The convergence of advanced sensors and AI models enables smart factories to process data at the Edge, optimising real-time ...

Whether it be smartphones, wearables, virtual reality headsets, or even robotic vacuum cleaners, today’s users expect and demand such devices to consistently behave as commanded, to smoothly and ...

As the race toward truly autonomous vehicles continues, and timelines for their arrival keep changing as new obstacles are discovered, one key debate in the industry revolves around which technologies ...

A key strategy for fully autonomous vehicles is the ability to fuse together inputs from multiple sensors, which is essential for making safe and secure decisions, but it’s turning out to be much ...

There are real costs associated with fusing data from multiple sources. Costs can include legal fees to review data use agreements or negotiate data use terms, the cost to maintain and recalibrate ...

Sensor networks are highly distributed networks of small, lightweight wireless nodes, deployed in large numbers to monitor the environment or system by the measurement of physical parameters such as ...

As today’s internal-combustion engines are replaced by electric/electronic vehicles, mechanical-system sensors will be supplanted by numerous electronic sensors both for efficient operation and for ...

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...