The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

DUBLIN--(BUSINESS WIRE)--The "Semiconductor Cybersecurity Market - A Global and Regional Analysis: Focus on Application, Deployment Type, Solution, Security Type, and Region - Analysis and Forecast, ...