A research team has developed a machine learning-based design of experiments (DOE) method that efficiently optimizes the performance and process conditions of organic thermoelectric devices.

As the medical device industry transitions to a highly consumer-driven marketplace, incorporating user feedback into new product development has never been more critical.

Here are three key insights into how engineers can optimize CPUs, GPUs, mobile devices, laptops, and servers. Lesson One: Hardware-Software Co-Design and Collaboration Is Key to Maximizing Performance ...

Building secure and private environments for dedicated smart devices is crucial to their operation, functionality and protection, but who is responsible — hardware or software developers?

The framework developed by a team with Professor Wei Chen could enhance the design and functionality of programmable material systems, whose applications are diverse and impactful.

MemryX has made available its MX3 Edge AI Accelerator samples, which boast an innovative pure dataflow architecture equipped with programmable hardware that aligns seamlessly with the data-driven ...

A technical paper titled “Data-driven power modeling and monitoring via hardware performance counter tracking” was published ...