AI
Mathematics
This is a game changer! (AlphaTensor by DeepMind explained)
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Frank
- October 19, 2022
- AI
- ai matrix multiplication
- alpha tensor
- alpha tensor explained
- alpha zero
- alphatensor explained
- AlphaZero
- alphazero math
- artificial intelligence
- Arxiv
- Deep Learning
- deep learning tutorial
- Deep Mind
- DeepMind
- deepmind alphatensor
- deepmind math
- explained
- google deep mind
- google deepmind
- introduction to deep learning
- Machine Learning
- matrix multiplication
- matrix multiplication reinforcement learning
- Neural Networks
- Paper
- what is deep learning
Matrix multiplication is the most used mathematical operation in all of science and engineering. Speeding this up has massive consequences. Thus, over the years, this operation has become more and more optimized. A fascinating discovery was made when it was shown that one actually needs less than N^3 multiplication operations to multiply to NxN matrices. […]
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Mathematics
The Applications of Matrices
-
Frank
- December 8, 2020
- applications of matrices
- applied math
- eigenvalue
- eigenvector
- Graph Theory
- how are matrices used in the real world
- image processing
- Linear Algebra
- major prep
- majorprep
- Mathematics
- matrices
- matrix applications
- matrix math
- matrix multiplication
- systems of equations
- understanding matrices
- what are the applications of matrices
- what is a matrix
Zach Star echoes my thoughts with this video on what he wishes his teachers told him about matrices. Given the relevance of linear algebra to quantum computing, this could not be more timely.
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