Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental strategies: simplifying in steps or mentally rewinding. MIT researchers showed ...

The ChatGPT maker reveals details of what’s officially known as OpenAI o1, which shows that AI needs more than scale to advance. The new model, dubbed OpenAI o1, can solve problems that stump existing ...

Cambridge, MA – To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

To the editor: Guest contributor Iddo Gefen not only laments the analogy between the human brain and artificial intelligence, but he also suggests that human minds don’t learn or recall like an AI ...

In a recently released evaluation, global AI models achieved scores comparable to top human performers in the college ...