machine-learning

Researchers at Meta, University of British Columbia, and partner institutions have developed hyperagents—AI systems that optimize both their task performance and the mechanisms controlling their self-improvement. Unlike previous self-improvement approaches locked to coding tasks, DGM-Hyperagents (DGM-H) demonstrate significant gains across four domains and can transfer improvement strategies to entirely new tasks.

AI2 has released MolmoSpaces and MolmoBot, robotics models trained exclusively in simulation that transfer directly to real robots without manual real-world data collection or fine-tuning. The approach eliminates months of teleoperated demonstrations typically required for simulation-trained robots. Both systems are open-source.

Qualcomm and Wayve announced a technical partnership to integrate Wayve's AI driving layer with Qualcomm's hardware platform for production-ready advanced driver assistance systems. The collaboration aims to accelerate autonomous vehicle innovation by combining hardware and software expertise.