Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...
The tax agency accounts for nearly half of Treasury’s AI use cases, with a heavy focus on IT and some fraud-fighting tech, ...
Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the ...
To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...
Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...
Zinc doping enables visible-light programming of ferroelectric memristors for neuromorphic computing
Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
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