The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Inspired by the natural curiosity he saw in animals, MLD Assistant Professor Aran Nayebi and his CMU colleagues created a ...

A commonly observed failure mode of Neural Radiance Field (NeRF) is fitting incorrect geometries when given an insufficient number of input views. One potential reason is that standard volumetric ...

Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or ...

Developable surfaces are those that can be made by smoothly bending flat pieces without stretching or shearing. We introduce a definition of developability for triangle meshes which exactly captures ...

Take our own bodies. I believe they are composed of myriads and myriads of infinitesimally small individuals, each in itself a unit of life, and that these units work in squads or swarms, as I prefer ...

In the field of evolutionary computation, it is common to compare different algorithms using a large test set, especially when the test involves function optimization [GW93]. However, the ...

My name is Yige Hong, I'm a sixth-year Ph.D. student at Computer Science Department of Carnegie Mellon University. I'm very fortunate to be advised by Professor Weina Wang . I work on the performance ...

Randy Pausch is a Professor of Computer Science, Human-Computer Interaction, and Design at Carnegie Mellon, where he was the co-founder of Carnegie Mellon's Entertainment Technology Center (ETC). He ...

The NEAT method of evolving artificial neural networks combines the usual search for appropriate network weights with complexification of the network structure. This approach is highly effective, as ...

A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing ...

Simulated Annealing (SA) is an effective and general form of optimization. It is useful in finding global optima in the presence of large numbers of local optima. “Annealing” refers to an analogy with ...