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

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.

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

Researchers have been studying ways to leverage AI and machine learning algorithms in order to make sense of animal sounds ...

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...

In today’s fast-paced digital world, the need for skilled data scientists who can harness the power of Artificial Intelligence (AI) and Machine Learning (ML) is skyrocketing. Data Science combined ...

MarketersMEDIA pulls together years of real press releases into a single, action-ready hub-featuring 24 examples and instant-access guides built for real business use. MarketersMEDIA pulls together ...

By training on confirmed examples of fraudulent and legitimate ... Financial institutions are applying machine learning (ML) models to improve their risk assessment and response. Supervised learning ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.