Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...
In the wake of thousands of cuts to the IRS’s staff, Treasury Secretary Scott Bessent told lawmakers last spring that an “AI ...
SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
Live Science on MSN
Astronomers uncover hundreds of new 'anomalies' in Hubble telescope archives
AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some ...
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.
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