Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

Astronomers recently tested a machine-learning algorithm that used information from citizen-scientist volunteers to identify exoplanets in data from NASA's Transiting Exoplanet Survey Satellite ...

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 ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.