MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.
New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
Astrophysicists think that black hole masses are hierarchical. The largest are supermassive black holes (SMBH) like the one ...
A growing number of quantum engineers worldwide have been trying to realize large-scale quantum networks, which consist of ...
XDA Developers on MSN
I tried a new 8B local LLM, and its design might be the biggest shift since DeepSeek R1
Zaya1-8B is a huge shift in LLMs, and the results are impressive.
The company that put $13bn into OpenAI now wants the option not to need it. Cursor was the first try and fell apart over GitHub Copilot; talks with Stanford diffusion-LLM startup Inception are alive, ...
2025-12-01 Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe-Paper- ...
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AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Mercury 2, the first diffusion-based reasoning large language model, introduces a new approach to token generation by refining multiple tokens in parallel rather than sequentially. This shift enables ...
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