January 2021 – Page 2 – Andrew Fairless, Ph.D.

What I Read: AI’s limitations

By Andrew Fairless on January 26, 2021December 31, 2020

https://www.economist.com/technology-quarterly/2020/06/11/an-understanding-of-ais-limitations-is-starting-to-sink-in Technology QuarterlyJun 11th 2020 editionAn understanding of AI’s limitations is starting to sink inAfter years of hype, many people feel AI has failed to deliver, says Tim Cross “SurveyingContinue readingWhat I Read: AI’s limitations

What I Read: Neural Architecture Search

By Andrew Fairless on January 26, 2021December 31, 2020

https://lilianweng.github.io/lil-log/2020/08/06/neural-architecture-search.html Neural Architecture SearchAug 6, 2020 by Lilian Weng “Automatically learning and evolving network topologies is not a new idea (Stanley & Miikkulainen, 2002). In recent years, the pioneering workContinue readingWhat I Read: Neural Architecture Search

What I Read: How balance drug prices and innovation

By Andrew Fairless on January 25, 2021December 31, 2020

https://theincidentaleconomist.com/wordpress/how-other-countries-balance-drug-prices-and-innovation-part-1/ September 28 2020 12:11 PMHow other countries balance drug prices and innovation (part 1)by Liam Bendicksen “The idea that patients in the US shouldn’t pay more for prescription drugsContinue readingWhat I Read: How balance drug prices and innovation

What I Read: This AI learns by reading the web

By Andrew Fairless on January 25, 2021December 31, 2020

https://www.technologyreview.com/2020/09/04/1008156/knowledge-graph-ai-reads-web-machine-learning-natural-language-processing/ This know-it-all AI learns by reading the entire web nonstopDiffbot is building the biggest-ever knowledge graph by applying image recognition and natural-language processing to billions of web pages.Will DouglasContinue readingWhat I Read: This AI learns by reading the web

What I Read: Best Practices for Building Machine Learning at Scale

By Andrew Fairless on January 24, 2021December 30, 2020

https://medium.com/dataseries/linkedins-pro-ml-architecture-summarizes-best-practices-for-building-machine-learning-at-scale-77fcb6afc9ec LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at ScaleThe reference architecture is powering mission critical machine learning workflows within LinkedIn.Jesus RodriguezSep 17 “Building machine learning solutionsContinue readingWhat I Read: Best Practices for Building Machine Learning at Scale

What I Read: Can Neural Networks Show Imagination?

By Andrew Fairless on January 24, 2021December 30, 2020

https://medium.com/dataseries/can-neural-networks-show-imagination-deepmind-thinks-they-can-b3b874aece67 Can Neural Networks Show Imagination? DeepMind Thinks they CanDeepMind has done some of the relevant work in the area of simulating imagination in deep learning systems.Jesus RodriguezSep 14 “IncorporatingContinue readingWhat I Read: Can Neural Networks Show Imagination?

What I Read: Multi-Armed Bandits and Experimentation

By Andrew Fairless on January 23, 2021December 30, 2020

https://multithreaded.stitchfix.com/blog/2020/08/05/bandits/ Multi-Armed Bandits and the Stitch Fix Experimentation PlatformBlog post by Brian AmadioBrian AmadioAugust 05, 2020 “Multi-armed bandits have become a popular alternative to traditional A/B testing for online experimentationContinue readingWhat I Read: Multi-Armed Bandits and Experimentation

What I Read: Traffic prediction with Graph Neural Networks

By Andrew Fairless on January 23, 2021December 30, 2020

https://deepmind.com/blog/article/traffic-prediction-with-advanced-graph-neural-networks Traffic prediction with advanced Graph Neural Networks “We discovered that Graph Neural Networks are particularly sensitive to changes in the training curriculum… the most successful approach to this problemContinue readingWhat I Read: Traffic prediction with Graph Neural Networks

What I Read: Bayesian Product Ranking

By Andrew Fairless on January 22, 2021December 30, 2020

https://tech.wayfair.com/data-science/2020/01/bayesian-product-ranking-at-wayfair/ Bayesian Product Ranking at WayfairJanuary 20, 2020 “If we are not able to personalize a customer’s experience, for example, because they are a first-time customer and we do notContinue readingWhat I Read: Bayesian Product Ranking

What I Read: Continual Learning… and the Bridge to Active and Open World Learning

By Andrew Fairless on January 22, 2021December 30, 2020

https://arxiv.org/abs/2009.01797 A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningMartin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan RameshContinue readingWhat I Read: Continual Learning… and the Bridge to Active and Open World Learning

Month: January 2021