Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

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

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...

When it comes to the role of AI in our lives, the conundrum we have to crack is if—and how consciously—we inhabit our own minds.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Babak Hodjat discusses AI innovation, ethical leadership, evolutionary AI, and human agency in an exclusive interview.

A free account provides you access to a limited number of free articles each month, plus newsletters, job postings, salary data, and exclusive store discounts.

In December 2019, industry leaders gathered their boldest predictions for retail’s next chapter. They anticipated retail ...

Abstract: Time-variant convex optimization involving nonlinear inequality constraints (TVCOINICs) is a challenging problem due to the nonlinearity and time-variant nature of its objective function and ...