Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

What is a 'seesaw protein' that switches functions by changing shape?

Inspired by the simple mechanism of a seesaw—when one side goes up, the other side goes down—researchers asked an intriguing ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Adaptive Machine Learning-Enabled Evolutionary Optimization for Reliability-Based Design of Through Silicon Via (TSV) Structures Under Uncertainty

Abstract: Through silicon via (TSV) technology has been widely employed as a promising 3-D packaging technology to achieve significant reduction in device dimensions. Due to the existence of ...
Phys.org

Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in ...
EurekAlert!

Simulations and experiments meet: Machine learning predicts the structures of gold nanoclusters

Atomistic snapshots describing how two thiolate-protected gold nanoclusters of 144 gold atoms each coalesce producing a single larger cluster matching a size that previously has been synthesized.