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 ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

OpenAI has pulled a much-discussed video promoting the friendship between CEO Sam Altman and legendary Apple designer Jony Ive (plus, incidentally, OpenAI’s $6.5 billion deal to acquire Ive and Altman ...

Some 70% of Suffolk County homes and businesses still rely on cesspools — but officials are planning to shell out millions to plug those properties into the municipal sewer system. County Executive Ed ...

When the pandemic upended the world of higher education, Robin Pugh, a professor at City College of San Francisco, began to see one puzzling problem in her online courses: Not everyone was a real ...

If you're old enough, you probably remember getting a line from your math teacher that you need to learn the steps to an equation because "you won't always be carrying a calculator with you." In an AP ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...