Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.
The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant drug.
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