AI

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AI, Machine Learning, and Deep Learning Explained

John Martellaro ·

We hear the first two terms all the time from Apple. They can be confusing. So, in order to help differentiate between the terms, the TechRepublic has written up a short but helpful tutorial for business people.

The first step is communicating what the definitions are for AI, machine learning (ML), and deep learning. There is some argument that AI, ML, and deep learning are each individual technologies. I view AI/ML/deep learning as successive stages of computer automation and analytics that are built on a common platform.

A traffic planning example makes it clear.

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Introducing the Animal-AI Olympics to Test AI Smarts

Andrew Orr ·

In the Animal-AI Olympics, AI will be given tests originally designed to test animal cognition in a US$10,000 competition.

The Animal-AI Olympics is the creation of a team of researchers at the Leverhulme Centre for the Future of Intelligence in Cambridge, England, along with GoodAI, a Prague-based research institute. The competition is part of a bigger project at the Leverhulme Centre called Kinds of Intelligence, which brings together an interdisciplinary team of animal cognition researchers, computer scientists, and philosophers to consider the differences and similarities between human, animal, and mechanical ways of thinking.

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These AI-Created People Don't Exist

John Martellaro ·

Digital Trends writes: “While it’s been clear for quite some time that modern A.I. is getting pretty darn good at generating accurate human faces, it’s a reminder of just how far we’ve come…”  The face shown here is just one of many created by an AI, explained in the article. “The results … well, you can see them for yourself by checking out the website. Hitting refresh will iterate an entirely new face.”

Soon there will be artificial people on the internet writing AI created articles. (I am actually one of them.)

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Blockchain and AI Might Be a Perfect Match

Charlotte Henry ·

Blockchain technology is sometimes presented as a cure-all – a technology that can improve everything from finance to health, and anything in between. While it may not be able to solve all the world’s ills, there is no doubt that it is a hugely powerful technology that can be used for a large amount of good. One field where the blockchain could have a profound effect is in artificial intelligence, as Yessi Bello Perez outlined on The Next Web.

Unlike cloud-based solutions, the data on a blockchain is broken up into small sections and distributed across the entire computer network. There’s no central authority or control point, and each computer, or node, holds a complete copy of the ledger – meaning that if one or two nodes are compromised, data will not be lost. All that takes place on the blockchain is encrypted and the data cannot be tampered with. Essentially, this means blockchains are the perfect storage facility for sensitive or personal data which, if processed with care with the use of AI, can help unlock valuable bespoke experiences for consumers.

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The Facebook 10 Year Challenge Might not Just be a Harmless Meme

Charlotte Henry ·

If you have been on Facebook or Instagram recently, you will have noticed the “10 Year Challenge”. Users post a profile picture of themselves from 10 years ago and another from now. It is meant to be a harmless meme that laughs at ourselves and late 2000s fashion. But could there be something more sinister to it? Katie O’Neil wondered in Wired if the “10 Year Challenge” is actually helping Facebook develop a facial recognition algorithm.

Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you’d want a broad and rigorous dataset with lots of people’s pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years. Sure, you could mine Facebook for profile pictures and look at posting dates or EXIF data. But that whole set of profile pictures could end up generating a lot of useless noise…In other words, it would help if you had a clean, simple, helpfully labeled set of then-and-now photos.

Podcast

Twitter Insanity, Apple's AI Showdown, FBI Exaggeration, Apple's HQ Hunt - ACM 463

Bryan Chaffin · · Add Comment

Twitter has lost its corporate mind, Bryan Chaffin and Jeff Gamet argue in this episode of ACM. They also weigh the importance of WWDC 2018 in terms of Siri, and discuss whether or not Apple has to announce significant improvements to remain competitive in AI. Then there’s the revelation that the FBI exaggerated the number of locked iPhones it couldn’t get into, and they squeeze in a fourth topic, too: Apple’s hunt for a new campus, and how it contrasts with Amazon.