MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

The Mars Organic Molecule Analyzer, aboard the ExoMars mission's Rosalind Franklin rover, will employ a machine learning algorithm to speed up specimen analysis. When the ESA (European Space ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.