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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning ...
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 ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
A recent review concluded that artificial intelligence (AI) is revolutionising cardiology by transforming clinical practice.
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