Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
EurekAlert!

Schematic of the machine learning algorithm. (IMAGE)

The input (correlation configurations) is fed into a system of interconnected nodes known as a neural network, giving a series of outputs telling us which phase the configuration belongs to. During ...
EurekAlert!

Faster and more reliable crystal structure prediction of organic molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Forbes

IBM Federated Learning Research - Extracting Machine Learning Models From Multiple Data Pools

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.
ZDNet

Machine learning is going real-time: Here's why and how

After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, two groups of companies emerged. One group has invested hundreds of ...
CRN

The 10 Hottest Data Science And Machine Learning Tools Of 2025 (So Far)

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...