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

A predictive analysis application, for example, can become more accurate over time through the use of machine learning. But machine learning has its challenges. Developing machine-learning models ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

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

from high-level complex behaviour (such as modelling the navigation systems of insects and mammals and applications to robotics) to modelling low level synaptic dynamics. Deep learning, for instance, ...

Recent developments in Machine Learning (ML) and Artificial Intelligence ... and reinforcement learning. Examples will be drawn form the entire spectrum of energy applications to illustrate the ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

Tecton develops a fully managed machine learning feature platform that the company says can speed the deployment of machine learning applications ... and is the latest example of Snowflake ...