Nearly a quarter of Deepmind's AlphaFold researchers have left the company, with several joining Anthropic. The shift marks a strategic pivot away from long-term scientific projects.
A self-taught AI engineer claims to have linked Linear A to Semitic languages using AI tools, compiling a 408-word lexicon based on a single hypothesis.
Anthropic's AI model found weaknesses in cryptographic algorithms, including a reduced version of AES, with no immediate impact on current systems.
Google's new study of 15 million AI interactions finds AI use remains shallow and collaborative, with less than 25% of work tasks significantly impacted.
Rohde & Schwarz highlights the limitations of static threat libraries against mode-agile emitters, which now dominate modern RF environments.
AWS announced task-aware knowledge compression (TAKC) to enhance enterprise AI workflows by pre-compressing knowledge bases into task-specific representations, reducing token count by 8x to 64x.
METR's new metric calculates when AI agents exceed human cost-effectiveness, estimating $2,500 per one-percent speedup in human effort.
NVIDIA outlines the growing role of simulation in training physical AI systems, with a focus on robotics and control policies.
Anthropic's Claude Opus 5 scored 30.2 percent on the ARC-AGI-3 benchmark, nearly four times the previous record of 7.8 percent set by OpenAI's GPT-5.6 Sol (Max).
Kimi K3 scored 32.2% on ExploitBench, while leading U.S. models reached 76.2% in cyber exploit development, per a joint evaluation by the British AI Security Institute and the U.S. Center for AI Standards and Innovation.
Anthropic announced a $200 million fund to support research on AI's economic impacts, focusing on worker adaptation and policy interventions.
An AI system helped Pakistani judges clear 1,848 more cases per year per district, yielding a $38.50 return per dollar invested, according to a study.