The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

The Brain Continues to Learn Even After You 'Zone Out,' Reveals New Data For years, daydreaming and “zoning out” were considered unproductive acts, but that was the belief until scientists decided to ...

"It's a door to studying these unsupervised learning algorithms in the brain, and if that's the main way by which the brain learns, as opposed to a more instructed, goal-directed way, then we need ...

A mom is 'upset' after finding out that her daughter was allowed to go to the park with friends unsupervised while on a playdate. She detailed her situation on Mumsnet, and commenters had mixed ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

What Is Unsupervised Learning? Unsupervised learning is a type of machine learning that uses algorithms to analyze and draw inferences from unlabeled data. The model is not given explicit instructions ...

Colleges offer students learning opportunities through new and innovative virtual reality simulations. As virtual reality technology continues to develop, more colleges and universities are ...

As part of Advancing Drug Discovery: A Webinar Series of the National Academies of Sciences, Engineering and Medicine, a session on Quantum Computing-Enhanced Machine Learning Algorithm Unveils Novel ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...

Scikit-learn library and Statistics and Machine Learning Toolbox within MathWorks were then used to perform unsupervised clustering and supervised regression learning. The impact of dataset ...