Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. That is, is giving supervision to adjust via.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. Prodigy In December we released Prodigy , our new annotation tool powered by active learning. You can see the thought process behind Prodigy in three blog posts that we wrote along the way. Here’s what we got done.

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BAIR

APRIL 6, 2023

This approach is known as “Fleet Learning,” a term popularized by Elon Musk in 2016 press releases about Tesla Autopilot and used in press communications by Toyota Research Institute , Wayve AI , and others. Furthermore, due to advances in cloud robotics , the fleet can offload data, memory, and computation (e.g.,

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? Then we generalized that for the entire field of supervised learning.

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? Then we generalized that for the entire field of supervised learning.

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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