The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...

The idea of building a machine from isolated parts, each with its own setup and software, no longer fits how modern automation works.

Scientists have observed a new microscopic mechanism enabling precise control of the magneto-optical properties of excitons in alloys of two-dimensional semiconductors. This discovery opens up ...

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

For nearly two decades, two-dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising smaller, faster and more energy-efficient ...

Microfluidics is a rapidly evolving field that plays a crucial role in lab-on-a-chip technologies, chemical analysis, and biological diagnostics. One of the ...

The Have Remy Test Management Project saw USAF Test Pilot School students directly involved in an AI agent’s development, simulation and live trial with ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...