MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Learn how to grow 9 stunning large houseplants from cuttings in water with this easy propagation method that turns small cuttings into lush, thriving indoor plants perfect for decorating your home, ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Imre Szenttornyay, CEO of Cielo IT LLC, empowers business owners to scale their operations profitably with AI-powered SmartSigns technology. When you manage a network of retail or franchise locations, ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Recursion, Roche, and its Genentech subsidiary have unveiled the latest product of their nearly four-year artificial intelligence (AI) drug discovery collaboration, a whole-genome map of specialized ...

In a recent social media post, Peter Ray, senior director of medicinal chemistry at Recursion Pharmaceuticals, Inc. (NASDAQ:RXRX), drew attention to a new article in WIRED from Veronique Greenwood ...

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 ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

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 ...