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 ...

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...

Background Balanced translocation (BT) carriers have a high risk of recurrent miscarriage and abnormal offspring due to unbalanced gamete production. Clinical genetic testing often fails to detect BTs ...

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 ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Generating mechanistic pathways of rare events like ligand unbinding or protein folding is a central challenge in molecular dynamics simulation of complex molecular processes. Here, we present ...

Active information gathering is a fundamental task in multi-robot systems in agriculture, with applications in precision planting and sowing, field management and inspection, intelligent weeding and ...