The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
SAN MATEO, Calif.--(BUSINESS WIRE)--BigHat Biosciences, a biotechnology company with an artificial intelligence/machine learning-guided antibody discovery and development platform announced a ...
For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Learn how industrial computed tomography (CT), digital twins and collaborative platforms are improving workflows across design, simulation, manufacturing and inspection in machine engineering from ...
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