On Inside Business this week we discuss Artificial Intelligence and ask how it's going to affect our lives, and see how Northern Ireland is involved? We are joined by; Austin Tanney, head of life science at Analytics Engines; Dr Michaela Black, head of computing and intelligent systems at Ulster University; Queen's student Rachael Coulter, who has attended an AI Camp this summer; and Tom Gray, head of digital at Catapult NI. Also on the programme is Belfast-born Noel Sharkey, professor of artificial intelligence and robotics at the University of Sheffield.

Facebook shuts Artificial Intelligence system after bots create own language Days after Tesla CEO Elon Musk said that artificial intelligence (AI) was the biggest risk, Facebook has shut down one of its AI systems after chatbots started speaking in their own language defying the codes provided. According to a report in Tech Times on Sunday, the social media giant had to pull the plug on the AI system that its researchers were working on "because things got out of hand". "The AI did not start shutting down computers worldwide or something of the sort, but it stopped using English and started using a language that it created," the report noted. Initially the AI agents used English to converse with each other but they later created a new language that only AI systems could understand, thus, defying their purpose. This led Facebook researchers to shut down the AI systems and then force them to speak to each other only in English.

On May 30, 2007, two of America's most brilliant minds, Steve Jobs and Bill Gates, sat down for a joint interview at the All Things Digital Conference. The two pioneers of the computer world spoke fondly of the other's contribution to technology. But what preceded this historic exchange was more than three decades of rocky collaborations and rivalry. Gates and Jobs had battled to dominate a new age and, in the process, revolutionised billions of lives. "Though they never worked in the same company, they created an industry together, and we have a hippie and a nerd ... With Bill, it was always about the money. With Steve ... money was nice, but it was never about the money. And so that made them black and white. They were very, very different people," says journalist Robert Cringely, who worked with Gates and Jobs in the late-1970s.

IBM announced that Oovvuu, an Australian technology start-up, has launched a Watson powered video-on-demand news platform to connect viewers to the most relevant video and news content, while generating vital new advertising revenues for global media and news organisations. As media organisations struggle to maintain advertising revenues, news and editorial teams are shrinking and the quality of journalism is being challenged. News organisations around the world are relinquishing advertising revenue to social platforms, with estimates that Facebook and Google represent 85 per cent of digital revenue and growing. Building new revenue streams are critical not only to the survival of media and news organisations but also their ability to maintain and deliver quality journalism. Oovvuu connects the world's best video content from 40 broadcast partners, such as ABC, BBC, and Bloomberg, with the most read-news articles using the power of IBM's Watson to match videos with breaking news.

Most superintelligent systems will by default develop instrumental subgoals that conflict with human interests. This could have catastrophic consequences. If we don't actively work on control mechanisms and safety of AI systems, this will most likely pose an existential risk to humanity. Artificial intelligence is all around us in many parts of every day life; our phones find the fastest way to move from A to B, spam is automatically filtered out of our email inboxes, and Netflix recommends movies and tv-shows tailored to our likings. For the near future, AI promises many changes of how we live: from self-driving cars to intelligent fridges. Obviously, there is a great interest in developing stronger, faster and more intelligent AI systems. Giant companies such as Alphabet (Google), Facebook, Apple, Microsoft, etc. have long realized how profitable and promising this field of research and development is. At the same time, governments have begun to invest in the military use of AI. Overall, there is a big hype around AI topics, especially when mentioning buzzwords such as deep learning.

I'd like to use an algorithm uController to replace the control unit of a system. The controller is a PI controller for a power system. The objective is to optimize the response. Can a deep learning algorithm do this?

Deep Mind has a strong focus on AI safety, but Demis is a much more humble guy than Elon so I don't see him coming out making any bold pronouncements, just quietly working to actually address whatever concerns he has.

I would like to use the Tensorflow's pretrained models on coco, but I can't find the image split they used for training and testing. According to their "Speed/accuracy trade-offs" paper - "Our networks are trained on the COCO dataset, using all training images as well as a subset of validation images, holding out 8000 examples for validation". Does anyone know which data they used for testing?

Real Questions About Artificial Intelligence in Education Tweet Share Email Don't doubt it: Machine learning is hot--and getting hotter. For the past two years, public interest in building complex algorithms that automatically "learn" and improve from their own operations, or experience (rather than explicit programming) has been growing. Call it "artificial intelligence," or (better) "machine learning." Such work has, in fact, been going on for decades. More recently, Shivon Zilis, an investor with Bloomberg Beta, has been building a landscape map of where machine learning is being applied across other industries.

It can be hard to predict which films will triumph at the box office and which will completely bomb. Just ask the people who made the recently released sci-fi thriller Valerian, which cost a shade under $200 million to make--and after one weekend, has made back just $23.5 million in total ticket sales. Perhaps in the future, forecasting audience enjoyment won't be such an inexact science. Disney and the California Institute of Technology have teamed up to build an artificial intelligence system that they say can measure moviegoers' facial reactions to determine just how much they're really liking a film. According to a paper published collaboratively by the two institutions last week and first spotted by Digital Trends, the team of researchers had test audiences watch Disney movies and used an infrared high-definition camera to capture their reactions.