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 ...
From the perspective of US-China competition, the significance is not simply that Washington wants more AI. It is that the ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Interest in our technology continues to grow and we believe it is evident that annealing quantum computing is the critical ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
An estimated 60% of patients with Alzheimer's disease develop epilepsy or subclinical epileptiform activity over the course of the disease. New-onset seizures in cognitively healthy adults also ...
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