Latest from MIT : Technique could efficiently solve partial differential equations for numerous applications

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function. To solve these difficult equations, researchers use high-fidelity numerical solvers, which can be very time-consuming and computationally expensive to…

Latest from MIT Tech Review – AI for everything: 10 Breakthrough Technologies 2024

WHO Google, Meta, Microsoft, OpenAI WHEN Now When OpenAI launched a free web app called ChatGPT in November 2022, nobody knew what was coming. But that low-key release changed everything. By January, ChatGPT had become the fastest-growing web app ever, offering anyone with a browser access to one of the most powerful neural networks ever…

Latest from MIT : AI agents help explain other AI systems

Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial intelligence systems work requires a substantial amount of experimentation: making hypotheses, intervening on behavior, and even dissecting large networks to examine individual neurons. To date, most…

Latest from MIT : Complex, unfamiliar sentences make the brain’s language network work harder

With help from an artificial language network, MIT neuroscientists have discovered what kind of sentences are most likely to fire up the brain’s key language processing centers. The new study reveals that sentences that are more complex, either because of unusual grammar or unexpected meaning, generate stronger responses in these language processing centers. Sentences that…

Latest from MIT : The creative future of generative AI

Few technologies have shown as much potential to shape our future as artificial intelligence. Specialists in fields ranging from medicine to microfinance to the military are evaluating AI tools, exploring how these might transform their work and worlds. For creative professionals, AI poses a unique set of challenges and opportunities — particularly generative AI, the…

Latest from MIT Tech Review – How machine learning might unlock earthquake prediction

In September 2017, about two minutes before a magnitude 8.2 earthquake struck Mexico City, blaring sirens alerted residents that a quake was coming. Such alerts, which are now available in the United States, Japan, Turkey, Italy, and Romania, among other countries, have changed the way we think about the threat of earthquakes. They no longer…

Latest from Google AI – 2023: A year of groundbreaking advances in AI and computing

Posted by Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. As ongoing research pushes AI even farther, we look back…

Latest from MIT : Leveraging language to understand machines

Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. This makes it an excellent source of data to train machine-learning systems on. Two master’s of engineering students in the 6A MEng Thesis Program at MIT, Irene Terpstra ’23 and Rujul Gandhi ’22, are…

Latest from MIT : MIT in the media: 2023 in review

It was an eventful trip around the sun for MIT this year, from President Sally Kornbluth’s inauguration and Mark Rober’s Commencement address to Professor Moungi Bawendi winning the Nobel Prize in Chemistry. In 2023 MIT researchers made key advances, detecting a dying star swallowing a planet, exploring the frontiers of artificial intelligence, creating clean energy…