A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...

Using the supercomputer, scientists at Lilly will be able to train AI ‌models on millions of experiments to test potential ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

With the recent advances in cell reprogramming, scientists can take a mature human cell — such as a skin cell — and revert it ...

Elloe AI promises a system capable of fact-checking AI outputs, make sure they don’t violate laws and regulations, and that ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

The study proposes a decentralised smart EV-grid integration framework that distributes control intelligence across local ...