Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Algorithms aren’t acting maliciously. They’re doing what they were built to do. That’s why algorithmic bias in marketing is an ownership issue and a leadership concern.

This seminar is part of the Research Semester Programma 'Democratizing real-world problem tailored optimization '.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The unveiling by IBM of two new quantum supercomputers and Denmark's plans to develop "the world's most powerful commercial quantum computer" mark just two of the latest developments in quantum ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

Lafayette-based Quantum Research Sciences develops software for quantum computers so large they fill up a room, just like the ...

Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Tension: Marketing teams expect efficient ad performance to guarantee sustainable customer acquisition costs, yet CAC keeps rising ...