Sorting through the data avalanche
Multi-institute group including a UCLA mathematics professor held its inaugural meeting about using AI to make sense of an overabundance of scientific data.
Multi-institute group including a UCLA mathematics professor held its inaugural meeting about using AI to make sense of an overabundance of scientific data.
A new statistical technique enables researchers to safely use AI for accurate scientific estimates involving highly interconnected systems.
Professor Wilfrid Gangbo finds inspiration in uplifting his fellow Black mathematicians, past and present.
Professor Marcus Roper and recent grad Yujia Qi used zebra fish embryo for their work. Previous models had treated blood as a homogeneous fluid, and could not make any network that contained loops, even one as simple as the zebrafish’s.