How generative AI and physics can help design new antibiotics

Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...

Instagram is testing more ways to customize ‘Your Algorithm’

Specifically, Mosseri was showing off new ways that users might access Your Algorithm, a feature that allows them to specify ...
IEEE Spectrum on MSN

AI is designing radio chips that humans couldn’t even imagine

Freed from intelligibility and aesthetics, AI designs faster ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
IEEE

An Adaptive Sampling Method Based on Expected Improvement Function and Residual Gradient in PINNs

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
IEEE

Simple and Accurate Computation of Rotor Eddy-Current Losses in Surface-Mounted Permanent Magnet Machines Accounting for Magnet Circumferential Segmentation

Abstract: Extensive literature has been produced on the investigation of eddy current losses in Surface-mounted Permanent Magnet (SPM) electric machines in presence of circumferential segmentation by ...