Topic: Natural Language Processing

Presented last fall at a conference, a new approach to software binary analysis incorporates large-scale training data and hierarchical embeddings.

The Generative Unconstrained Intelligent Drug Engineering (GUIDE) program accelerates development of medical countermeasure candidates to redefine biological defense.

In two papers from the 2024 International Conference on Machine Learning, Livermore researchers investigate how LLMs perform under measurable scrutiny.

A novel ML method discovers and predicts key data about networked devices.

Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.