The Abstraction and Reasoning Corpus - Revision history

BPeat at 01:45, 18 May 2023

2023-05-18T01:45:03Z

BPeat at 17:21, 13 July 2020

2020-07-13T17:21:31Z

BPeat at 17:19, 13 July 2020

2020-07-13T17:19:16Z

BPeat: Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

2020-07-13T17:11:38Z

Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

New page

{{#seo:
|title=PRIMO.ai
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
}}
[http://www.youtube.com/results?search_query=Earthquake+Prediction+Challenge+kaggle+deep+machine+learning+ML Youtube search...]
[http://www.google.com/search?q=Earthquake+Prediction+Challenge+kaggle+deep+machine+learning+ML ...Google search]

* [[Kaggle Kernels]]
* [[Kaggle Competitions]]
** [http://www.kaggle.com/competitions Competitions | Kaggle]
* [[Kaggle]] Overview

Forecasting earthquakes is one of the most important problems in Earth science because of their devastating consequences.

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 However, alternative approaches, like inductive programming, offer the potential for more human-like abstraction and reasoning. The Abstraction and Reasoning Corpus (ARC) provides a benchmark to measure AI skill-acquisition on unknown tasks, with the constraint that only a handful of demonstrations are shown to learn a complex task. It provides a glimpse of a future where AI could quickly learn to solve new problems on its own. The Kaggle Abstraction and Reasoning Challenge invites you to try your hand at bringing this future into the present!
-This competition is hosted by François Chollet, creator of the Keras neural networks library. Chollet’s paper on measuring intelligence provides the context and motivation behind the ARC benchmark.
+This competition is hosted by François Chollet, creator of the Keras neural networks library. Chollet’s paper on measuring intelligence provides the [[context]] and motivation behind the ARC benchmark.
 In this competition, you’ll create an AI that can solve reasoning tasks it has never seen before. Each ARC task contains 3-5 pairs of train inputs and outputs, and a test input for which you need to predict the corresponding output with the pattern learned from the train examples.

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 * [http://www.kaggle.com/inversion/abstraction-and-reasoning-starter-notebook Starter Notebook]
-http://storage.googleapis.com/kaggle-media/competitions/ARC/arc_example.png
+<img src="http://storage.googleapis.com/kaggle-media/competitions/ARC/arc_example.png" width="600" height="200">
 Can a computer learn complex, abstract tasks from just a few examples?

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 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=Earthquake+Prediction+Challenge+kaggle+deep+machine+learning+ML Youtube search...]
+[http://www.youtube.com/results?search_query=Abstraction+Reasoning+Corpus+Challenge+kaggle+deep+machine+learning+ML Youtube search...]
-[http://www.google.com/search?q=Earthquake+Prediction+Challenge+kaggle+deep+machine+learning+ML ...Google search]
+[http://www.google.com/search?q=Abstraction+Reasoning+Corpus+Challenge+kaggle+deep+machine+learning+ML ...Google search]
 * [[Kaggle Kernels]]
@@ Line 12: / Line 12: @@
 ** [http://www.kaggle.com/competitions Competitions | Kaggle]
 * [[Kaggle]] Overview
-Forecasting earthquakes is one of the most important problems in Earth science because of their devastating consequences.
+http://storage.googleapis.com/kaggle-media/competitions/ARC/arc_example.png