After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions-but there is always room for improvement.

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health ...

AI technologies are crucial for space exploration, enabling autonomous navigation, predictive maintenance, and advanced data ...

A team of San Antonio-based biomedical researchers trained a machine learning algorithm to identify more than two dozen ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 million genome editing enzymes. The work could help reduce off ...

This work introduces a simple yet novel machine learning-based estimator to overcome this challenge ... In the ideal scenario without SDSN, the proposed algorithm remains slightly more efficient and ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Explore how machine learning helps manufacturers cut energy use, reduce downtime, and improve quality—with real examples and ...

Apache Mahout is an open-source machine learning library developed by the Apache Software Foundation. It provides a wide variety of machine learning algorithms designed to be scalable and capable of ...