At Facebook's F8 conference in Silicon Valley, David Marcus, the company's head of messaging, proudly demonstrated its new suite of chatbots. Users can now get in a conversation with the likes of CNN, H&M, and HP, and ask for help shopping, or the latest headlines. The chatbots aren't very good, but that doesn't mean Facebook isn't proud of them anyway: "I guarantee you're going to spend way more money than you want on this," Marcus chuckled on stage. But even though Facebook might want to sell itself as the pioneer of chatbots, the real leaders in the field aren't working in the AI research teams of silicon valley; they're collaborating at events like last week's BotSummit in the V&A, or this weekend's Art of Bots exhibition in Somerset House. Move over chatbots: it's time to meet the artbots. BotSummit, now in its fourth year but held outside the US for the first time, is the creation of internet artist Darius Kazemi, whose medium he describes as "bots and generators and other weird internet stuff".

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The "Artificial Intelligence Market" report provides analysis of the global artificial intelligence market for the period 2014–2024, wherein the years from 2016 to 2024 is the forecast period and 2015 is considered as the base year. The report precisely covers all the major trends and technologies playing a major role in the artificial intelligence market's growth over the forecast period. It also highlights the drivers, restraints, and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the market's growth in terms of revenue (in US Bn), across different geographies, which includes Asia Pacific (APAC), Latin America (LATAM), North America, Europe, and Middle East & Africa (MEA). Moreover, the report provides the overview of various strategies and the winning imperatives of the key players in the artificial intelligence market and analyzes their behavior in the prevailing market dynamics.

Demis Hassabis has a modest demeanour and an unassuming countenance, but he is deadly serious when he tells me he is on a mission to "solve intelligence, and then use that to solve everything else". Coming from almost anyone else, the statement would be laughable; from him, not so much. Hassabis is the 39-year-old former chess master and video-games designer whose artificial intelligence research start-up, DeepMind, was bought by Google in 2014 for a reported 625 million. He is the son of immigrants, attended a state comprehensive in Finchley and holds degrees from Cambridge and UCL in computer science and cognitive neuroscience. A "visionary" manager, according to those who work with him, Hassabis also reckons he has found a way to "make science research efficient" and says he is leading an "Apollo programme for the 21st century". He's the sort of normal-looking bloke you wouldn't look twice at on the street, but Tim Berners-Lee once described him to me as one of the smartest human beings on the planet. Artificial intelligence is already all around us, of course, every time we interrogate Siri or get a recommendation on Android. And in the short term, Google products will surely benefit from Hassabis's research, even if improvements in personalisation, search, YouTube, and speech and facial recognition are not presented as "AI" as such. "It's just stuff that works.") In the longer term, though, the technology he is developing is about more than emotional robots and smarter phones.

The MSLGROUP goes to SXSW every year with digital specialists from all over the world – Germany, France, India, Singapore, Brazil, the US, etc. – to network, witness new trends, collaborate and share ideas. MSL Germany's Adrian Rosenthal, Head of Digital & Social Media, and Heiko Geibig, Head of Consumer Practice, joined the world's biggest conference on digital technologies this year. They had a closer look at the communication trends and give an overview about the meta trends of the SXSW 2016: 1. Virtual Reality 2. Social Messaging 3. Robotics & Artificial Intelligence Get in touch with us for any further inquiries: Adrian Rosenthal – Head of Digital & Social Media 030 820 82-522 adrian.rosenthal@mslgroup.com Heiko Geibig – Head of Consumer Practice 030 820 82-579 heiko.geibig@mslgroup.com

The government plans to propose basic rules for the research and development of artificial intelligence at a Group of Seven meeting of ministers in charge of information and communication technology later this month, sources said Friday. The envisioned proposal is expected to seek the establishment of eight principles, including the importance of respecting human dignity and protecting privacy when developing computer science that gives machines humanlike intelligence. Internal Affairs and Communications Minister Sanae Takaichi is expected to present the eight principles at the two-day G-7 meeting starting on April 29 in Takamatsu, Kagawa Prefecture, and call for deeper discussions involving international organizations such as the OECD. Artificial intelligence has advanced to the point where Google's AI program AlphaGo was recently able to defeat a Go grandmaster for the first time. AI technologies are expected to generate an economic return of around 121 trillion in Japan by 2045, according to an estimate that the government plans to present to the G-7 meeting.

In this post you will discover the k-Nearest Neighbors (KNN) algorithm for classification and regression. After reading this post you will know. This post was written for developers and assumes no background in statistics or mathematics. The focus is on how the algorithm works and how to use it for predictive modeling problems. If you have any questions, leave a comment and I will do my best to answer.

Ensembles of randomized decision trees are widely used for classification and regression tasks in machine learning and statistics. They achieve competitive predictive performance and are computationally efficient to train (batch setting) and test, making them excellent candidates for real world prediction tasks. However, the most popular variants (such as Breiman's random forest and extremely randomized trees) work only in the batch setting and cannot handle streaming data easily. In this talk, I will present Mondrian Forests, where random decision trees are generated from a Bayesian nonparametric model called a Mondrian process (Roy and Teh, 2009). Making use of the remarkable consistency properties of the Mondrian process, we develop a variant of extremely randomized trees that can be constructed in an incremental fashion efficiently, thus making their use on streaming data simple and efficient.

Chatbots are on the rise, but what are they and why is everyone talking about (and to) them? Facebook has just rolled out support for bots on its Messenger platform. Meanwhile, Microsoft has described chatbots as the "new apps" with chief executive Satya Nadella saying that they "unlock conversation as a platform". The BBC "created" its own one-off chatbot to answer some of the burning questions you may have about this latest technology. What can I help you with Jane?

As well as his new upcoming book "The Economic Singularity" that Calum is nice enough to be sharing a review copy of. So what is "Singularity" you ask? Well there are many types Wikipedia puts it this way... Because the capabilities of such a superintelligencemay be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence. "I don't like the term'singularity' when applied to technology. A singularity is a state where physical laws no longer apply because some value or metric goes to infinity, such as the curvature of space-time at the center of a black hole. No one can predict what happens at a singularity."