Armies of content moderators are working to scrub social networks of the worst content humanity has to offer -- violence, gore, hardcore sexual imagery -- and they can't keep up. The disturbing litany of murders, suicides and assaults have already become macabre technological milestones. These include Robert Godwin Sr., the 74-year-old father of nine and grandfather of 14 who was selected by a gunman at random and then murdered in a video posted to Facebook in mid-April. One week later, a man in Thailand streamed the murder of his 11-month old daughter on Facebook Live before taking his own life. The beating and torture of an 18-year-old man with intellectual and development disabilities was live-streamed on the service in January, and the tragic shooting death of two-year-old Lavontay White Jr. followed a month later on Valentine's Day.

Google Home doesn't have a huge range of on-demand music services on offer (Google's services and Spotify are your biggest choices), but you can add one to the list today. Deezer has launched Home support for its streaming music service, giving listeners in several countries a hands-free music source if they're not fans of the larger providers. The stand-out is voice control over Deezer's semi-automatic Flow playlist -- you can tell Home to "play your Flow" and get a highly personalized playlist with very little effort. Not surprisingly, Deezer is catering to its core European audience first: it's starting today with support in France and Germany, while the US, UK, Australia and Canada are due later in 2017. You probably won't rush to sign up for Deezer if you weren't already a member, but look at it this way: few music services outside of the majors work with voice-guided speakers, so this could be a reason to stick to Deezer if you were thinking of jumping ship.

I have a confession to make. I feel like a fraud. Every few days, I receive an email from either a friend, a friend of a friend, or a random company that asks me for my insights in Artificial Intelligence. These include entrepreneurs who have just sold their startups, Stanford MBA graduates who reject half a million dollar offers, venture capitalists, even major bank executives. A couple of years earlier, I wouldn't even have the courage to approach those people, let alone dreaming about them wanting to talk to me.

President Donald Trump speaks during an announcement on immigration reform. Entrepreneur Vivek Wadhwa says the RAISE Act could be good for the country. Editor's note: Silicon Valley entrepreneur Vivek Wadhwa has appeared frequently on this page, most recently here. I was shooting with him just last week in and around his home in Palo Alto for a story on his new book, "The Driver in the Driverless Car," and his forecast of an imminent job crisis caused by high technology and what we as a society should do about it. And more to the point, high tech in the form his Tesla, which can already do a lot of the driverless driving, including parking itself in Vivek's garage by remote control -- somewhat haltingly -- as this brief 1:33 video clip demonstrates: An immigrant from India, Vivek has been a staunch -- some would say "strident" -- supporter of diversity, especially in high tech, where he has found it lamentably lacking with regard to both gender and race.

This is the Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), which was held in Sydney, Australia, August 10, 2017. Invited speakers were Tony Jebara, Pang Wei Koh, and David Sontag.

An artificially intelligent robot that can understand sarcasm in social media posts better than humans has been developed by scientists. The algorithm can decipher the tone of tweets, and researchers say it could be used to tackle online abuse. By interpreting emoji used alongside a post's text, the robot can understand emotional subtext and identify if sarcasm is being used. A robot that can understand sarcasm in social media posts better than humans has been developed by scientists. By interpreting emoji used alongside a post's text, the AI can understand emotional subtext and identify if sarcasm is being used (stock image) Researchers created the AI, known as DeepMoji, by feeding it 1.2 billion tweets. The robot analysed each tweet to understand how 64 popular emoji were used in them to express meaning.

Artificial intelligence is already transforming the world around us, but one expert predicts terrifying changes on the horizon over the next 30 years. Professor Toby Walsh believes machine learning has the power to radically alter life as we know it by the year 2050. Among the more disturbing prophecies, which could be taken straight from an episode of Black Mirror, is that people will live on as chatbots after they die. AI is already transforming the world around us, but one expert predicts terrifying changes on the horizon over the next 30 years. Dr Walsh's vision for the machine world is outlined in a new book entitled'It's Alive!: Artificial Intelligence from the Logic Piano to Killer Robots'.

A quick, hassle-free way to stay on top of robotics news, our robotics digest is released on the first Monday of every month. Sign up to get it in your inbox. From wacky talking Einsteins to clumsy security'bots, from speedy drones to the underwater operations at Fukushima, it's been another busy month. So let's kick off our July review with a look at robots in action! You'd be forgiven for missing this first one.

Artificial intelligence has jumped from sci-fi movie plots into mainstream news headlines in just a couple of years. And the headlines are often contradictory. AI is either a technological leap into greater prosperity or mass unemployment; it will either be our most valuable servant or terrifying master. But what is AI, how does it work, and what are the benefits and the concerns? AI is a computer system that can do tasks that humans need intelligence to do. "An intelligent computer system could be as simple as a program that plays chess or as complex as a driverless car," Mary-Anne Williams, professor of social robotics at the University of Technology, Sydney, said.

Recently software development companies started to embrace Machine Learning (ML) techniques for introducing a series of advanced functionality in their products such as personalisation of the user experience, improved search, content recommendation and automation. The technical challenges for tackling these problems are heavily researched in literature. A less studied area is a pragmatic approach to the role of humans in a complex modern industrial environment where ML based systems are developed. Key stakeholders affect the system from inception and up to operation and maintenance. Product managers want to embed "smart" experiences for their users and drive the decisions on what should be built next; software engineers are challenged to build or utilise ML software tools that require skills that are well outside of their comfort zone; legal and risk departments may influence design choices and data access; operations teams are requested to maintain ML systems which are non-stationary in their nature and change behaviour over time; and finally ML practitioners should communicate with all these stakeholders to successfully build a reliable system. This paper discusses some of the challenges we faced in Atlassian as we started investing more in the ML space.