Graph-based machine learning is the next wave of digital disruption Machine learning has been getting a lot of attention over the last year or so. This is partly because a variety of companies have ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

Led by Specially Appointed Associate Professor Yusuke Hashimoto and Professor Takaaki Tomai (FRIS) in collaboration with Assistant Professor Xue Jia and Professor Hao Li (WPI-AIMR), the research study ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Researchers built an AI materials map uniting experimental and computational data, guiding faster, more accurate material selection for diverse applications. (Nanowerk News) Selecting the right ...