Remove topics observability
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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

One critical tool for understanding and improving the urgent challenges facing our world is Earth observation (EO) data, meaning data that is gathered in outer space about life here on Earth! Earth observation data provides accurate and free information on our atmosphere, oceans, ecosystems, land cover, and built environment.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

The event will cover a variety of topics related to generative AI and data storytelling, including: What is generative AI and how does it work? It is a great opportunity to learn from an expert in the field and to network with other professionals who are interested in these topics. How can generative AI be used for data storytelling?

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Top 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

The event will cover a wide range of topics, including the latest technologies, strategies, and processes about data platforms, governance, and contracts, generative AI, and more. The AI Expo features a variety of talks, workshops, and demos on a wide range of AI topics. The summit will be held on November 8th, 2023.

AI 195
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Topic Modeling on Customer Reviews using BERTopic and Llama2

Towards AI

Topic Modeling on Customer Reviews using BERTopic and Llama2 A Quick Guide to Creating Interpretable Topics from Customer Reviews with BERTopic and Llama2 using Ollama. Topic modeling is a technique that facilitates the discovery of main themes and topics within a vast collection of text documents.

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Is LK-99 APS evidence enough to believe room-temperature superconductors are real?

Dataconomy

However, it’s essential to approach this topic with a balanced perspective. Traditionally, superconductivity has been observed at extremely low temperatures, and achieving it at room temperature would revolutionize various fields, from energy transmission to medical imaging. Featured image credit: Hyun-Tak Kim/ScienceCast

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Unexpected Connections Emerge at CDS’ Weekly Data Science Lunch Seminar

NYU Center for Data Science

“The interdisciplinary nature of CDS naturally lends itself to a wide variety of topics,” Wald observed. While the organizers don’t dictate topics, they do aim for broad appeal and intellectual engagement. The topic was timely and thought-provoking,” he said.

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Inverse scaling: Explore things that can go wrong when you increase the size of your language models

Data Science Dojo

The Allure of Big Models Perception of large models equating to better models The general perception that larger models equate to better performance stems from observed trends in AI and machine learning. Inverse Scaling in Language Models Inverse scaling is a phenomenon observed in language models.