Its surface, approximately 850 degrees Fahrenheit, is hot enough for paper to spontaneously combust. Its atmosphere, an oppressive mix of carbon dioxide, nitrogen, and sulfur dioxide, is dense enough to crush a submarine. "I like to think of Venus as turning your oven at home onto self cleaning mode, but also filling it with Easy Off," says Jason Derleth, head of NASA's Innovative Advanced Concepts Program (NIAC), a small slice of the agency that funds the exploration of forward-looking technologies. "That's still not as toxic as the chemical soup it has as its atmosphere. Earth's neighbor, while certainly inhospitable to humans, is almost just as rough for robots.

The CIRRIS XITM and the CIRRIS XRTM robots by ULC Robotics were developed to allow gas utilities to extend the life of large diameter cast iron pipeline infrastructure. But those pipelines are expensive to replace and difficult to manually repair, making them prime territory for robots.

Remember how just five years ago it seemed like 3D printing was going to take over the world? How it seemed like we'd have 3D-printed cars that we'd be parking in our 3D-printed houses? Things didn't seem to work out so much. But even while the hype died, companies have been steadily working on the technology. Two years after MX3D announced a plan to 3D print an entire steel bridge designed by Joris Laarman, the project really is going forward, with anticipated completion sometime next year.

Google is pivoting from being a mobile-first company to an AI-first company, declares Barney Pierce, Director, APAC Platforms and Display GTM for Google. He points to how Google is deploying artificial intelligence everywhere – in Gmail which now suggests replies, in its Photos app which helps you search, archive and even suggests which snaps can be junked, in Maps which is parsing local searches and has now significantly improved due to machine learning. But what he doesn't say is that perhaps the most lucrative deployment of AI for Google, which is expected to make $73.8 billion in net digital ad sales in 2017 according to eMarketer, is in its ad tech solutions. Pierce, who was speaking at Google's Think Platform event in Gurgaon, does describe how machine learning is virtually powering the digital advertising landscape, especially media buying which, thanks to the rise of programmatic, affords huge scope. AI, which Pierce describes as the science of making things smart, is not just greatly improving efficiency but also the relevance of ads.

Somewhat overshadowed in recent years by China's rise as a regional and global power, Japan still extends considerable influence as a world leader in various fields, including investment, policy management and trade, according to experts who gathered at a Tokyo conference earlier this week. But at the same time, Japan lags behind other countries in incorporating into everyday life technological innovations, such as artificial intelligence and financial technology to improve efficiency, they said. "We want to talk about Japan as a role model, not Japan following, not Japan copying, but Japan actually and constructively led by the young generation," said Jesper Koll, who heads Wisdom Tree Japan KK, a Tokyo-based exchange-traded fund sponsor, in the opening session of the annual G1 Global Conference organized at Globis University on Sunday. Experts shared insights in a session titled "Can Japan be a Role Model for Global Economic Prosperity and Stability?" Hiromichi Mizuno, chief investment officer at Government Pension Investment Fund said the country can show leadership in the field of investment by educating on responsible investment, a concept that gained traction after the fall of Lehman Brothers in 2008 that triggered the global financial crisis, exemplifying the long-term failure of a capitalism that emphasizes the single-minded pursuit of short-term corporate profits.

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

Data Mining is the computational process of discovering patterns in large data sets involving methods using the artificial intelligence, machine learning, statistical analysis, and database systems with the goal to extract information from a data set and transform it into an understandable structure for further use. Jubatus, MiningMart, Databionic ESOM, Apache Mahout, TraMineR, ROSETTA, KEEL, ADaM, ML-Flex, Modular toolkit for Data Processing, Dataiku, SenticNet API, LIBSVM and LIBLINEAR, Lattice Miner, Gnome datamine tools, yooreeka, AstroML, jHepWork, ARMiner, and arules are some of the top free data mining software. Orange is an open source data visualization and analysis tool. Orange is developed at the Bioinformatics Laboratory at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia, along with open source community. Data mining is done through visual programming or Python scripting.

The term "industrial Internet of Things" has a more muted-sounding promise of driving operational efficiencies through automation, connectivity and analytics. But the focus of IIoT -- on industry at large -- is broader. Here, we take a comprehensive view, rounding up 20 IIoT leaders and pioneers, drawing on the feedback from industry analysts and consultants. The focus here is not on vendors offering, say, a cloud-based platform for monitoring industrial machines but on the companies that themselves are using IIoT technology to drive their business forward. For the sake of this feature, we focus on organizations that use connected technology in tandem with cloud-based analytics to drive efficiencies and launch new business models.

What's the next $300 billion industry to be disrupted by technology? For background, engineered wood is the technical name for any wood product (like particle board) that is created by bonding wood chips into different shapes using an adhesive. It's much cheaper than using a solid piece of wood, and can be used to make anything from an Ikea desk to kitchen countertops. Materialize.X, launching today at TechCrunch Disrupt SF 2017, has two new products that it thinks will revolutionize the $300 billion a year engineered wood market. A lot of engineered wood is created using an adhesive called urea-formaldehyde, which has recently been labeled by the FDA as a toxic carcinogen.

You'd think computers spend most of their time and energy doing, well, computation. But that's not the case: about 90 percent of a computer's execution time and electrical energy is spent transferring data between the processor and the memory banks, says Subhasish Mitra, a computer scientist at Stanford University. Even if Moore's law continued on indefinitely, computers would still be limited by this memory bottleneck. This week in the journal Nature, Mitra and collaborators describe a new computer architecture they say addresses this problem--and that Mitra believes will improve both the energy efficiency and speed of computers by a factor of 1000. The new 3D architecture is based on novel devices including 2 million carbon nanotube transistors and over 1 million resistive RAM cells, all built on top of a layer of silicon using existing fabrication methods and connected by densely packed metal wiring between the layers. As a demonstration, the team built an electronic nose that can sense and identify several common vapors including lemon juice, rubbing alcohol, vodka, wine, and beer.