Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

William Adkins said NRO’s proliferated architecture logged over 400,000 collections in 2025 and advanced the use of AI and ...

Researchers have developed a new AI-assisted tool that helps computer architects boost processor performance by improving memory management. The tool, called CacheMind, is the first computer ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

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

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

The term supercomputer gets tossed around, and while there's still no real definition, it takes some serious performance for ...

Written from the perspective of a systems integrator working across multiple regulated sectors, this paper examines how statutes and standards from five independent regulatory traditions — civil ...

Abstract: We introduce Cygnus, an energy-efficient octa-core RISC-V vector processor compliant with the RVV 1.0 specification targeting digital signal processing (DSP) applications. This chiplet ...

The transition from general-purpose computing to AI-specific hardware is driven by the specific computational and energy requirements of deep learning models. As these models scale to trillions of ...

New initiative aimed at developing optical computing technologies to overcome the performance and energy limitations of traditional electronic architectures New York, NY, March 18, 2026 (GLOBE ...

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...