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.

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

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

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

Understand how big data and machine learning can complement traditional data and analytical ... as well as geospatial and data science packages to analyze satellite data and generate high-frequency ...

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

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

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 ...

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

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

The researchers didn't set out to create a periodic table of machine learning ... They also used I-Con to show how a data ...