LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

In today’s radio plant, one of the biggest opportunities for air chain improvement is surprisingly simple: Remove analog ...

Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

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