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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
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 ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...
Distinguished Flying Cross recipient RF-4C pilot and his weapon systems officer recollect flying some of the most important ...
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