An algorithm can identify individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) with about 88% ...

They processed sleep-wake pattern data and derived a total of 36 sleep and circadian rhythm features, which were used as inputs for the machine learning classification algorithm that aimed to predict ...

While GPUs were initially designed for rendering graphics, their architecture makes them exceptionally well-suited for the parallel processing requirements of many machine learning algorithms. In this ...

By applying a specialized machine learning method, called Heterogeneity through Discriminative Analysis, they were able to divide the autism participants into subtypes. The researchers identified ...

Lava Music has spent the last few years impressing music journalists and guitarists with a bunch of carbon fiber acoustic/smart guitars. Now the company has taken a bit of a left turn for its ...

Support Vector Machines have been a staple in machine learning for years, known for their effectiveness in classification tasks. In 2024, SVMs are frequently used in image recognition, bioinformatics, ...

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In a presentation earlier this year, the two companies showed that they are able to use an off-the-shelf reinforcement learning model ... you start running the algorithm on it.

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