Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...

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

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 ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Algorithms aren’t acting maliciously. They’re doing what they were built to do. That’s why algorithmic bias in marketing is ...

Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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 ...

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 ...

AI-powered partnership connects customer demand with real-time shop capacity to drive higher service revenue and ...

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 ...

We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...