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Learn how the OpenSpace framework enables self-evolving AI agents by integrating modular skills, multi-modal coordination, lineage tracking, and low-cost reuse strategies for scalable and adaptive AI systems.
Learn how SkillNet enables the creation of modular, reusable AI skills for building intelligent agents capable of search, evaluation, graph analysis, and task planning.
Researchers at the Allen Institute for AI and UC Berkeley have developed EMO, a mixture-of-experts model that maintains near-full performance using only 12.5% of its experts, making it more practical for memory-constrained settings.
Learn how Qualcomm is shrinking AI reasoning models to fit smartphones, making them faster, more private, and more reliable for everyday use.