Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
IEEE

Exploring the Impact of Parametric Variability on Eye Diagram of On-Chip Multi-walled Carbon Nanotube Interconnects using Fast Machine Learning Techniques

Abstract: In this paper, an artificial neural network (ANN) based metamodel is developed for estimating the eye diagram characteristics of on-chip multi-walled carbon nanotube (MWCNT) interconnect ...
EurekAlert!

New fully digital design paves the way for scalable probabilistic computing

You’ve heard of qubits, now get ready for p-bits! These units form the building blocks of probabilistic computers that can solve certain problems more efficiently than traditional computers. A team of ...

The Goldilocks Problem: Trade Secret Protection for AI

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...
IEEE

Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement with Minimal Data Input

Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...

Building an AI Driven Portfolio Management System: From Machine Learning Basics to Advanced Implementation

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Eurogamer

Steam Machine: Everything we know about Valve's new console

The Steam Machine is the new PC gaming-focused console revealed by Valve in November 2025. Alongside this reveal, we also got our first look at the new Steam Controller and new VR headset, titled the ...