In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

Hexagon Robotics is pleased to announce a strategic partnership with Microsoft aimed at advancing humanoid robots with a focus on: Redefini ...

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with ...

Goldman Sachs & Co. LLC serves as financial advisor and Erdinast Ben Nathan Toledano and Davis Polk and Wardwell LLP serve as ...

Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...

LMArena, astartup that operates a widely cited ranking of AI models based on their performance, has raised $150 million at a ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Nvidia announced DLSS 4.5 at CES today, an update to its deep learning super sampling (DLSS) feature that improves image ...

Explore the IIT Hyderabad AI course in detail. Learn about curriculum, eligibility, fees, admission process, and career ...

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...