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 ...

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...

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 ...

The looming challenges of quantum computing have prompted the Java Platform to implement two advanced cryptographic solutions in its upcoming release, Java 24, slated for March 2025. Quantum computers ...

You might have heard that algorithms are in control of everything you hear, read, and see. They control the next song on your Spotify playlist, or what YouTube suggests you watch after you finish a ...