Topic: Computer Vision

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

The 2021 Conference on Computer Vision and Pattern Recognition features two papers co-authored by an LLNL researcher targeted at understanding robust machine learning models.

An LLNL-led team developed a new kind of prior—a characterization of the space of natural images—for compressive image recovery that is trained on patches of images instead of full-sized images.

Rushil Anirudh describes the machine learning field as undergoing a “gold rush.”