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 ...

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

As South Africa’s electricity market transformation creates new opportunities for smart energy management and cost ...

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

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 ...

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

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

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

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 ...

Learn about the TANCET MCA 2026 syllabus, including subject-wise topics, exam pattern, prep strategies, and more.