Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

A new tool to model peripheral nerve stimulation rapidly discovered optimal electrical waveforms (white traces) which, when delivered through the metal contacts of a cuff electrode placed on the vagus ...

A recent study in Scientific Reports presented a graphene-based metamaterial as a solar absorber. The structure consisted of three layers: aluminum (Al) as the resonator, titanium nitride (TiN) as the ...

Gongguo Tang; Department of Electrical, Computer, and Energy Engineering; University of Colorado BoulderGeometry and algorithm for some nonconvex optimizationsGreat progress has been made in the past ...

Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of ...

SANTA CLARA, CA - February 05, 2026 - - Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and ...