EDN

Application of machine learning in power management systems

Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...
Nanowerk

Machine learning innovations and applications in nanotechnology

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...
Analytics Insight

10 Machine Learning Projects for Beginners to Advanced (2026)

Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...
Nature

Machine Learning Applications in Particle Accelerator Physics

Innovative machine learning techniques are rapidly transforming particle accelerator physics by integrating advanced data analytics with established accelerator models. This integration has led to ...
Que.com on MSN

The machine learning revolution: Key trends shaping 2026 and beyond

The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond ...
Digital Journal

Jeevan Sreerama: The data scientist leading the future of AI and machine learning

Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...
EurekAlert!

Research spotlight: Machine learning helps identify patients at varying levels of risk for opioid use disorder

Ronen Rozenblum, PhD, MPH, director of the Unit for Innovative Healthcare Practice & Technology and director of Business Development of the Center for Patient Safety Research and Practice at Brigham ...
Business Wire

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning Application Development

CAMBRIDGE, Mass.--(BUSINESS WIRE)--InterSystems, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, today ...
The Manila Times

New Report "How To Transition from Software Engineer to ML Engineer” - Interview Kickstart Publishes Roadmap for Tech Professionals Looking To Move Into Machine Learning Roles

Artificial intelligence is rapidly reshaping the global software industry, with machine learning capabilities becoming a foundational requirement for modern applications. From intelligent ...
Booth School of Business

Applied Machine Learning Pre-doctoral Research Professional Application

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...
InfoWorld

Make the most of GPUs for machine learning applications

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...