AI Briefing#scientific-ai
The latest AI and developer news about #scientific-ai, with the original source and a short summary.
The latest AI and developer news about #scientific-ai, with the original source and a short summary.
Post-trained from GLM-5.3, the model achieves a 38.3% pass rate on FrontierScience Research, surpassing GPT-6 Astra's 33.3% at max thinking.
The open-weight model is post-trained from GLM-5.3 to assist with reviewing results and planning experiments in lab settings.
The collaboration aims to train a single pretrained Large Physics Model on billions of simulated LHC collisions to streamline particle reconstruction and analysis.
InternLM has released Intern-S2-397B, a 397B-parameter multimodal model designed for scientific problem-solving and long-horizon agent tasks.
AI agents computationally discover new materials but mostly fail at designing synthesis pathways.
Los Alamos National Laboratory is building next-generation supercomputers powered by NVIDIA Vera CPUs to maximize AI agent performance for scientific research.
Google DeepMind has unveiled Co-Scientist, a multi-agent AI system that helps generate scientific hypotheses.
Improving the performance of biology agents requires redesigning human-centric data infrastructure to be agent-friendly.
Google has shifted its scientific AI strategy by announcing 'Gemini for Science,' centered on LLM-based agents instead of specialized models.
InternLM has released Intern-S2-Preview, a 35B scientific multimodal model.