A team of researchers at the Ming Hsieh Department of Electrical and Computer Engineering has created a new breakthrough in ...

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...

The ability to dynamically control the nonlinear phase in optical systems is crucial. It improves flexibility, adaptability, and functionality across ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

Scientists have developed a lens-free mid-infrared camera using a modern twist on pinhole imaging. The system uses nonlinear crystals to convert infrared light into visible, allowing standard sensors ...

Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.

Over the past few years, engineers and material scientists have been trying to devise new optical systems in which light ...

Researchers from Shandong Normal University and the Australian National University have developed a new class of metasurfaces ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...