Tag: Nature Machine Intelligence

A new framework called LACE uses large language models and complementary evolution to automatically design teams of specialist heuristics that ...

Recurrent neural networks trained on demanding multitask curricula spontaneously develop modular, brain-like architectures, showing that computational demands rather than wiring ...

Researchers have built a vectorized simulation and reward framework that trains autonomous microrobot navigation policies in under ten minutes, enabling ...

Researchers adapted the human implicit association test for reasoning AI models and found that stereotype-inconsistent tasks demand measurably more computational ...

A new Nature Machine Intelligence study provides causal evidence that language models actively use internal confidence signals to shape their ...

A Nature Machine Intelligence perspective argues that large language models can serve as optimizers for experimental discovery, but only if ...

New research shows that aligning artificial intelligence models with human brain activity during training can actively guide machine reasoning and ...

An international team proposes the RHEM framework to make AI-infused hybrid Earth system models transparent, trustworthy and reproducible.