The progress in AI over the past decade is beginning to suggest answers to some of our deepest questions about human intelligence. Below, Tom Griffiths shares five key insights from his new book, The ...
Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.
Artificial intelligence operates through statistical pattern recognition, ingesting massive datasets to predict outcomes without consciousness, emotions, or true reasoning. Unlike humans, AI cannot ...
Live Science on MSN
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results