Remove topic nih
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Data Science Competitions You Should Participate In

Pickl AI

The challenges cover an extensive spectrum of topics and require participants to create predictive models and algorithms. It covers a wide range of languages of programming and topics. Topcoder competitions include a wide range of topics, including data structure, algorithms, and optimisation.

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Text Summarization for NLP: 5 Best APIs, AI Models, and AI Summarizers in 2024

AssemblyAI

49:21: The National Institute of Health, the NIH, should create a similar advanced research Projects agency for Health. Paragraph Josh Seiden and Brian Donohue discuss the topic of outcome versus output on Inside Intercom. Headline Josh Seiden and Brian Donohue discuss the topic of outcomes versus output on Inside Intercom.

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Stanford professor on data-centric AI for healthcare and medicine

Snorkel AI

They were trained at three different locations, including Stanford, Boston, and at the NIH. To illustrate this, here I’m showing you three models that are used to detect pneumothorax from chest X-ray images. We also evaluated them on test datasets from these three different locations. Makes sense.

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Stanford professor on data-centric AI for healthcare and medicine

Snorkel AI

They were trained at three different locations, including Stanford, Boston, and at the NIH. To illustrate this, here I’m showing you three models that are used to detect pneumothorax from chest X-ray images. We also evaluated them on test datasets from these three different locations. Makes sense.

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. Our team was able to be the “glue,” if you will, between the economists, the statisticians, the scientists at NIH, the people at NASA, etc. Former U.S. Chief Data Scientist, and where the title “data scientist” came from.

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. Our team was able to be the “glue,” if you will, between the economists, the statisticians, the scientists at NIH, the people at NASA, etc. Former U.S. Chief Data Scientist, and where the title “data scientist” came from.

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Are There Examples of Overhang for Other Technologies?

AI Impacts

Thanks to Rick Korzekwa, Harlan Stewart, Zach Stein-Perlman, Rocket Drew, McKenna Fitzgerald, Ryan Kidd, Curt Tigges, and Alex Gray for helpful discussions on this topic. While the NAS does not enforce the guidelines itself, the NIH requires them in order to receive funding. Thanks for reading AI Impacts blog! 1 Zach Stein-Perlman.