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Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Machine-learning model can reliably predict cognitive performance based on lifestyle indicators
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...
Jwalin Thaker Is leveraging AI And machine learning To Enhance Insurance Pricing Through Catastrophe Models.
Jwalin Thaker is a Senior Data Scientist improving insurance pricing through AI-driven catastrophe modeling. With expertise ...
Science Daily29d
Machine learning model helps identify patients at risk of postpartum depression
Early identification of patients at risk of PPD could improve proactive mental health support. Researchers developed a machine learning model that can evaluate patients' PPD risk using readily ...
Medical Xpress29d
Machine learning model predicts postpartum depression risk using health record data
Early identification of patients at risk of PPD could improve proactive mental health support. Mass General Brigham researchers developed a machine learning model that can evaluate patients' PPD ...
How to Make AI Faster and Smarter—With a Little Help From Physics
Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...
How AI is transforming manufacturing industries
X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.
Control Global6d
Digital twin simulation is driving next-gen manufacturing
Ansys and Honeywell are harnessing the power of digital twins to transform manufacturing and EV battery optimization, using ...
Healio26d
Machine learning model may be reliable to assess postpartum depression risk
9.2% in the general population. A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater mental health screening in those who have ...