The AI agent-tool startup founded by former Twitter CEO Parag Agrawal has raised $100 million, led by Sequoia, months after ...

Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

Quantum Art Ltd., a quantum computing startup focused on enhancing computational throughput, said today it has extended its ...

Alibaba Group's chip unit Pingtouge quietly launched a high-end artificial intelligence processor called the "Zhenwu 810E" on Thursday. The self-developed chip completed what industry experts called ...

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that could also influence future artificial intelligence (AI) systems. In most ...

HSINCHU, April 15, 2026 /PRNewswire/ -- Artilux today announced Inception™, an AI computing paradigm shift from conventional digital electronics to novel hybrid optoelectronics, delivering ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

Exam 1 will cover lectures 1-14 (i.e. up to and including Snooping Based Multiprocessor Design). Exam 2 will cover lectures 15-27 (i.e. Prefetching through Parallelism in Database Management Systems).

Final Report Due: Thursday, April 30th, 11:59pm Poster Sessions: Friday, May 1st, 8:30am-11:30am (15-418 groups) and 5:30pm-8:30pm (15-618 groups) ...

Artificial intelligence systems, and large language models (LLMs) in particular, have become almost ubiquitous. The implications are many. Among them: serious concerns about massive amounts of energy ...