IEEE

Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning

Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...
IEEE

An Investigation Into the Application of an RL-GA-Based Multi-Modal Motion Somatosensory Optimization Control Strategy for a Novel Rehabilitation Robot

Abstract: The increasing prevalence of balance disorders presents significant challenges to rehabilitation therapy, prompting the development of rehabilitation robots as effective tools for motion ...
Frontiers

Protein-ligand binding affinity prediction using multi-instance learning with docking structures

Introduction: Recent advances in 3D structure-based deep learning approaches demonstrate improved accuracy in predicting protein-ligand binding affinity in drug discovery. These methods complement ...
ZDNet

How to zip large files on your Windows 11 PC (and whether third-party tools are necessary)

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
Wired

Poems Can Trick AI Into Helping You Make a Nuclear Weapon

You can get ChatGPT to help you build a nuclear bomb if you simply design the prompt in the form of a poem, according to a new study from researchers in Europe. The study, "Adversarial Poetry as a ...