https://ai.googleblog.com/2022/08/using-ml-to-boost-engagement-with.html Using ML to Boost Engagement with a Maternal and Child Health Program in IndiaWednesday, August 24, 2022Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research,
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
What I Read: Deep Learning From First Principles
https://horace.io/brrr_intro.html Making Deep Learning Go Brrrr From First PrinciplesHorace He “So, you want to improve the performance of your deep learning model. How might you approach such a task?”
What I Read: Researchers Build AI That Builds AI
https://www.quantamagazine.org/researchers-build-ai-that-builds-ai-20220125/ Researchers Build AI That Builds AIAnil AnanthaswamyJanuary 25, 2022“By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.”
What I Read: Deep Learning Optimization Theory
https://towardsdatascience.com/deep-learning-optimization-theory-introduction-148b3504b20f?gi=ff0bd10cc9fe Deep Learning Optimization Theory — IntroductionUnderstanding the theory of optimization in deep learning is crucial to enable progress. This post introduces the experimental and theoretical approaches to studying it.Omri
What I Read: Limits Discovered in Quest for Optimal Solutions
https://www.quantamagazine.org/surprising-limits-discovered-in-quest-for-optimal-solutions-20211101/ Surprising Limits Discovered in Quest for Optimal SolutionsMax G. LevyContributing WriterNovember 1, 2021 “Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning.