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

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

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

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

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 systems has driven researchers to an unlikely ally—light itself.

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

The rapid growth of generative AI, large language models (LLMs) and increasingly sophisticated on-device and data-centre AI workloads means that the underlying silicon matters more than ever. Whether ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This ...

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 ...