spans many phenomena and does both simulation and design. You get there by building in the structure the physical world already has, not by waiting for data that will never exist. It is a start, and it will take longer than the token-driven parts of AI, because for the physical world tokens were never the answer.“All of the things that work with deep learning, let's take them, but make them a bit more principled.”Weather is only the beginningNeural operators and weather modeling were a personal passion of mine, so we've spent much of this blog and the episode exploring this work. Anima has done so much more! In the episode, we cover several other recent developments from Anima:* Anima has a series of works integrating neural networks and automated proof techniques. We talk about TorchLean, a new framework that lets you write PyTorch-style networks inside the proof assistant Lean and formally verify them. This is a major step for proving bounds on neural networks, something that would be really important for someone trying to, e.g., add a neural network as part of the control loop to their fusion reactor!* Anima was recently appointed to the United Nations Scientific Advisory Board! We talk with her about her goals of bringing evidence-based viewpoints to policy, and how AI in scientific domains can improve people's lives all over the world.This episode has something for every AI or science nerd! Elegant math? ✅ Old school harmonic analysis? ✅ Fundamental developments in modern AI? ✅ Practical ways of modeling the physical world? ✅Give it a watch! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for society. Help support our independent journalism at theguardian.com/infocus