UT Austin becomes NSF’s top-funded campus, driven by computing and AI

The University of Texas at Austin was the top recipient of National Science Foundation grants in fiscal year 2024 – a sign of ...
University at Buffalo

UB CMI awards more than $450,000 for 10 faculty-industry manufacturing R&D projects

BUFFALO, N.Y. – The University at Buffalo Center of Excellence in Materials Informatics ( CMI) has awarded 10 manufacturing ...
Chippewa Herald

UW-Stout, UW-Eau Claire, UW-River Falls students excel in Royal Credit Union internship

Computer science students from three Universities of Wisconsin campuses leveraged their knowledge of machine learning to address real-world questions for one of the state’s largest credit unions in a ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
AZoM

How is Artificial Intelligence Changing Materials R&D?

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Leveraging Machine Learning for Enhanced Bug Triaging in Open-Source Software Projects

Abstract: Bug triaging–the process of classifying and assigning software issues to appropriate developers–is a critical yet challenging task in large-scale software development. Manual triaging is ...
GitHub

Higher Education Students Performance Evaluation

This is my capstone project for the Machine Learning Operations Zoomcamp, which is a free, online course offered by DataTalks.Club. Photo by Drahomír Hugo Posteby-Mach on Unsplash. The purpose of this ...
Frontiers

Machine learning and SHAP value interpretation for predicting cardiovascular disease risk in patients with diabetes using dietary antioxidants

Objective: This study aims to develop and validate a machine learning model that integrates dietary antioxidants to predict cardiovascular disease (CVD) risk in diabetic patients. By analyzing the ...
CERN Courier

Machine learning in industry

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...