The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

SJ Group CEO Sean Chiao explains why regenerative design and AI are redefining how cities are planned, built and operated - ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

The global simulation market is poised for robust growth, driven by AI-powered modeling, immersive VR training, and ...

Opportunities include leveraging synthetic data, now over 50%, to enhance autonomous driving by filling long-tail scenarios. The full-process automated toolchain lowers costs and boosts efficiency, ...

This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...

Cardiac device therapy has significantly evolved since the introduction of the first implantable pacemaker and the subsequent ...