An automated machine-learning method that analyzed sleep movements recorded ... individuals with iRBD demonstrated an increased amount of movements (56.3 vs. 41.8 per hour; average movement ...

Kernel methods are a powerful ... for prediction problems[3][4]. This underscores the critical role that kernel selection plays in the effectiveness of machine learning algorithms.

Scientists at the Indian Institute of Technology Delhi recently created a new machine learning (ML)-based tool for process verification during process chromatography unit operations.

As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into ...

Predicting future states is a critical mission in computer vision research – not least in robotics, where real-world ...

DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark ...

With the increasing reliance on ML to predict outcomes and optimize agricultural processes, the lack of diverse, high-quality ...

VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next-generation intelligent systems, has shared preliminary results on its variant ...

The International Day of Education is observed annually on January 24; this year the day is celebrated under the theme ...

Pest management has seen significant advancements in integrating modeling, remote sensing, and machine learning (ML).