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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Additionally, the elimination of human loop processes has made it possible for AI/ML to construct training data for data annotation and labeling, which has a major influence on geospatial data.

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Meet the Fellow: Berfin ?im?ek

NYU Center for Data Science

She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization. Prior to joining CDS, Berfin interned at Meta AI where she worked on large-scale experiments.

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Blending Theory and Utility: The Vision and Impact of CDS’s MaD Group

NYU Center for Data Science

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity. This is an enormously complex — and ambitious — endeavor.

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This AI newsletter is all you need #32

Towards AI

Last Updated on January 31, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis Following recent advancements in image, code, and text generation, there have been new developments in AI-generated music and text-to-speech. Hottest News 1.ChatGPT

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Free eBooks on Artificial Intelligence to read in 2023

Dlabs.ai

And the author promises the book will teach you how machine learning works so that you’re ready to build complex AI systems, pass an interview, or start your own business. Machine Learning Yearning Author: Andrew Ng The next free eBook was created by one of the most popular personalities in the AI industry. Don’t believe him?

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Whence your reward function?

Hal Daumé III

I ran a grad seminar in reinforcement learning this past semester , which was a lot of fun and also gave me an opportunity to catch up on some stuff I'd been meaning to learn but haven't had a chance and old stuff I'd largely forgotten about. The usual refrain that I hear arguing against that approach is based on the quantity of data.

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Featured AI2er: Patrick Beukema

Allen AI

Considering the demand and astronomically high salaries associated with AI right now, it’s encouraging that these experts are choosing to spend their time and energy helping environmental causes. Skylight AI is only in its nascent stage. What are you looking forward to with your work in the coming months?