Model uses machine learning to predict cycle lives of high-energy-density lithium-metal batteries. ... NIMS and SoftBank established the NIMS-SoftBank Advanced Technologies Development Center.

No doubt the field of machine learning model development continues to expand. Cognilytica expects the market for machine learning platforms to reach over $120 Billion USD by 2025, ...

Explaining the life cycle with technical terms about model development, training, deployment, and monitoring will make a business executive’s eyes glaze over.

The main advantages of cloud-based machine learning model development include: Easy to scale up: companies can easily test their solution through cloud-based machine learning, ...

Scientists have developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The model ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

The HPE Machine Learning Development System combines the HPE Machine Learning Development Environment with computing, accelerators and onboard networking to accelerate model development ...