Foundations For Machine Learning In English (Or Russian)

We are big fans of posts and videos that try to give you a gut-level intuition on technical topics. While [vas3k’s] post “Machine Learning for Everyone” fits the bill, we knew we’d like it from the opening sentences:

Machine Learning is like sex in high school. Everyone is talking about

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Detecting Trojan attacks against deep neural networks

A group of researchers with CSIRO’s Data61, the digital innovation arm of Australia’s national science agency, have been working on a system for run time detection of trojan attacks on deep neural network models. Although it has yet to be tested in the… Continue reading Detecting Trojan attacks against deep neural networks

Video: Learning AI for Hackers – A Visual Primer

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Video and Slide Deck from EH-Net Live! Dec 2018
Last month on EH-Net Live! we discussed a lot of big picture concepts on the growing AI presence in organizations, and, more specifically for our ethical… Continue reading Video: Learning AI for Hackers – A Visual Primer

Neural Network Knows When Cat Wants To Go Outside

Neural networks are computer systems that are vaguely inspired by the construction of animal brains, and much like human brains, can be trained to obey the whims of the almighty domestic cat. [EdjeElectronics] has built just such a system, and his cat is better off for it.

The build uses a Raspberry Pi, fitted with the Pi Camera board, to image the area around the back door of the house. A Python script regularly captures images and passes them to a TensorFlow neural network for object recognition. The TensorFlow network returns object type and positions to the Python script. This …read more

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Artificial Intelligence Composes New Christmas Songs

One of the most common uses of neural networks is the generation of new content, given certain constraints. A neural network is created, then trained on source content – ideally with as much reference material as possible. Then, the model is asked to generate original content in the same vein. This generally has mixed, but occasionally amusing, results. The team at [Made by AI] had a go at generating Christmas songs using this very technique.

The team decided that the easiest way to train their model would be to use note data from MIDI files. MIDI versions of Christmas songs …read more

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Webinar: Learning AI for Hackers – A Visual Primer on Dec 20 2018

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Join Joshua Saxe, Chief Data Scientist at Sophos and author of “Malware Data Science”, for an exploration of AI for the visual learner. Yes… there will be code, tools and advanced math… Continue reading Webinar: Learning AI for Hackers – A Visual Primer on Dec 20 2018

Neural Network Pies That Might Be Worth A Try

Neural networks are a key technology in the field of machine learning. A common technique is training them with sample data, and then asking them to create something new in the same vein. AI researcher [Janelle Shane] decided to task a neural network with a fun task – inventing new kinds of pie.

Using the char-rnn library, the network was initially trained on a sample of 2237 pie recipe titles, sourced from around the internet. Early iterations struggled to even spell “pie”, but as the network improved, so did the results. Where we can’t imagine how one would even make …read more

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The Naughty AIs That Gamed The System

Artificial intelligence (AI) is undergoing somewhat of a renaissance in the last few years. There’s been plenty of research into neural networks and other technologies, often based around teaching an AI system to achieve certain goals or targets. However, this method of training is fraught with danger, because just like in the movies – the computer doesn’t always play fair.

It’s often very much a case of the AI doing exactly what it’s told, rather than exactly what you intended. Like a devious child who will gladly go to bed in the literal sense, but will not actually sleep, …read more

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