Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

We had our first taste of the problem with mean-variance optimization at a hedge fund some years back. We loaded the positions into an optimizer, pressed the button, and discovered 25% of the ...

Power consumption is a major source of pain for emerging complex SOC designs, particularly in battery sensitive applications requiring ultra low power. Not surprisingly, this area was the topic with ...

Optimizations in programming have mostly been associated with more efficient data structures or algorithms. Any optimization that uses hardware resources explicitly is generally considered premature, ...

Quantum computers have already managed to surpass ordinary computers in solving certain tasks - unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers ...

DETROIT--(BUSINESS WIRE)--Heartland has revolutionized plot mapping technology to drive efficiency for farming operations across the world. Its ReMap technology will reduce the time, money, energy, ...