High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

A new technique that efficiently retrieves scattered light from fluorescent sources can be used to record neuronal signals coming from deep within the brain. The technique, developed by physicists at ...

A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...

This is a preview. Log in through your library . Abstract The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

🔥 Patent Update | The State Grid Shanghai Energy Internet Research Institute has recently applied for a new patent titled "A Method and Device for Multi-Objective Heuristic Power Flow Equation Matrix ...

IMOU, a leading smart IoT solution and service provider, is today launching IMOU SENSE, its self-developed AI algorithm matrix with a tagline of "So Smart, So Accurate". IMOU SENSE has been developed ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 43, No. 3 (1994), pp. 533-540 (8 pages) This item is part of a JSTOR Collection. For ...