Interested in machine learning? Better learn PyTorch by Matt Asay via @infoworld

Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science.

As it rivals Tensorflow I would probably suggest you get a grounding in both (if you can).

Facebook’s A.I. Whiz Now Faces the Task of Cleaning It Up. Sometimes That Brings Him to Tears by Cade Metz and Mike Isaac via @nytopinion

And sometimes that brings him to tears.

I can understand that - he has one hell of a job on his hands that has got to be a moving target.

Facebook Wants AI to Screen Content, But Fairness Issues Remain by Jeremy Kahn via @technology

One of the firm's biggest issues in trying to stop the spread of fake news on its platform is being able to train its algorithms on good examples of truth and falsehoods.

I'm really not sure that it is going to be easy to develop an AI to do what is required without making a lot of mistakes (blocking normal as well as allowing what shouldn't) so I wait for them to prove to me that it is possible and they have the tools to do it. A great company to try and work for if you have a particular interest and talent for AI though.

How Silicon Valley Puts the ‘Con’ in Consent by/via @nytopinion

If no one reads the terms and conditions, how can they continue to be the legal backbone of the internet?

A very interesting take on all the terms and conditions that we know we should read as much as they all assume you won't.

Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native by/via via @fbOpenSource

The Facebook AI Research (FAIR) Speech team is sharing the first fully convolutional speech recognition system. It uses convolutional neural networks (CNNs) for acoustic modeling and language modeling, and is reproducible. The team says that wav2letter++ is composed only of convolutional layers, which yields performance that’s competitive with recurrent architectures.

There are two articles linked of the landing page from the links in this post. This reads as a great achievement and looks very interesting.

Facebook's fight with fake news gets helping hand from robots by Natalia Drozdiak @business via @infomgmt

The firm is turning to machine-learning technologies to amplify the impact of human fact-checkers reviewing hoax news articles.

This is great news - I just hope it works properly.

Facebook said to have shared user data with select companies by David Weldon via @infomgmt

Some of these agreements were reportedly known as 'whitelists,' and enabled those firms to access information about a Facebook user’s friends.

It seems to me that this entire situation is just getting worse and worse.