Large language models struggle to solve research-level math questions. It takes a human to measure just how poorly they ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

At Web Summit Qatar, AI-powered biotech startups describe how automation, data, and gene editing are filling labor gaps in ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

YouTube TV's subtle update is quietly solving a huge problem for millions of subscribers.

Abstract: This paper focuses on the inverse optimal control problem for discrete-time systems with unknown cost functions using linear matrix inequalities (LMIs). Based on Pontryagin's minimum ...

A teenager who uses cannabis only occasionally might not see it as a big deal. Their parents might not either. But new national data suggests that even infrequent use is linked to significant problems ...

If you think that workers heavily reliant on generative AI may be less prepared to tackle questions that can't be succinctly answered by the machine, you may just be right. A recent paper from ...