Bayesian neural networks (BNNs) treat neural network weights as random variables, which aim to provide posterior uncertainty estimates and avoid overfitting by performing inference on the posterior ...

B arbell curls, hammer curls, preacher curls—there are all sorts of biceps curl variations for you to try. But retired ...

Sparse modeling for signal processing and machine learning, in general, has been at the focus of scientific research for over two decades. Among others, supervised sparsity-aware learning (SAL) ...

The binary black holes in the universe are already astonishing enough, but researchers from the Shanghai Astronomical ...

This important study provides evidence for dynamic coupling between translation initiation and elongation that can help maintain low ribosome density and translational homeostasis. The authors combine ...

Meta’s Rosemount, Minn., data center uses Amrize AI-optimized concrete that gains strength 43% faster and slashes embodied ...

One in every three people is expected to have cancer in their lifetime, making it a major health concern for mankind. A ...

Scientists in Korea have developed a new methodology to employ machine-learning models in "smart" solar cell manufacturing. They utilized data collected from equipment that closely resembles actual ...

As Ghana intensifies efforts to fortify its financial ecosystem and build a resilient economic future, one Ghanaian expert is making global waves for harnessing artificial intelligence (AI) to ...

Patients with microsatellite instability-high (MSI-H) tumors are likely to have better clinical outcomes than other patients.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...