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 human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart ...

The company claims its ability to tackle complex, multistep problems paves the way for much more proficient AI agents.

A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when ...

In particular, that marathon refactoring claim reportedly comes from Rakuten, a Japanese tech services conglomerate that "validated [Claude's] capabilities with a demanding open-source refactor ...

B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on ...

The human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart ...

According to Anthropic, Opus 4 is dramatically better at tasks that require ... Additionally, the new model can use multiple software tools in parallel, and it's better at following instructions ...

On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to ...

The promise of a new type of computer chip that could reshape the future of artificial intelligence and be more ...