At the Financial Analyst Day, AMD's leadership presented many plans for the coming years. Much remained unspecific, but there ...

R esearchers at FOM Institute for Atomic and Molecular Physics (AMOLF) in the Netherlands have developed a new type of soft, ...

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly ...

The rapid growth of generative AI, large language models (LLMs) and increasingly sophisticated on-device and data-centre AI ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...

Axelera AI, a provider of purpose-built AI hardware acceleration technology, has announced the Europa, an AI processor unit (AIPU), targeting multi-user generative AI and computer vision applications.