Abstract: Deep Reinforcement Learning (DRL) makes a big improvement for robotic control. However, training stable and efficient bipedal gaits like walking and running still remains challenging.

Abstract: Network reconfiguration can maintain the optimal operation of distribution network with increasing penetration of distributed generations (DGs). However, network reconfiguration problems may ...

This new AI model, Learn Your Way, shows what is possible when Google’s cutting-edge AI research is combined with effective learning science. It was developed in partnership with pedagogy specialists ...

While younger generations navigate life getting premium services at zero cost, many of us are unknowingly hemorrhaging ...

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

Let’s be real for a moment: we’ve all looked at those massive jackpot numbers on a billboard and thought, “What if?” It’s a ...

An artificial intelligence-based tool can predict the medical trajectories of individual premature newborns from blood samples collected soon after they are born, a Stanford Medicine-led study has ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

If you’ve been watching your analytics lately, you might have noticed a confusing trend: organic search numbers are dipping, ...

Mwale, L. and Nhlapo, B. (2026) High Voltage Direct Current (HVDC) Transmission Technology and DC Grids a Comprehensive ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...