More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Recent advancements in systems biology have been propelled by the increasing power of omics technologies—spanning genomics, transcriptomics, proteomics, ...

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 ...

The explosive growth of electric vehicles, renewable energy integration, and large-scale energy storage systems has placed ...

QINGDAO, SHANDONG, CHINA, January 19, 2026 /EINPresswire.com/ -- The landscape of environmental monitoring and ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than linger. They actively shape how people survive in extreme environments. The ...

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 ...

Abstract: To address the challenges of low sampling efficiency in obstructed environments, high fingerprint database construction costs, and insufficient positioning accuracy in indoor visible light ...

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 ...

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

ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...