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 ...

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

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

The rapid expansion of AI and machine learning into everyday life has made it critical for students to gain foundational ...

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised ... for a given downstream task. As an example, the team tested ContextSSL's ...

The European Commission published guidelines that clarify the definition of AI systems under the AI Act, analyzing each component of the definition ...

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 ...

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these ...