As blockchains reach payment-scale speeds, reliability becomes the real test. Fuel Labs engineer Brandon Vrooman explains how ...

Build a low-power smart sensor system with a tailored board, MOSFET switching, and ESP32 deep sleep, giving up to 1.7 years usage between charges ...

How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

Abstract: In this work, we aim to solve multitasking optimization problems (MTOPs) without using knowledge transfer or other delicate strategies. We adopt a simple genetic framework (i.e., mating ...

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 ...

What if the toughest problems humanity faces—those that stump our brightest minds and stretch the limits of human ingenuity—could be tackled by a single, purpose-built system? Enter Gemini Deep Think, ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as “quantum advantage” and demonstrated by a USC researcher in a paper recently published in ...