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Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...
Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...
A highly credentialled, former AI and machine learning specialist at Nvidia is set to join Codeifai’s strategic advisory ...
Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...
"I wouldn’t be surprised if, within a few years, talking to an AI assistant while shopping becomes as common as using a ...
Researchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...
AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...
Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...
BQP, a quantum-accelerated simulation software company, has raised $4.9 million in an oversubscribed seed funding round led ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...