19 ways of looking at data science at the singularity

19 ways of looking at data science at the singularity, from David ...

David Donoho, which argues that some of the rapid progress in data science and AI research in recent years has come from “frictionless reproducibility.”

19 ways of looking at data science at the singularity, from David ...

David Donoho published this article, Data Science at the Singularity, and the journal published it with 16 discussions: by Lorena Barba: The Path to ...

Joey Eisenberg on LinkedIn: 19 ways of looking at data science at ...

Interesting article and discussion. 19 ways of looking at data science at the singularity, from David Donoho and 17 others. https://statmodeling.stat ...

Andrew Gelman et al. در X: «19 ways of looking at data science at ...

19 ways of looking at data science at the singularity, from David Donoho and 17 others https://t.co/EXUrwH6oUj.

Dennis Alexis Valin Dittrich on LinkedIn: 19 ways of looking at data ...

19 ways of looking at #dataScience at the #singularity https://lnkd.in/dXXqrP4q "The emergence of frictionless #reproducibility flows from three data ...

Data Science at the Singularity · Issue 6.1, Winter 2024

Scientists today have a completely different set of ideas about what can be learned from data, and how to go about learning it, than only 10 ...

Data Science(علم البيانات) on X: "19 ways of looking at data ...

19 ways of looking at data science at the singularity, from David Donoho and 17 others https://t.co/40VlHquD8k.

Data Science at the Singularity · Issue 6.1, Winter 2024

You're viewing an older Release (#1) of this Pub. · This Release (#1) was created on Jan 29, 2024 ( 9 months ago ) · The latest Release (#2) was created on Apr 17 ...

(PDF) Data Science at the Singularity - ResearchGate

This makes it look like there's a superpower out there. Maybe it's AI? (Insider): No, actually it's data ...

[2310.00865] Data Science at the Singularity - arXiv

This opens the way for PR to push worrying narratives: not only `AI Extinction', but also the supposed monopoly of big tech on AI research.

Rethinking the Data Science Singularity · Issue 6.1, Winter 2024

This represents a departure from previous practices of in-principle reproducibility, offering a more streamlined and trustworthy method for verifying and ...

Has anyone ever taken a look at the singularity subreddit?

So called “data scientists” and “engineers” predicting AI to cause mass unemployment. I wanted to ask actual professionals in a dedicated ...

How Far Are We From AI Singularity? - Northwest Executive Education

... Machine Learning, Science and Environment, Technology. Table of Contents. Toggle ... how to complete it by working with one-dimensional data.

The Coming Technological Singularity

The dilemma felt by science fiction writers will be perceived in other creative endeavors. (I have heard thoughtful comic book writers worry about how to have ...

To Be Ethical, AI Must Become Explainable. How Do We Get There?

Vanessa has been writing about science and technology for eight years and was senior editor at Singularity Hub. She's interested in ...

Technological singularity - Wikipedia

Some scientists, including Stephen Hawking, have expressed concern that artificial superintelligence (ASI) could result in human extinction. The consequences of ...

Can We Stop Runaway A.I.? | The New Yorker

Matthew Hutson on technologists' warnings about the dangers of the so-called singularity, and the question of whether anything can be done ...

What is AI Singularity and How Far are We From It? - Emeritus

Before discussing the odds of such a dystopian future, let's first take a closer look at what singularity means. Technological Singularity: What ...

Economic History and the Road to the Singularity | by Jeremie Harris

... data science and machine learning, hosted by Jeremie Harris. Apart ... looking at data or looking at uncertainties between models. How ...

When will singularity happen? 1700 expert opinions of AGI [2024]

Most computer scientists believe that it will take less than infinite time and memory to model the human brain. However, there is not a mathematically sound way ...