Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
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.
Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
Aiming to simplify the deployment of IP video across multi-subnet networks, achieving compatibility reduces manual effort by ...
Google's Gemma 4 12B brings multimodal AI — audio, video, and text — to a standard 16GB laptop in 2026. No cloud required. Here's what it does and why it matters.
A project at the University of Strathclyde in Glasgow has seen WyreStorm’s NetworkHD AVoverIP ecosystem, delivered in ...
Google Gemma 4 12B, released June 3, is an open-weight multimodal model that processes text, images, audio, and video in a ...
Microsoft on Thursday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator — ...
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