Germany and Japan, March 8, 2017 --- Deutsches Forschungszentrum für Künstliche Intelligenz (German Research Center for Artificial Intelligence, 'DFKI') and Hitachi, Ltd. (Hitachi) today announced the joint development of AI (artificial intelligence) technology for human activity recongnition of workers using wearable devices. The AI technology performs real-time recognition of workers' activities by integrating technology in eye-tracking glasses*1to recognize gazed objects with technology in armband devices to recognize action. The recognition ability of each activity is achieved by having the AI understand the tools or parts used at the production site as well as anticipated actions through Deep Learning*2. DFKI and Hitachi will use this newly developed AI technology to assist operations and prevent human error, to contribute to enhancing quality and efficiency on the front line of manufacturing. In line with initiatives such as Industry 4.0*3in Germany and Society 5.0*4in Japan, the manufacturing industry is accelerating steps towards innovating production using AI and robotics, and the automation of menial tasks.

We saw a transition in the financial ecosystem from the Keynesian "animal spirits" of desk traders and investors to "microbe spirits" by computer algorithms simpler than animals or humans -- but just much, much, much faster. To understand these new phenomena we need a complexity approach. Econophysicists and financial gurus in complexity are no more in the fringe. What our work suggests is that since this war is already under way, and because from our paper it seems to correlate very well with observable crashes in the markets over timescales such as months, then any government watchdog/regulator charged with controlling their financial system also ought to have its own'troops on the ground'.» Not that this is wrong, but you can see that this level of competition would be very ferocious -- which is what happens in the markets.»

Want to know where all the wind and solar power supplies in the US are for some brilliant renewable-energy project? Or plot a round-the-world trip hitting every major soccer stadium along the way? It should be possible with a new tool that lets anyone scan the globe through AI "eyes" to instantly find satellite images of matching objects. Descartes Labs, a New Mexico startup that provides AI-driven analysis of satellite images to governments, academics and industry, on Tuesday released a public demo of its GeoVisual Search, a new type of search engine that combines satellite images of Earth with machine learning on a massive scale. The idea behind GeoVisual is pretty simple.

Here and there, a few people press buttons, turn wrenches, operate handheld scanners, and fold boxes. If the Cambridge Industries Group factory in Shanghai, China seems a little empty, it's on purpose. With robots handling two thirds of the labor, the facility is one of the most automated--thus, worker-free--in the global electronics industry. This factory's on track to become 90 percent automated in coming years. As soon as the technology is available, it will be 100 percent automated, with machines totally replacing human beings. CIG's Shanghai plant offers a preview of a future many government officials and everyday people fear--and which economists warn is increasingly likely as industrial robots rapidly get better and cheaper.

This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an applied branch of Lattice Theory, a mathematical discipline which enables formalisation of concepts as basic units of human thinking and analysing data in the object-attribute form. Originated in early 80s, during the last three decades, it became a popular human-centred tool for knowledge representation and data analysis with numerous applications. Since the tutorial was specially prepared for RuS-SIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery, Text Mining and several others.

Discrimination discovery from data is an important task aiming at identifying patterns of illegal and unethical discriminatory activities against protected-by-law groups, e.g., ethnic minorities. While any legally-valid proof of discrimination requires evidence of causality, the state-of-the-art methods are essentially correlation-based, albeit, as it is well known, correlation does not imply causation. In this paper we take a principled causal approach to the data mining problem of discrimination detection in databases. Following Suppes' probabilistic causation theory, we define a method to extract, from a dataset of historical decision records, the causal structures existing among the attributes in the data. The result is a type of constrained Bayesian network, which we dub Suppes-Bayes Causal Network (SBCN). Next, we develop a toolkit of methods based on random walks on top of the SBCN, addressing different anti-discrimination legal concepts, such as direct and indirect discrimination, group and individual discrimination, genuine requirement, and favoritism. Our experiments on real-world datasets confirm the inferential power of our approach in all these different tasks.

LoopMe, a digital advertising firm that uses artificial intelligence (AI) to optimize mobile video advertising, has raised $10 million in a funding round led by Impulse VC and Harbert European Growth Capital, with participation from Holzbrinck Ventures and Open Ocean Capital. Founded out of London in 2012, LoopMe unifies all the popular mobile video ad formats, covering pre-roll, HTML5, and the VAST ad-serving standard. In a nutshell, the platform replaces humans with algorithms that determine the placement of ads in real time, based on metrics such as purchase intent or offline sales. The technology "learns" how viewers are reacting to the ads and changes them based on how a user is responding. The company's platform has been used by a host of well-known brands, including Microsoft, Disney, Airbnb, and Honda.

WikiLeaks has released a huge set of files that it calls "Year Zero" and which mark the biggest exposure of CIA spying secrets ever. The massive set of documents – over 8,000 pages in all – include a host of hacking secrets that could embarrass intelligence agencies and the US government, as well as undermining spying efforts across the world. Here are six of the biggest secrets and pieces of information yet to emerge from the huge dump. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Living things: They're most inspiring, but also difficult things to try to replicate in robotics. With that aim, researchers in Japan have managed to design a tiny robotic system that moves like a living cell. The scientists described the robot last week in the journal Science Robotics. The system, called a molecular robot, is about the size and consistency of an amoeba. It is a fluid-filled sac containing only biological and chemical components--about 27 of them, says Shin-ichiro Nomura, a bioengineer at Tohoku University in Sendai, Japan and one of the robot's inventors.

WikiLeaks has alleged that the CIA looked into vehicle interference methods that could potentially enable it to assassinate people without detection. It hasn't included any more details about the alleged practice. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for ...