AI is reengineering drug discovery by speeding up testing and scanning petabytes of data

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data for connections between diseases

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Medical Xpress

Boosting Machine Learning Algorithms

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...
Frontiers

Accurate intelligent modeling of mud loss while drilling wells via soft computing methods

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Medical Xpress

Boosting Machine Learning Algorithms

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.
GEN

Machine-Learning-Assisted mAb Yield Improvement

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
ahajournals.org

Abstract 4371610: Boosting Prediction: Machine Learning Models Outperform Traditional Risk Scores for Primary Cardiovascular Prevention

Background: Standard CVD risk calculators assume linear relationships among risk factors. ML methods (gradient boosting, random forests, neural networks, support vector machines) capture nonlinear ...
IEEE

Toward Metasurface-Assisted Sample Synthesis for Wi-Fi Human Sensing

Abstract: Wi-Fi human sensing has attracted numerous research studies over the past decade. The rapid advancement of machine learning technology further boosts the development of Wi-Fi human sensing.