Description:
Explore the intersection of physics and high-dimensional computation in this AMS Josiah Willard Gibbs Lecture delivered by Lenka Zdeborová from École Polytechnique Fédérale de Lausanne. Delve into topics such as phase transitions, message passing, sparse PCA, compressed sensing, and deep learning. Gain insights into the problems solvable by computers, the structure of data, and the challenges of polynomial algorithms in high dimensions. Engage with proofs, interaction graphs, and neural networks while understanding their implications for computational complexity. Conclude with a Q&A session and access to relevant references for further study.
What Physics Teaches Us About Computation in High Dimensions
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#Conference Talks
#Joint Mathematics Meetings
#Science
#Physics
#Computer Science
#Deep Learning
#Artificial Intelligence
#Neural Networks
#Phase Transitions
#Engineering
#Electrical Engineering
#Signal Processing
#Compressed Sensing