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 ...

How AI is helping us monitor and support vulnerable ecosystems

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...
The Cornell Daily SunOpinion

BURZLAFF | The Basics (3): Learning with Machines — Four Principles for Using AI at Cornell

In this edition of The Basics, Prof. Jan Burzlaff offers advice on the principled and ethical use of artificial intelligence ...
Deep Learning with Yacine on MSN

How to Structure Machine Learning Projects for Production

Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide covers project organization, version control, data pipelines, model ...

From Bottleneck to Breakthrough: AI in Chip Verification

This is a sponsored article brought to you by Siemens. In the world of electronics, integrated circuits (IC) chips are the ...
IEEE

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes

Abstract: Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition ...
IEEE

Provable Active Multi-Task Representation Learning

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...
Education Week

Play-Based Learning in Kindergarten Is Making a Comeback. Here’s What It Means

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...
C&EN

Machine Learning-Based Excited-State Reactive Force Field: A New Approach for Modeling the Photodissociation Dynamics of 2-Fluorothiophenol

Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...
C&EN

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...