Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
AZoRobotics

AI-Powered Blockchain Model Defends 6G Networks From Cyberattacks With 97 % Accuracy

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

Machine learning tech to extract rain info earns Cusat patent

KOCHI: The Cochin University of Science and Technology (Cusat) has been granted a patent for developing a novel machine ...
GEN

Beyond Folding: Machine Learning Designs Intrinsically Disordered Proteins

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 ...
CBSSports.com

Seahawks vs. Cardinals NFL player props: Self-learning AI backs Sam Darnold Over 217.5 passing yards on TNF

A pair of 2-1 divisional rivals will face off on Thursday Night Football as the Arizona Cardinals host the Seattle Seahawks. Both Kyler Murray and Sam Darnold figure to factor into NFL prop bets, as ...
Scientific Research Publishing

Rasmussen, C.E. and Williams, C.K.I. (2005) Gaussian Processes for Machine Learning. The MIT Press.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
GitHub

[Bug Report] Incorrect Parameter Validation for Gaussian Distribution in randomize_rigid_body_mass

When using a Gaussian distribution with the scale operation to randomize body mass, an error occurs if the first parameter in mass_distribution_params is larger than ...
C&EN

Evaluating Machine Learning Models for Molecular Property Prediction: Performance and Robustness on Out-of-Distribution Data

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...
Scientific Research Publishing

Zhang, K., Zuo, W., Chen, Y., Meng, D. and Zhang, L. (2016) Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Transactions on Image Processing ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
IEEE

An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel

Abstract: Quantum communication systems are essential for secure information transmission, but their performance is significantly impeded by complex hybrid quantum noise (HQN) in Gaussian quantum ...