This agreement is expected to support Manulife in automating underwriting quotes, handling complex processes, and providing ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Model ML Inc., a provider of artificial intelligence software for investment professionals, has raised $75 million in funding to support its growth efforts. The startup disclosed today that investment ...