How an army of digital sleuths are using AI to fix America’s crumbling sidewalks

I’m labeling and rating sidewalks from the comfort of my own couch in Los Angeles using Project Sidewalk, an online ...
PNAS

Cartesian equivariant representations for learning and understanding molecular orbitals

Contributed by Laura Gagliardi; received April 30, 2025; accepted October 17, 2025; reviewed by Clémence Corminboeuf, Seyed Mohamad Moosavi, and Veronique Van Speybroeck This contribution is part of ...
Scientific Research Publishing

Layer Cake: On Language Representation and Compute Characteristics in Text Classification ()

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.
GitHub

Machine Learning Techniques for Text

Learn how to acquire and process textual data and visualize the key findings Obtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffs Implement models ...
C&EN

Machine Learning-Driven Optimization of Continuous-Flow Photoredox Amine Synthesis

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...
Frontiers

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide ...
C&EN

Array-Based Machine Learning for Functional Group Detection in Electron Ionization Mass Spectrometry

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry is a ubiquitous technique capable of complex chemical analysis. The ...
Frontiers

Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models

Moldy peanut seeds are damaged by mold, which seriously affects the germination rate of peanut seeds. At the same time, the quality and variety purity of peanut seeds profoundly affect the final yield ...