AI

Baidu introduces the AI Search Paradigm, a modular multi-agent system that dynamically handles complex queries, marking a significant advancement in intelligent search technology.

Quark Health’s large model successfully passes all 12 core chief physician exams in China, demonstrating advanced medical reasoning and integrated AI capabilities in healthcare.

A global team created an advanced disease map using 95 rounds of trillion-pixel imaging, uncovering kidney protein distributions and disease mechanisms with unprecedented high-resolution data analysis.

After DeepMind’s IMO gold medal win, Meta swiftly recruited key AI scientists, highlighting intense talent competition among tech giants in the AI race.

OpenAI and partners are developing a massive 5GW data center for the Interstellar Gate project, while Elon Musk announces a bold 5-year plan to scale AI infrastructure to 50 million H100-equivalent GPUs.

Tsinghua's MultiCogEval framework systematically assesses large language models' medical abilities across all cognitive levels, addressing real-world clinical challenges.

AI-driven experimental designs, from LIGO enhancements to quantum experiments, showcase innovative, odd approaches that push scientific boundaries and achieve remarkable results.

Oxford researchers developed a massive antibody-antigen dataset and model, exploring the data needs and limits of large-scale AI models in predicting binding affinity, with over a million data points.

Sergey Levine discusses the challenges of training large models with vast data, exploring alternatives like simulation and proxy data, and the limitations of current approaches in robotics.