Abstract: This article focuses on the design of inverse optimal control (IOC) based on inverse reinforcement learning (IRL) for distributed parameter systems (DPSs) with unknown dynamic parameters.

Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, ...

Will Saulsbery, an industry-leading A.I. marketer and strategist, and Mark Minevich, a globally recognized chief A.I. officer ...

The pharmaceutical industry operates under an uncompromising mandate: zero defects. Every tablet, capsule, vial, or syringe must meet exacting standards for dosage, purity, and sterility. This ...

The principle of centrifugal separation is ancient, but its modern industrial application is a feat of precision engineering.

Nebius Group N.V. aims to differentiate through benchmark-validated, regionally deployed AI infrastructure. Click here to ...

Los Angeles, California - January 27, 2026 - PRESSADVANTAGE - Rocket CRM has announced continued development of its ...

XIAN HIGH-TECH AREA, SHAANXI, CHINA, January 19, 2026 /EINPresswire.com/ -- With increasing demands for product ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Around the world, governments and industries are moving quickly to secure leadership in Artificial Intelligence (AI). For ...

Researchers from China recently announced the creation of the largest quantum network in history to directly investigate the ...