AI Essentials

Applied Use Cases

Explore how AI will change your business along with detailed references, concrete examples and use cases. This Essentials has been published to help turn business challenges into success with Artificial Intelligence and Machine Learning.

Top news of the week: 25.12.2020.

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Applied Use Cases

@dmonett shared
On Dec 24, 2020
Some quotes on #AI, #intelligence and #understanding from the #AIDebate2, excellently moderated by @GaryMarcus 1/ https://t.co/ULNdnVnYT4
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AI Debate 2: Night of a thousand AI scholars

AI Debate 2: Night of a thousand AI scholars

A year ago, Gary Marcus, a frequent critic of deep learning forms of AI, and Yoshua Bengio, a leading proponent of deep learning, faced off in a two-hour debate about AI at …

@vnfrombucharest shared
On Dec 19, 2020
RT @delliott: We are hiring PhD Fellows to work on robust handwriting recognition models to digitize historical recods. You will work on OCR, constrained inference, cross-lingual transfer learning, modelling historical drift, and many more topics. Apply by January 15 https://t.co/FvfjqKY1Bo
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PhD fellow in Natural Language Processing and Machine Learning

PhD fellow in Natural Language Processing and Machine Learning

Department of Computer Science Faculty of Science Department of Computer Science, Faculty of Science at University of Copenhagen is offering one or more PhD scholarships in …

@vnfrombucharest shared
On Dec 22, 2020
RT @fpedregosa: Here comes the second part on my series of blog posts on the connection between optimization methods and polynomials. Now it's all about momentum! When Chebyshev meets Chebyshev https://t.co/eXKZ5dF4ky
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On the Link Between Optimization and Polynomials, Part 2

On the Link Between Optimization and Polynomials, Part 2

An analysis of momentum can be tightened using a combination Chebyshev polynomials of the first and second kind. Through this connection we'll derive one of the most iconic methods in ...

@Sam_L_Shead shared
On Dec 23, 2020
Nice piece from @LeoKelion on DeepMind's new agent: MuZero. "For the first time, we actually have a system which is able to build its own understanding of how the world works," says DeepMind's principal research scientist David Silver. https://t.co/02G8u09gul
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DeepMind's AI agent MuZero could turbocharge YouTube

DeepMind's AI agent MuZero could turbocharge YouTube

The successor to AlphaGo is being used to create a more efficient type of video compression.

@arstechnica shared
On Dec 19, 2020
A clever strategy to deliver COVID aid—with satellite data https://t.co/Qjqlv0sKlN by @wired
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A clever strategy to deliver COVID aid—with satellite data

A clever strategy to deliver COVID aid—with satellite data

Togo used image analysis algorithms to target economic support for most vulnerable.

@arstechnica shared
On Dec 24, 2020
Google develops an AI that can learn both chess and Pac-Man https://t.co/3MMxvo4G2h by @j_timmer
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Google develops an AI that can learn both chess and Pac-Man

Google develops an AI that can learn both chess and Pac-Man

MuZero handles both rules-based and open-ended games.

@Sam_L_Shead shared
On Dec 18, 2020
RT @jenn_elias: Google now faces several antitrust challenges around the world, including three government lawsuits filed in the U.S. in the last two months alone. @lauren_feiner broke down all the major cases in the U.S. and Europe and how they differ from each other. https://t.co/oDjrKfOrhD
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Google’s antitrust mess: Here are all the major cases it’s facing in the U.S. and Europe

Google’s antitrust mess: Here are all the major cases it’s facing in the U.S. and Europe

Google now faces several antitrust challenges around the world, including three government lawsuits filed in the U.S. in the last two months alone.

@dmonett shared
On Dec 23, 2020
RT @FrankPasquale: “One of the core attractions of algorithms is that they allow the powerful to blame a black box for politically unattractive outcomes for which they would otherwise be responsible” https://t.co/9PZoO6zhLp
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This is the Stanford vaccine algorithm that left out frontline doctors

This is the Stanford vaccine algorithm that left out frontline doctors

The university hospital blamed a “very complex algorithm” for its unequal vaccine distribution plan. Here’s what went wrong.