Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

For decades, artificial intelligence advanced in careful, mostly linear steps. Researchers built models. Engineers improved performance. Organizations deployed systems to automate specific tasks. Each ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

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This important study employs a closed-loop, theta-phase-specific optogenetic manipulation of medial septal parvalbumin-expressing neurons in rats and reports that disrupting theta-timescale ...