ODSC - Open Data Science

AUGUST 22, 2023

Hospitals Since last year, there have been news stories of researchers across the globe utilizing machine learning and AI to help power new cutting-edge research. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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Mlearning.ai

MARCH 24, 2023

This raises an important question - “Are machines above morality and more importantly above law? EU AI Act: Summary of Ethical guidelines As per the act, a trustworthy AI should be lawful , ethical and robust. Societal and environmental well-being 7. Human agency and oversight 2. Technical robustness and safety 3.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

ODSC - Open Data Science

JULY 25, 2023

Part 3: Economic, Political, and Environmental Concerns, and New Developments Environmental, political, and economic concerns can easily derail or complicate decisions about how to invest in or use data center technology. Several political, economic, and environmental issues about data centers are controversial.

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ODSC - Open Data Science

AUGUST 18, 2023

Furthermore, this collaboration could pave the way for groundbreaking advancements in biotech, potentially revolutionizing our understanding of longevity, enhancing our healthcare systems, and providing innovative solutions for environmental monitoring through the mapping and translation of language models of natural systems.

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Artificial Intelligence Artificial Intelligence AI AI 98

ODSC - Open Data Science

JULY 20, 2023

Part 1 of this series introduced readers to ChatGPT and how it can be used to learn more about a topic (specifically, data centers) that has many different technical, business, environmental, political, and economic considerations. Lawyers blame ChatGPT for tricking them into citing bogus case law, on [link] , June 8, 2023.

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Hacker News

SEPTEMBER 24, 2021

Moore's Law and other improvements in computer hardware yielded a roughly 10-million-fold increase in the number of computations that a computer could do in a second. So the good news is that deep learning provides enormous flexibility. The bad news is that this flexibility comes at an enormous computational cost.

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