Articles about machine learning

Jimmy Carr

8 out of 10 cats fear statistics – AI doesn't have this problem

If statistics were a human being, it would have been in deep therapy all of its 350-year life. The sessions might go like this: Statistics: "Everyone hates me." Pause. Therapist: "I'm sure it's not everyone..." Statistics: "And they misunderstand me." Pause. Therapist: "Sorry, I didn't quite get what you meant there..." …
Mark Whitehorn, 24 May 2017

Cloud giants 'ran out' of fast GPUs for AI boffins

Top cloud providers struggled to provide enough GPUs on-demand last week, AI experts complained to The Register. As a deadline for research papers loomed for a major conference in the machine-learning world, teams around the globe scrambled to rent cloud-hosted accelerators to run tests and complete their work in time to …
Katyanna Quach, 22 May 2017
Bike crash photo via Shutterstock

TensorFlow: I want to like you, but you're tricksy

Hands-on Occasionally a technology comes along that changes the way that people work. Docker has had a profound effect on how applications are deployed in the cloud, Hadoop changed how analysis of big data was done and the R language has disrupted the statistics market. And so to TensorFlow, which emerged from the Machine Learning team …
Andrew Cobley, 12 May 2017

Sorry, Dave, I can't code that: AI's prejudice problem

Bureaucrats don’t just come in uniforms and peaked caps. They come in 1U racks, too. They’ll deny you credit, charge you more for paperclips that someone in another neighbourhood, and maybe even stop you getting out of jail. Algorithms are calling the shots these days, and they may not be as impartial as you thought. To some, …

Facebook decides fake news isn't crazy after all. It's now a real problem

Analysis Last November at the Techonomy Conference in Half Moon Bay, California, Facebook CEO Mark Zuckerberg dismissed the notion that disinformation had affected the US presidential election as lunacy. "The idea that fake news on Facebook, which is a very small amount of the content, influenced the election in any way, I think, is a …
Thomas Claburn, 27 Apr 2017
Washingmachines photo via Shutterstock

Washing machine AI? You'll thank AWS, Microsoft, Google (eventually)

There's a war brewing in the cloud, and machine learning may well determine the outcome. With infrastructure services trending toward commoditisation, each of the big-three cloud purveyors is racing to augment vanilla IaaS and PaaS with not-so-vanilla machine learning (ML)/artificial intelligence (AI) smarts. Sure, they're way …
Matt Asay, 27 Apr 2017
Young robot studying photo via Shutterstock

A bot lingua franca does not exist: Your machine-learning options for walking the talk

So, you want to create a hugely successful machine-learning startup? Or you've been asked to start investigating ML for your firm? Well, you'd better get programming – but what language should you use? No languages have been designed specifically with ML in mind, but some do lend themselves to the task. Developers …
Danny Bradbury, 25 Apr 2017
Jack Russell in love photo via Shutterstock

The pain in your chest? That'll be Big Tech's AI arrow of love

If you couldn't feel the love this week, you're lacking a heart. Tech firms threw AI code and services at devs in a further attempt to secede and ultimately tie them into their respective ways of talking to machines. Facebook open-sourced its Caffe2 deep-learning framework – open-sourcing of code being a proven way in tech of …
Gavin Clarke, 20 Apr 2017
STAR robot surgeon

Accept for a second that robot surgeons exist. Who will check they're up to the job – and how?

Medical robots should be split into different categories of autonomy, just as driverless cars are, a group of academics proposed Wednesday in Science Robotics. As should be obvious, surgery requires extensive training. In the US at least, students have to successfully get through university, postgraduate medical school, and …
Katyanna Quach, 20 Apr 2017
West world original poster

Regulate This! Time to subject algorithms to our laws

Opinion Algorithms are almost as pervasive in our lives as cars and the internet. And just as these modes and mediums are considered vital to our economy and society, and are therefore regulated, we must ask whether it's time to also regulate algorithms. Let's accept that the rule of law is meant to provide solid ground upon which our …

Machine vs. machine battle has begun to de-fraud the internet of lies

A long-ago cartoon in The New Yorker put it plainly: "On the Internet, nobody knows you’re a dog." If that cartoon had been written today, the caption might have read, "On the Internet, nobody knows you’re a fraud." Scam artists, snake oil salesmen, sock puppets, bot armies and bullies - every time we look up, it seems as …
Mark Pesce, 10 Apr 2017

Facebook's 'delightful' AI Clippy the Paperclip creeps into Messenger

Facebook's first practical attempt to implement machine learning blew up badly. After suffering a 70 per cent failure rate, the Messenger Bot was redesigned to provide a potentially useful menu driven service. This week Facebook introduced M, a Siri or Alexa-like AI assistant into Facebook Messenger, hoping it will fare better …
google's custom Tensor Processing Unit

Revealed: Blueprints to Google's AI FPU aka the Tensor Processing Unit

Analysis In 2013, Google realized that its growing dependence on machine learning would force it to double the number of data centers it operates to handle projected workloads. Based on the scant details Google provides about its data center operations – which include 15 major sites – the search-and-ad giant was looking at additional …

Google's video recognition AI is trivially trollable

Early in March, Google let loose a beta previewing an AI to classify videos – and it only took a month for University of Washington boffins to defeat it. The academics' approach is trivial: all the researchers (led by PhD student Hossein Hosseini) did was inserted a still photo “periodically and at a very low rate into videos …
logo for mcubed conference

M3 call for papers extended

We’ve had a cracking response to our call for papers for M3, but more than a few people at the cutting edge of AI and machine learning have been in touch to ask for extensions. So, to be fair to all, we’re pushing the deadline for the call for papers back to April 17. Full details of the call for papers are here. Which means …
Team Register, 31 Mar 2017

Don't fall for the AI hype: Here are the ingredients you need to build an actual useful thing

Artificial intelligence these days is sold as if it were a magic trick. Data is fed into a neural net – or black box – as a stream of jumbled numbers, and voilà! It comes out the other side completely transformed, like a rabbit pulled from a hat. That's possible in a lab, or even on a personal dev machine, with carefully …
Katyanna Quach, 31 Mar 2017

Robo-AI jobs doomsday may, er... not actually happen, say boffins

Special Report Today's technopanic about robots and AI, largely created by the media, may be overstated. New modelling published this week attempts to isolate the impact of industrial automation from other factors, and envisage what the economy might look like if the use of robots in industry increases, focusing on the impact on employment …
Andrew Orlowski, 30 Mar 2017

Learn to use machine learning

Promo Artificial Intelligence has crested the top of the Gartner hype cycle, and is on the lips of every technical marketing exec. Companies are doing things with it, but many projects are still proving out the concepts. You can’t talk about the weather these days without a gimmicky, gee-whiz weather chatbot trying to impress you with …
Danny Bradbury, 29 Mar 2017

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