Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
Recursive Flint is a 40B MoE local coding model with 2.5B active parameters, scoring 74.2% on SWE-bench Verified.
A benchmark study combining entropy-guided partitioning, machine learning and fuzzy inference improved voice-based ...
Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...
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