Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...
By leveraging AI/ML-driven modeling, Keysight enables semiconductor companies to accelerate innovation, reduce development ...
As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
A $1 million federal grant at the University of Iowa go towards increasing proficiency of UI engineering undergraduate and graduate students in the growing field of modeling and simulation and machine ...
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...
Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...