South Korean firm will invest in an advanced packaging plant in Cheongju to expand HBM supply as AI demand tightens memory.

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...

2025-12-9: Added the LVLLM_MOE_USE_WEIGHT environment variable to support MOE modules using two modes to infer fp8 models LVLLM_MOE_USE_WEIGHT="KEEP": lk_moe inference uses the original weight format ...

Developed using Anthropic’s Claude AI model, the new language is intended to provide memory safety without garbage collection ...

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.