A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

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Carnegie Mellon University offers an interdisciplinary Ph.D program in Algorithms, Combinatorics, and Optimization (ACO). This program is the first of its kind in the United States. It is administered ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Led by Dr. Patrick Treuthardt of the North Carolina Museum of Natural Sciences, the project asks everyday volunteers to ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Algorithm-based radio labeling for optimal channel assignment in outerplanar graphs Baskar Mari Ravi Sankar Jeyaraj Frontiers in Computer Science doi 10.3389/fcomp.2026.1748038 923 views ...

AI agents are your new colleagues - how to get the best results ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Algorithm-based radio labeling for optimal channel assignment in outerplanar graphs Baskar Mari Ravi Sankar Jeyaraj Frontiers in Computer Science doi 10.3389/fcomp.2026.1748038 923 views ...