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 ...

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 ...

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 ...

Desmond Holly, 16, who is suspected of shooting and critically injuring two students, had been “radicalized by an extremist network,” the authorities said. By Adeel Hassan The authorities in Colorado ...

As employers and tech companies rush to deploy artificial intelligence software into workplaces to improve efficiency, labor unions are stepping up work with state lawmakers across the nation to ...

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 ...

Dynamic pricing algorithms offer competitive advantages but come with mounting regulatory risks. Adam Berry, Mike Horoho, Andrea Levine and Alex Tully of FTI Consulting outline how these technologies ...

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 ...