Turning uncertainty into a design tool for AI-engineered molecules

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...
Machine Design

Linear Encoder Showdown: Wired vs. Wireless Read Heads

Linear guideways with built-in encoders are transforming precision motion systems by combining guidance and feedback in one ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
CU Boulder News & Events

CSCA 5622: Introduction to Machine Learning: Supervised Learning

Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. A previous version of Machine Learning: Theory ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data for connections between diseases

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...