Researchers developed a single photodiode sensor that detects full-color light using perovskite materials, impedance data, ...

University of Edinburgh scientists have harnessed the power of AI in a new tool that promises to speed up analysis of data ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...

Open Source, Automated free binding free energy calculation between protein and small molecule. An all-in-one workflow, free energy pertubation with OpenMM.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate. 🤬️ ...

The approach was further enhanced by utilizing machine learning (ML) classification techniques, including k-nearest neighbor, random forest, support vector classifier, and multilayer perceptron. The ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

For example, Stephen Witt’s The Thinking Machine, a lively biography of the CEO Jensen Huang, whose company Nvidia makes microchips that power AI systems like ChatGPT, recounts events only up to a mid ...