Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

Alibaba Qwen 3.5 Small models run offline on phones and laptops; 0.8B and 2B sizes, with mixed reliability on hard tasks.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using artificial intelligence (AI). This article reviews some of the highlights from ...

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

As enterprise digital transformation advances with increasing depth and precision, the ability to efficiently manage and harness massive datasets has become the core competitive barrier. Facing the ...

Nvidia's $26B open source bet ensures 90% of AI research runs on CUDA—CrowdStrike provides the security layer for enterprise ...

AI labs and frontier model developers including Anthropic, Meta, Mistral AI and OpenAI are looking to use the NVIDIA Vera Rubin platform to train larger, more capable models and to serve long-context, ...

Thermally integrated Carnot battery (TI-CB) systems offer unique advantages for industrial waste heat recovery, but their performance under fluctuating, off-design conditions remains poorly understood ...

The global shift toward industrial automation and the rapid integration of renewable energy sources have fundamentally transformed the requirements for modern power distribution networks. As grids ...

A parliamentary panel urges DIPAM to adopt a golden share model to retain PSU control as government stakes potentially drop ...