Design as strategy—it’s effective at shaping systems and crafting end products.

Kartell and Philippe Starck are employing a specially designed AI program to create a new collection of furniture testing the ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Neel Somani has built a career at the intersection of mathematical optimization and large-scale infrastructure. A UC Berkeley alumnus who sharpened his skills as a Quantitative Researcher at Citadel, ...

A website isn’t just a sales tool. It tells customers who you are and why they should care about you. A great website places your products in a story that ...

Scale continuously determines where freight is needed to balance carrier networks and deploys intelligent autonomous ...

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 ...

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 ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...