Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

AI-driven trading is reshaping markets with speed, pattern discovery, and new risks—bringing efficiency and unpredictability.

Background: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy, with leukemic cell diversity contributing to disease progression and treatment resistance. This study aimed to evaluate ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

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One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

Please provide your email address to receive an email when new articles are posted on . A machine learning algorithm was able to identify pain archetypes after TKA. Predictors for difficult to control ...