Machine learning (ML), on the other hand, helps computers learn tasks and actions using training modeled on results from large datasets. It is a key component of artificial intelligence systems.

The goal of this research is to detect machine learning model uncertainty and mitigate its effects on the quality of model ...

While machine learning models (ML) can be very powerful, they are known to be brittle when presented with data outside their training distribution.

LONDON, Oct. 12, 2023 — TitanML has secured $2.8 million in pre-seed funding led by Octopus Ventures alongside deep tech-focused angel investors. The round is timed as the team publicly launches Titan ...

The open source Ray machine learning (ML) technology for deploying and scaling AI workloads is taking a big step forward today with the release of version 2.4. The new release takes specific aim ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.