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 Ying Nian Wu and his colleagues designed two new approaches to better optimize drug design