It’s not without challenges, of course. It requires more sensors to be architected into a design, a cohesive data strategy for how to utilize those sensors, as well as new machine learning algorithms ...

Inverse design is a routine that reverses the conventional design, from desired outputs to the prediction of input parameters. The data-driven inverse design has shown notable achievements in ...

But as sensor data grows more complex and voluminous, ... Continuous readings over time and space captured by sensor devices now require a new set of design patterns to unlock maximum value.

A new generation of CMOS image sensors can exploit all the image data to perceive a scene, understand the situation, and intervene by embedding artificial intelligence (AI) in the sensor. CEA-Leti ...

Pattern analysis constitutes a critical building block in the development of gas sensor array instruments capable of detecting, identifying, and measuring volatile compounds, a technology that has ...

Optimal sensor and actuator placement is an important unsolved problem in control theory. Nearly every downstream control decision is affected by these sensor and actuator locations, but determining ...

Hedman is the founder of the design consultancy mPath, where he's pioneering a new approach to design research. It combines stress-testing sensors with traditional observational techniques.

With the cost of sensors ranging from $15 to $1,000, carmakers are beginning to question how many sensors are needed for vehicles to be fully autonomous at least part of the time. Those sensors are ...