In late 2025, Nvidia made headlines with a strategic deal involving Groq, a high-profile AI chip startup focused on low- ...

In the era of artificial intelligence (AI), central processing units (CPUs), which had been overshadowed by graphics ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Nowhere is this convergence more evident than in the emerging field of sensory augmentation, where artificial intelligence ...

Discover why Solana and Monad are leading the parallel execution race in 2026. Learn how their architectures deliver ultra-fast transactions, low fees, and scalable performance for the future of Web3.

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Few topics in science are as fascinating and mind-bending as quantum computing and parallel universes. These concepts, once the exclusive domain of science fiction, are now being seriously explored by ...

With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...