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 ...

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 ...
Microsoft

The agentic SOC—Rethinking SecOps for the next decade

In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on ...
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) ...
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 ...
eLife

Memory Encoding and Retrieval: Rethinking how memories are retrieved

Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.