Soft elastic material uses energy-free floppy modes to perform and reprogram calculations, enabling smarter robots and ...

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

Aalto University has demonstrated Tensor calculations using light. “Tensor operations are the kind of arithmetic that form ...

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 ...

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

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

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 ...

A new optical feature extraction engine, dubbed OFE2, reaches 12.5 GHz, enhancing AI applications in healthcare and finance with unprecedented speed and efficiency.