memory – Page 2 – Andrew Fairless, Ph.D.

What I Read: SQLite

By Andrew Fairless on November 22, 2022September 27, 2022

SQLite: Past, Present, and Future SQLite: Past, Present, and FutureSaturday, September 24, 2022 “Being designed as an OLTP database, SQLite employs row-oriented execution… However, there is a growing need forContinue readingWhat I Read: SQLite

What I Read: Pandas Anti-Patterns

By Andrew Fairless on August 17, 2022July 18, 2022

https://www.aidancooper.co.uk/pandas-anti-patterns/ 4 Pandas Anti-Patterns to Avoid and How to Fix ThemAidan Cooper “This post highlights four common pandas anti-patterns and outlines a complementary set of techniques that you should useContinue readingWhat I Read: Pandas Anti-Patterns

What I Read: How to Train Really Large Models

By Andrew Fairless on October 26, 2021October 16, 2021

https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html How to Train Really Large Models on Many GPUs?Sep 24, 2021Lilian Weng “How to train large and deep neural networks is challenging, as it demands a large amount ofContinue readingWhat I Read: How to Train Really Large Models

What I Read: How Animals Map 3D Spaces

By Andrew Fairless on October 19, 2021October 16, 2021

https://www.quantamagazine.org/how-animals-map-3d-spaces-surprises-brain-researchers-20211014/ How Animals Map 3D Spaces Surprises Brain ResearchersJordana CepelewiczOctober 14, 2021 When animals move through 3D spaces, the neat system of grid cell activity they use for navigating onContinue readingWhat I Read: How Animals Map 3D Spaces

What I Read: To Learn, Brain Cells Break DNA

By Andrew Fairless on September 18, 2021September 4, 2021

https://www.quantamagazine.org/brain-cells-break-their-dna-to-learn-more-quickly-20210830/ To Learn More Quickly, Brain Cells Break Their DNAJordana CepelewiczStaff WriterAugust 30, 2021 “New work shows that neurons and other brain cells use DNA double-strand breaks, often associated withContinue readingWhat I Read: To Learn, Brain Cells Break DNA

What I Read: Deep Learning Recommendation Models

By Andrew Fairless on April 24, 2021April 10, 2021

https://www.kdnuggets.com/2021/04/deep-learning-recommendation-models-dlrm-deep-dive.html Deep Learning Recommendation Models (DLRM): A Deep DiveBy Nishant Kumar, Data Science Professional. “This deep dive article presents the architecture and deployment issues experienced with the deep learning recommendationContinue readingWhat I Read: Deep Learning Recommendation Models

What I Read: Brain ‘Rotates’ Memories to Save Them From New Sensations

By Andrew Fairless on April 18, 2021April 17, 2021

https://www.quantamagazine.org/the-brain-rotates-memories-to-save-them-from-new-sensations-20210415/ The Brain ‘Rotates’ Memories to Save Them From New SensationsJordana CepelewiczStaff WriterApril 15, 2021 “Some populations of neurons simultaneously process sensations and memories. New work shows how the brainContinue readingWhat I Read: Brain ‘Rotates’ Memories to Save Them From New Sensations

What I Watch: Why Distributed Systems Are Hard

By Andrew Fairless on March 20, 2021March 7, 2021

https://youtu.be/w9GP7MNbaRc Why Distributed Systems Are HardJul 15, 2020InfoQ “Denise Yu covers a brief history of distributed computing, presents a survey of key academic contributions to distributed systems theory… and digsContinue readingWhat I Watch: Why Distributed Systems Are Hard

What I Read: Associative Memories

By Andrew Fairless on February 22, 2021January 27, 2021

https://thegradient.pub/dont-forget-about-associative-memories/ Don’t Forget About Associative Memories07.Nov.2020Robert BatesRobert is a Principal Engineer II with Veloxiti. He holds an MSCS in ML from Georgia Tech + MBA in Finance from Saint Edward’s.Continue readingWhat I Read: Associative Memories

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

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