AI fails 99% of FormulaOne challenges, exposing gaps in deep reasoning. Discover what this means for future AI research and why it matters.

These macro-challenges impact the readiness and effectiveness of development teams in addressing complex electronic system requirements. To overcome these challenges, next-generation electronic design ...

DeepMind set up its own programming contests and then fed the results into the system: problem description, working code, failing code, and the test cases used to check it.

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...