Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Forbes

What Happens To AI Training Data After The Model Is Built?

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Ajit Sahu, Senior Engineering Leader – Health & Wellness Application Innovation, AI, digital ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Forbes

Nvidia Buys Kumo AI To Bring AI Predictions To Business Data

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Nvidia has acquired Kumo AI, a four-year-old startup that builds foundation models for ...
Nanowerk

A better way to model the behavior of metal alloys

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Novel generative AI model enables atomic-scale prediction of protein-protein interactions

Proteins are the molecular workhorses of the human body. They perform a vast range of essential functions, from building ...
Oncology Nurse Advisor

AI-Based Risk Model Helps Predict Complications Following Glossectomy

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.