C.H. Robinson has unveiled the Agentic Supply Chain, a new AI-powered logistics platform designed to help companies across industries instantly deploy artificial intelligence in their supply chains.

Al Mendoza, EY U.S. & Americas supply chain leader and Brian Waits, principal, supply chain and operations consulting, Ernst & Young LLP · September 9, 2025 · Editor’s note: Leadership Lens, appearing ...

Avalanche C-Chain hit 35.8M transactions in August, marking its second-highest monthly total. Increased C-Chain activity is boosting demand for AVAX, supporting network fees and staking. AVAX price ...

According to DeepLearning.AI, Google researchers have developed AlphaEvolve, an innovative AI agent that leverages Gemini 2.0 Flash and Pro models to autonomously run, assess, and iteratively edit ...

MARSHALLTOWN, Iowa--(BUSINESS WIRE)--The Integration Group (TIG), a portfolio company of Maxwell Street Capital Partners (Maxwell Street), has acquired Matrix Management (Matrix), a Chicago-based ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Vietnamese police have arrested a gang accused of being behind Matrix Chain, a crypto scam that defrauded investors of almost $400 million. The operation saw "many elite officers and soldiers" working ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Arceon (Delft, Netherlands) produces a family of ceramic matrix composites (CMC) called Carbeon which comprise uncoated carbon fiber reinforcement in a carbon-silicon carbide matrix (C/C-SiC) made ...

Surging demand for electricity, soaring electricity prices, and risks to supply chains are creating an imperative for innovative ways to control energy costs, and increase resilience by diversifying ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.