Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Python libraries used in top AI and ML tools hacked

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
IEEE

News Text Classification for Wolaita Language Using Transformer-based Model and Deep Learning Approach

Abstract: NLP, an AI field, that allows communication between computers and humans. NLP news text classification uses machine learning to categorize news into predefined groups. The vast volume of ...
TMCnet

Model ML raises $75M In One of The Largest FinTech Series A Rounds In History to Transform Financial Services with AI Workflow Automation

NEW YORK, Nov. 24, 2025 /CNW/ -- Model ML, the leading global AI workflow automation platform for financial services, today announced a $75 million Series A financing led by FT Partners, the global ...
VentureBeat

Large reasoning models almost certainly can think

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
InfoQ

InfoQ AI, ML and Data Engineering Trends Report - 2025

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Supply Chain

AI/ML Capabilities Bring Better Signals, Models, and Collaboration to Demand Forecasting

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...
C&EN

Model Experiments in Chemistry Education: A Classification Framework

Crude oil is heated to the boiling point in a test tube, and the individual fractions are collected separately. (2) This is a model experiment for how a crude-oil refinery works. Paraffin is heated in ...