The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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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 ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Distinguished Flying Cross recipient RF-4C pilot and his weapon systems officer recollect flying some of the most important ...
Automated machine learning can accurately identify two types of benign tumors that develop in the same space within the brain ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
A collaborative research team has developed the world's first AI-based optical diagnostic platform that enables rapid and ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
We talked with Nick Callegari ’25, Dianna Liu ’18, and Ariana Yuen ’19 about the unique challenges faced by founders trying to make a difference and the moments that make their work worthwhile.
Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas ...
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