Machine learning identifies catalyst 'sweet spot' for greener urea from waste gases

Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily ...
HealthDay on MSN

Machine learning predicts asthma risk in children with early-life atopic dermatitis

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...

DeepSeek unveils new AI model tailored for Huawei chips as China pushes for tech autonomy

By Eduardo Baptista, Ethan Wang and Che Pan BEIJING, April 24 (Reuters) - DeepSeek, the Chinese startup whose low-cost AI ...

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
Opinion
Tech Xplore on MSNOpinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Opinion
EurekAlert!Opinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks, computer scientist says

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Sai Prashanth Pathi- AI For Credit Risk: Architecting Explainable Machine Learning For A Regulated Era

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
Unite.AI

Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
DATAQUEST

Data Scientist vs Machine Learning Engineer: Which career is better for you?

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...