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 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 ...

A new paper develops a structured tool to evaluate the challenges surrounding artificial intelligence's accountability and ...

Matrix computations are both fundamental and ubiquitous in computational science and its vast application areas. Along with the development of more advanced computer systems with complex memory ...

A new algorithm for reducing the bandwidth and profile of a sparse matrix is described. Extensive testing on finite element matrices indicates that the algorithm typically produces bandwidth and ...

In the new round of AI technology competition, Yingzi Network showcased its latest AI smart home product matrix at the 2025 World Intelligent Industry Expo, marking the company's continuous innovation ...

Yingshi Network is committed to becoming a trusted provider of smart home and IoT cloud platform services. Its core competitiveness lies in core self-developed technologies such as smart hardware, ...