Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...

AI washing is spreading. Fake claims, half-truths, and misleading marketing across healthcare, tech and consumer products are ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Blood‐based biomarkers for stroke subtyping could improve triage in emergency settings. We used cross‐platform proteomics to identify plasma biomarkers differentiating major stroke diagnostic groups.

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...

Abstract: Reducing energy consumption has become a pressing need for modern machine learning, which has achieved many of its most impressive results by scaling to larger and more energy-consumptive ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...