Closing the Gap in Neural Implicit Representations With ‘Spelunking the Deep’

A recipient of a SIGGRAPH 2022 Technical Papers Best Paper Award, “Spelunking the Deep” Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis” introduces a new technique to work with neural implicit shape representations.

Award-winning Student Research, Inspired by a Crow

Takahito Murakami and his research team created and studied a new 3D-printed prototype of tweezers called “Kuchibashi.” Their study showed the prototype interacts better with large spherical objects than hands or conventional tweezers do.

Piecing Together the Puzzle Behind the Tulsa Race Massacre

Graphics editors from The New York Times discuss the use of geo-spatial data analysis, 3D, and machine learning to recreate the neighborhood destroyed during the 1921 Tulsa Race Massacre.