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: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...

Driven by accelerating diagnosis of ATTR cardiomyopathy, sustained reliance on cost-effective chemotherapy, and rapid uptake ...

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 ...

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

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

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 ...

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

Understanding AI Presentation Tools What Makes AI Presentation Makers Different So, what’s the big deal with these ...

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

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 ...

While ray-inspired robots are becoming faster and smarter, significant engineering challenges remain for achieving true ...