Artificial intelligence is advancing rapidly, changing how people work, communicate, and solve problems across almost ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

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

Clear problem definition is the foundation of effective enterprise SEO, aligning teams around facts instead of assumptions.

Remember seeing your triglyceride levels in your lab report? Ah! Fats you may dismiss, thinking of the next gym work you need to head to. Fatty acids are broken down via a process called β-oxidation.

When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...