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

A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision ...

Google’s Gemma 4 12B brings advanced multimodal AI and long-context reasoning to enterprise laptops with just 16GB of memory ...

The company has announced the release of a new Gemma 4 model that fills a gap in the lineup that launched earlier this year.

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.

Google is bringing its AI Edge Gallery app to macOS, letting Apple Silicon Macs run Gemma models entirely offline.

Physical AI has become one of the field’s biggest ambitions. These are machines that do more than generate text or images, ...

Randomness forms a crucial backbone of modern society, where every encryption key, secure transaction and digital signature ...

Google has launched Gemma 4 12B, a new open-weight artificial intelligence model that can run locally on laptops with as ...

Google DeepMind just rolled out Gemma 4 12B, a 12-billion-parameter model that can parse text, images, audio, and video ...

At the exhibition, Xense Robotics presented a major showcase of VTLA model-driven dual-arm long-horizon compliant ...