Artificial Intelligence (AI) has shown strong potential in supporting clinical decision-making through Clinical Decision Support Systems (CDSSs). However, ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, ...

Google DeepMind's AlphaEvolve uses Gemini to evolve new game theory algorithms that rival or beat human-designed methods, ...

NASA’s Perseverance rover has detected nickel concentrations in Martian bedrock that far exceed what geologists would expect ...

To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

A collaboration between scientists at Imperial College London and Swiss data analytics developer DataHow has created a new software function now available for Design of Experiment (DoE) for upstream ...

Abstract: In surrogate-assisted expensive multiobjective evolutionary optimization, selecting individuals for expensive function evaluations has received widespread attention to improve the model.

On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...