The lowest level of auditing in Scientology consists of what are called the "objective processes." These are often programmed for a newcomer to Scientology after he has completed the introductory ...
Nested data parallelism: this feature offers the benefits of data parallelism, concise code that is easy to understand and debug, while being well suited for irregular algorithms, such as algorithms ...
They were indeed a queer-looking party that assembled on the bank--the birds with draggled feathers, the animals with their fur clinging close to them, and all dripping wet, cross, and uncomfortable.
The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...
WeAudit helps users test AI tools to discover issues like biases that developers might have missed. For example, if a user prompts a generative AI tool to produce images of a nurse and a doctor, and ...
SCS faculty members Andrea Bajcsy, Fernando De La Torre and Maarten Sap have received Amazon Research Awards to advance reliability, safety and performance in emerging AI systems.
My research goals are to advance the science of how people interact and learn with adaptive, AI-based learning technologies, and to advance the design and engineering of these technologies.
Research awards: Her research has earned her an Alfred Sloan Fellowship, the 2009 Carnegie Science Center's Emerging Female Scientist Award, an NSF CAREER Award, a Best Paper Award, the 2001 UCSB ...
It responds to a specific set of instructions in a well-defined manner. It can execute a prerecorded list of instructions (a program). It can quickly store and retrieve large amounts of data.
`Here!' cried Alice, quite forgetting in the flurry of the moment how large she had grown in the last few minutes, and she jumped up in such a hurry that she tipped over the jury-box with the edge of ...
I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...