Today, attackers can manipulate some machine learning models by feeding them misleading data to evade detection. It is common for ML models to generate false positives or false negatives.

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

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

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer ...

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

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

The Federal Circuit recently issued a decision in Recentive Analytics, Inc. v. Fox Corp., invalidating the patent claims at issue as directed ...

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

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in re ...

On Friday, April 18, 2025, the Federal Circuit addressed a question of first impression regarding the validity of certain machine-learning ...

Machine learning allows researchers to learn from data and account for the complexity ... To do this, we take a bio-signal and artificially create gaps of a certain length, like one second.