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 ...

Abstract: Quantization has become a key method for enabling deep learning (DL) inference on resource-constrained embedded systems. As the demand for privacy-preserving, low-latency, and ...

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 ...

Quantization in neural network inference refers to the process of mapping high-precision parameters and activations to lower-precision representations, typically using integer or even binary values.

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 ...

Abstract: The growing scale of large language models (LLMs) not only demands extensive computational resources but also raises environmental concerns due to their increasing carbon footprint. Model ...

t81lib is a modern, header-first C++20 and Python library that brings balanced ternary arithmetic, packed ternary GEMMs, Python bindings, and quantization helpers to deterministic numerics and ternary ...