In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

ORNL and partners are using HPC to study quantum materials outside equilibrium, aiming to inform future quantum computing ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Co-founder of the first AI platform to partner with a Hollywood studio on video generation talks about its work on ‘world models’ and their impact on the entertainment industry ...

This issue highlights computational methods for use in multi-omics microsampling to profile lifestyle-associated changes, for the design of humanized versions of antibodies with improved stability, ...

Discover the untold story of how Toyota revolutionized manufacturing and left a lasting impact on the automotive industry and ...

High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

Frequency Electronics’ Q1 lagged due to delays, but a strong backlog and solid defense contracts highlight long-term growth.

A new study published in Translational Psychiatry suggests that testosterone may play a more complicated role in mental ...

Benz AG, AkzoNobel, and other industry leaders recognized for creating a lighter, more sustainable automotive future ...