Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

If you are a university student preparing for a career in finance or data analytics, the skills you are learning in your business computing and Excel courses are undergoing a radical transformation.

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Modern robotics has reached a point where movement is no longer the main challenge – machines can already navigate, grasp, and operate in space with impressive precision. Yet enabling them to truly ...

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.

Canva AI 2.0 is the latest update from the user-friendly platform and comes with new and faster AI models as well as a ...

AI developers are getting more creative in how they acquire data to train AI models. For instance, they’re paying startups to develop copies of popular apps, like Salesforce or Excel, to teach models ...

Abstract: Visual reinforcement learning (VRL) aims to learn optimal policies directly from pixel data, which holds significant potential for applications in control systems characterized by data ...

Abstract: To address the absence of reference paradigms, limited generalization, and low learning efficiency in unmanned aerial vehicle (UAV) autonomous docking with transmission line splice sleeves ...

Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...