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AZoQuantum on MSN18h
Quantum Machine Learning in Forensic and Medical Imaging
In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...
C&EN5d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
IEEE10d
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] - IEEE Xplore
In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...
GitHub17d
atomistic-machine-learning/schnetpack: SchNetPack - Deep Neural Networks for Atomistic Systems - GitHub
SchNet - a deep learning architecture for molecules and materials. The Journal of Chemical Physics 148(24), 241722 (2018) 10.1063/1.5019779 [4] K. T. Schütt, O. T. Unke, M. Gastegger Equivariant ...
IEEE23d
Energy-Efficient Machine Learning on the Edges - IEEE Xplore
Machine learning-based software is vital for future Internet of Things (IoT) applications and Connected and Autonomous Vehicles (CAVs) as it provides the core value of these services by leveraging the ...
GitHub27d
State-of-the-art Machine Learning for the Web - GitHub
State-of-the-art Machine Learning for the Web Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's ...
Pensions&Investments29d
Machine-learning quant firm Voleon posts double-digit gains. Pension funds are taking notice.
An early adopter of machine learning, Voleon founders' pitch is that they identify alpha where other quant funds may not, using 220-plus technical staff and 70 Ph.D.s at the firm, ...