Author: Advanced AI Editor

AI is already transforming fields like graphic design, movie making, and computer programming, but it might soon upturn the hard sciences as well. David Silver, a prominent researcher at Google Deepmind and the lead researcher at AlphaGo, has offered some compelling insights into the future of mathematics and the role of artificial intelligence. He hints at a future where AI mathematicians not only solve some of the world’s most challenging mathematical puzzles but fundamentally reshape the field itself. “The Clay Mathematics Institute, in the year 2000, offered a million-dollar prize for seven different mathematical problems,” Silver was asked in an…

Vanessa Parley, director of research at Stanford’s Institute for Human-Centered AII, speaks in a video about the 2025 AI Index. Image: Stanford HAI The AI industry is undergoing a complex and transitional period, according to Stanford University’s 2025 AI Index, published by the Institute for Human-Centered AI. While AI continues to transform the tech sector, public sentiment remains mixed, underscoring the rapidly shifting nature of the field. Below are key takeaways from Stanford’s latest findings on the current state of artificial intelligence — both generative and not generative. Investment in AI increases Investment in AI is growing. Private investors poured…

An IBM Z employee (left) shows launch event attendees the new z17 mainframe via a plexiglass prototype model (right) at IBM’s One Madison office.Melinda Huspen/American Banker IBM says its latest mainframe comes with the ability to run artificial intelligence models at high speeds and to provide quantum-grade encryption on transactions and data.The IBM z17 features expanded on-chip AI capabilities and upgraded hardware and software designed to assist in fraud prevention and quantum security. The “Z” stands for zero downtime, according to IBM Z Chief Product Officer Tina Tarquinio.The z17 model was unveiled during a launch event for IBM Z clients…

The breakthrough could lead to soft, wiggly robots TBS Report 13 April, 2025, 11:00 am Last modified: 13 April, 2025, 03:15 pm MIT engineers grew an artificial, muscle-powered structure that pulls both concentrically and radially, much like how the iris in the human eye acts to dilate and constrict the pupil. Image: MIT”> MIT engineers grew an artificial, muscle-powered structure that pulls both concentrically and radially, much like how the iris in the human eye acts to dilate and constrict the pupil. Image: MIT MIT engineers have had a breakthrough in making robots more biologically compatible, something that scientists have…

China has U.S. chip giants Nvidia (NVDA) and Broadcom (AVGO) in its sights after it revealed details of a huge $8.2 billion AI funding program.Stay Ahead of the Market: Chinese Self-Sufficiency The state-backed AI Industry Investment Fund will, according to the South China Morning Post, be dedicated to early-stage AI projects. But a large focus will be on developing semiconductor expertise to help make China more independent when it comes to chip production. Indeed the new fund draws contributions from Phase III of the China Integrated Circuit Industry Investment Fund—also known as the “Big Fund”—which was set up last year…

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Meta’s new flagship AI language model Llama 4 came suddenly over the weekend, with the parent company of Facebook, Instagram, WhatsApp and Quest VR (among other services and products) revealing not one, not two, but three versions — all upgraded to be more powerful and performant using the popular “Mixture-of-Experts” architecture and a new training method involving fixed hyperparameters, known as MetaP. Also, all three are equipped with massive context windows — the amount of information that an AI language model…

#gpt4 #mit #ai A new paper claims to use GPT-4 to solve 100% of a set of MIT university exercises. Some people are skeptic and their investigations reveal more than one problem with this paper… OUTLINE: 0:00 – ChatGPT gives out Windows 10 keys 0:30 – MIT exam paper 2:50 – Prompt engineering 5:30 – Automatic grading 6:45 – Response by other MIT students 8:30 – Unsolvable questions 10:50 – Duplicates 13:30 – Cascading the heuristics 22:40 – Other problems 29:25 – OpenLLaMA 13B published References: Links: Homepage: Merch: YouTube: Twitter: Discord: LinkedIn: If you want to support me, the…

❤️ Check out Microsoft Azure AI and try it out for free: Apple Intelligence: 📝 My earlier paper on brush stroke synthesis: 📝 My paper on simulations that look almost like reality is available for free here: Or this is the orig. Nature Physics link with clickable citations: 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Alex Balfanz, Alex Haro, B Shang, Benji Rabhan, Gaston Ingaramo, Gordon Child, John Le, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Sundvall, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Tybie…

Greg Lukianoff is a free speech advocate, first-amendment attorney, president of FIRE – Foundation for Individual Rights and Expression, and co-author of The Coddling of the American Mind and a new book The Canceling of the American Mind. Please support this podcast by checking out our sponsors: – Policygenius: – Babbel: and use code Lexpod to get 55% off – BetterHelp: to get 10% off – InsideTracker: to get 20% off – ExpressVPN: to get 3 months free TRANSCRIPT: EPISODE LINKS: Greg’s Twitter: Greg’s Instagram: FIRE: FIRE on Twitter: *** Greg’s Books *** The Canceling of the American Mind: The…

How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join Research Lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education. Further reading Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach: Timecodes: 00:06 Intro 01:37 Breaking into education 04:08 AI tutor 08:12 The future 10:38 Irina’s journey 13:53 Reasoning and teaching 15:05 The optimal strategy for teaching 17:54 Good pedagogy 21:15 GenAI…