Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

The MarketWatch News Department was not involved in the creation of this content. SEATTLE, Nov. 05, 2025 (GLOBE NEWSWIRE) -- WatchGuard(R) Technologies, a global leader in unified cybersecurity and ...

Cognizant will use Claude models and agentic tooling in Cognizant platforms to help clients modernize and scale AI adoption. Cognizant will provide Claude to up to 350,000 associates across key ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

PARIS & PHOENIX, Ariz.--(BUSINESS WIRE)--TotalEnergies (Paris:TTE) (LSE:TTE) (NYSE:TTE), a major integrated energy company, and Cognite, a leader in industrial AI, announced today a new phase of their ...

SOFIA, BULGARIA, September 19, 2025 /EINPresswire.com/ -- The insect-biotech company Nasekomo, owned by French entrepreneurs and operating in Sofia, Bulgaria, says it ...

PHOENIX, Sept. 9, 2025 /PRNewswire/ -- Trinity Capital Inc. (NASDAQ: TRIN) (the "Company"), a leading alternative asset manager, today announced the commitment of $15 million in growth capital to TQA, ...

I'm trying to test matrix multiplication on V100 using cutlass 3.9.2 and simulate the process using Accel-sim, but found that when the matrix size is small (e.g. m,n,k=512 and m,n,k=1024) everything ...

Good Morning, Asia. Here's what's making news in the markets: Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a ...

Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...