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.

Aiming to simplify the deployment of IP video across multi-subnet networks, achieving compatibility reduces manual effort by ...

Unitree Robotics humanoid robots dance during the opening day of its Asia's first embodied intelligence experience store in Shanghai on May 31, 2026. Jade GAO/Getty Images China's government issued a ...

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

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...

North America’s big pro AV expo is nearly upon us. Installation looks at this year's major themes, including “the next ...

A new 3D image projection system marks a major step toward overcoming a longstanding problem for holographic technology.

A project at the University of Strathclyde in Glasgow has seen WyreStorm’s NetworkHD AVoverIP ecosystem, delivered in ...

Encoders are a vital component in many applications that require motion control and feedback information. Whether a system’s requirement is speed, direction, or distance, an encoder produces control ...

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.

Skymizer said it unveiled HTX301, a decode-first accelerator chip for on-premises AI inference, at COMPUTEX 2026, to shift large-model serving away from cloud GPU racks and onto single PCIe cards that ...