Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

Abstract: Traditional trajectory planning algorithms for multi-UAVs face challenges such as difficulty in establishing cooperative mechanisms and poor adaptability to dynamic obstacle environments. To ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.

Abstract: The collision avoidance in real-time is crucial for unmanned surface vehicles (USVs) in a complex environment. Traditional methods make it hard to ensure the balance of control decisions. To ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

Scholar argues that anti-discrimination law alone cannot address bias hidden in algorithms. Algorithms also analyze and combine numerous data points in a way that can be difficult to untangle, making ...