I built a local AI setup out of two old GPUs that sell for cheap, and it beats a single new card ...

More parameters doesn't always mean more capabilities.

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

At the architectural level, Command A+ represents a major evolution from Cohere’s previous dense models. It is a decoder-only Sparse Mixture-of-Experts (MoE) Transformer. While the model houses a ...

Qdrant is launching version 1.18 of its platform, introducing TurboQuant, a new quantization method developed by Google Research. According to the company, TurboQuant applies a fast Hadamard rotation ...

We developed a Geneformer model with an expanded pretraining dataset of more than 100 million single-cell human transcriptomes. The increased data diversity and model size improved downstream ...

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...