by Presented by Jordan Erica Webber and Ian Sample. Produced by Max Sanderson and Danielle Stephens on January 18, 2019 at 6:00 am

In our latest collaboration, Jordan Erica Webber teams up with Ian Sample of the Guardian’s Science Weekly podcast to look at why artwork produced using AI is forcing us to confront how we define creativityIn October 2018, the British auction house Christie’s became the first to sell a work of art created by an algorithm.The Portrait of Edmond Belamy was sold for $432,500 (£336,000), which was much higher than anyone had expected. This groundbreaking sale was controversial, not least in the AI art world itself. Continue reading... […]

by Presented by Ian Sample and Jordan Erica Webber. Produced by Danielle Stephens and Max Sanderson on January 18, 2019 at 6:00 am

In our latest collaboration, Ian Sample teams up with Jordan Erica Webber of Chips with Everything to look at why artwork produced using artificial intelligence is forcing us to look at how we define creativityIn October 2018 the British auction house Christie’s became the first to sell a work of art created by an algorithm.The painting, Portrait of Edmond Belamy, was sold for $432,500, which was much more than anyone had been expecting. This groundbreaking sale created some controversy, not least in the AI art world itself. Continue reading... […]

by John Naughton on January 13, 2019 at 7:00 am

Journalists need to stop parroting the industry line when it comes to artificial intelligenceArtificial intelligence (AI) is a term that is now widely used (and abused), loosely defined and mostly misunderstood. Much the same might be said of, say, quantum physics. But there is one important difference, for whereas quantum phenomena are not likely to have much of a direct impact on the lives of most people, one particular manifestation of AI – machine-learning – is already having a measurable impact on most of us.The tech giants that own and control the technology have plans to exponentially increase that impact and to that end have crafted a distinctive narrative. Crudely summarised, it goes like this: “While there may be odd glitches and the occasional regrettable downside on the way to a glorious future, on balance AI will be good for humanity. Oh – and by the way – its progress is unstoppable, so don’t worry your silly little heads fretting about it because we take ethics very seriously.”This research reveals why so many people seem oblivious to, or complacent about, the challenges that AI poses Continue reading... […]

by Thomas Hughes on January 11, 2019 at 11:03 pm

In this blog post, we’ll show you how to deploy an inference pipeline consisting of pre-processing using SparkML, inferences using XGBoost, and post-processing using SparkML. For this particular example, we are using the Car Evaluation Data Set from UCI’s Machine Learning Repository and training an XGBoost model to predict the condition of a car (i.e. unacceptable, acceptable, good, or very good). […]

by Hans-Christian Pahlig on January 11, 2019 at 6:32 pm

More than ten years ago, simpleshow started to help their customers explain materials, ideas, and products by using three-minute animated explainer videos. These explainer videos use two hands and simple, black and white illustration to lead viewers through a story. Today, the company also provides mysimpleshow.com, a platform that allows anyone to produce high-quality explainer […]