A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

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 ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

A study published in Physical Review Letters outlines a new approach for extracting information from binary systems by ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems ...

The US Court of Appeals for the Federal Circuit affirmed a district court’s ruling that patents applying established machine learning methods to new data are not patent eligible under 35 U.S.C. §101.

Long-term, widespread AI coding might hamper learning, problem-solving and—eventually—the ability to maintain software ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing ...

In one of the first cases from the Federal Circuit addressing patent eligibility for machine-learning (ML) inventions, the ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...