https://elevanth.org/blog/2017/11/28/build-a-better-markov-chain/ Markov Chains: Why Walk When You Can Flow?Richard McElreath28 November 2017 “If you are still using a Gibbs sampler, you are working too hard for too little result. Newer,
What I Read: Functional, Object Oriented Programming
Functional Programming IS NO BETTER Object Oriented ProgrammingContinuous Delivery “Which of these software paradigms will offer you the best chance of success in which instances?”
What I Read: Optimizing Machine Learning Training Pipelines
https://medium.com/ntropy-network/bag-of-tricks-for-optimizing-machine-learning-training-pipelines-4f8d5cd3d432 Bag of tricks for optimizing machine learning training pipelinesArseny KravchenkoJan 5 “…we are constantly looking for ways to improve the efficiency of our machine learning pipelines, while keeping the
What I Read: Matrix Multiplication
https://www.quantamagazine.org/ai-reveals-new-possibilities-in-matrix-multiplication-20221123/ AI Reveals New Possibilities in Matrix MultiplicationBen BrubakerNovember 23, 2022 “Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math
What I Read: New Chip, AI
https://www.quantamagazine.org/a-brain-inspired-chip-can-run-ai-with-far-less-energy-20221110/ New Chip Expands the Possibilities for AIAllison WhittenContributing WriterNovember 10, 2022 “An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices,
What I Read: Machine Learning, Building Blocks of Computing
https://www.quantamagazine.org/machine-learning-reimagines-the-building-blocks-of-computing-20220315/ Machine Learning Reimagines the Building Blocks of ComputingNick ThiemeContributing WriterMarch 15, 2022 “Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses