Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

Last-minute problems might have delayed the arrival of Apple’s smarter, Google Gemini-boosted Siri, meaning it will appear ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Moreover this flagship model X11L SQD-Mini LED series use proprietary AI processors to fine-tune picture performance in real ...

Modeling-Driven Design of Materials and Electrodes for Beyond Lithium-Ion Batteries with Damla Eroglu, Department of Chem ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire ...

Has AI reduced labour costs in Australia? Why adoption isn’t enough — and how CIOs should pressure-test AI ROI in 2026.

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

Throughout the past decade, Northwestern University scientists have uncovered a striking principle of vaccine design: ...