Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

SANTA CLARA, CA - February 12, 2026 - - Interview Kickstart has launched a new Data Science course designed for working professionals seeking to build practical, production-ready skills in data ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

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 ...

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 ...