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 ...

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 ...

What this AI epitope library means for vaccines, immunotherapy and biosensors

A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...
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 ...
Electronic Design

What’s the Difference Between Agentic AI, MCPs, and LLMs?

Agentic artificial intelligence (AI) is the latest craze built on the large language models (LLMs) that power chatbots like ...