Abstract: Reinforcement Learning (RL) algorithms are widely considered to be the enabling technology for deep learning and allow for agents in complex systems to learn in a dynamic environment. In ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

1 Department of Critical Care Medicine, Xuzhou Central Hospital, Xuzhou, Jiangsu, China 2 Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...

Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms are ...

Last summer, mining startup KoBold made a splash when it said it had discovered in Zambia one of the world’s largest copper deposits in more than a decade. Now, another startup, Earth AI, exclusively ...

The biggest single line item on the website of Elon Musk’s cost-cutting team included a big error. By Aatish Bhatia Josh Katz Margot Sanger-Katz and Ethan Singer ...