Automated polymer design tool integrates machine learning and molecular simulations
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...
PhaseV and Alimentiv Partner on Machine Learning-Based Solution to Tackle Challenges in GI Clinical Trials
PhaseV, a pioneer in software and machine learning (ML) for clinical trial optimization, announced today it has entered a ...
Navigating the Frontiers of Machine Learning Engineering: The Journey of Ravi Mandliya
With a Master's in Computer Science from Clemson University and extensive experience at leading tech companies, he combines ...
Phys.org on MSN12d
Machine learning and 3D printing yield steel-strong, foam-light materials
The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from ...
Tech Xplore on MSN8d
Case study demonstrates practical applications for quantum machine learning
Quantum researchers from CSIRO, Australia's national science agency, have demonstrated the potential for quantum computing to ...
Optimizing Machine Learning Systems for Peak Performance
Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...
Gurobi Releases Annual State of Mathematical Optimization Report
Survey highlights industry trends and the increasingly critical role of optimization across industries.
EurekAlert!7d
Machine learning-powered, high-affinity modification strategies for aptamers
Announcing a new publication for Acta Materia Medica journal. The binding affinity of aptamers to targets has a crucial role in the pharmaceutical and biosensing effects. Despite diverse ...
Nature13d
Neural Architecture Search and Machine Learning Optimization
Neural Architecture Search (NAS) and machine learning optimization are rapidly evolving fields that focus on automating the design and improvement of neural networks. As deep learning models ...