On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

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Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers ...

Abstract: Sorting solutions play a key role in using evolutionary algorithms (EAs) to solve many-objective optimization problems (MaOPs). Generally, different solution-sorting methods possess ...

Abstract: Cloud manufacturing (CMfg) is an emerging paradigm that aims to provide on-demand manufacturing services over the Internet. Service composition as an important means for generating ...

In the span of a few years, custom algorithms have gone from nonexistent to a necessity for many media buyers. Custom algorithm company 59A, for instance, has clients who have used its algorithms for ...

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 ...

In the field of evolutionary computation, it is common to compare different algorithms using a large test set, especially when the test involves function optimization [GW93]. However, the ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to add, starting with ...

This repository contains an implementation of a Deep Reinforcement Learning (DRL) algorithm for managing the energy demand and supply of a microgrid. The implementation is built using Python and is ...