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 ...

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

Abstract: When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects better. The existing methods lose ...

Not bad for limited hardware ...

Abstract: Reservoir numerical simulation is an important tool in the practical production process of oilfields. However, in key workflows such as production optimization, due to the inherent high ...

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 ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

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

Gemma 4 12B is a new model in the Gemma 4 family announced by Google on June 3, 2026. It is positioned as an "encoder-free unified multimodal model optimized for laptops." The official blog (Google ...