Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...

AI slop isn't the only issue.

Google DeepMind’s AlphaProof system scored at a silver-medal level when tested against the 2024 International Mathematical ...

Abstract: Finding a policy for stochastic scheduling problems on parallel machines is a complicated task, as the problem is already NP-hard in the deterministic case. The problem becomes even more ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...