Over the next decade, mobile, the Internet of Things, machine learning, robotics, and blockchain technologies will change a great deal about how the oil and gas industry works. Five technologies will change the oil and gas industry: mobile will speed oilfield transactions, increase efficiency, and improve safety by removing people from harm's way; the Internet of Things (IoT) will reduce the cost of repairs; machine learning will provide ever more optimal solutions to field challenges; robotics will upend the question of who does the work, and blockchain will make contracting faster and smoother than ever before. Adopting these technologies will be a challenge for many in our industry, requiring a change in mind-set. Engineers tend to focus less on investing for the future than on fixing what's broken now, as do companies trying to maximize their return on investment. But investments in these transformative technologies now will mean less to fix in the future, and more time to innovate, operate, and develop resources as fully as possible--which is what we're all trying to do, correct?

US tech giants like Facebook, Google, Amazon, and Microsoft are investing hundreds of millions of dollars into artificial intelligence as they look to make their platforms and personal assistants that it smarter. Part of this effort involves finding and hiring the brightest minds in the world. But with so many large companies involved in the so-called "AI race" it's not always easy to recruit the best talent. Yann LeCun, the director of Facebook AI Research and one of the world's most prominent AI academics, told Business Insider last week that he employs certain tactics to get people to come and work for him. "There's various things ... but a lot of it is nurturing relationships with academic laboratories that have a track record of producing interesting students," said LeCun, who is also a professor at New York University.

There are many deep learning resources freely available online, but it can be confusing knowing where to begin. Go from vague understanding of deep neural networks to knowledgeable practitioner in 7 steps! Deep learning is a branch of machine learning, employing numerous similar, yet distinct, deep neural network architectures to solve various problems in natural language processing, computer vision, and bioinformatics, among other fields. Deep learning has experienced a tremendous recent research resurgence, and has been shown to deliver state of the art results in numerous applications. In essence, deep learning is the implementation of neural networks with more than a single hidden layer of neurons.

Honda Motor Co. will spearhead its artificial intelligence efforts out of a new lab in Tokyo so that researchers can work closely with its engineers to commercialize the technology. Honda, based in Tokyo, will start the r&d center next year and combine existing AI teams in Silicon Valley, Europe and Japan at the downtown location, according to Yoshiyuki Matsumoto, president of the automaker's largely independent research arm. In choosing Tokyo over Silicon Valley, the carmaker is betting closer interaction between its scientists and developers will lead to AI-enabled products consumers want, he said in an interview. Advances in artificial intelligence are sprouting like "bamboo shoots after rain," so it's time to find commercial uses for the technology by marrying research with Japan's traditional strength in hardware, Matsumoto said. "We won't make much difference if we did the same things as everyone else in Silicon Valley. And not everyone has succeeded there."

GPU's Role in Artificial Intelligence Advances Featured at Conference By Wayne Rash Posted 2016-10-26 Print NEWS ANALYSIS: The confluence of big data, massively powerful computing resources and advanced algorithms is bringing new artificial intelligence capabilities to scientific research. WASHINGTON, D.C.--Massively parallel supercomputing hardware and advanced artificial intelligence algorithms are being harnessed to deliver powerful new research tools in science and medicine, according to Dr. France A. Córdova, director of the National Science Foundation. Córdova spoke Oct. 26 at the GPU Technology Conference organized by Nvidia, a company that got its start making video cards for PCs and gaming systems and now manufactures advanced graphics processors for high-performance servers and supercomputers. Córdova, who is directing long-term research in AI at the NSF, said the research there is being used already in the Cancer Moonshot project currently spearheaded by Vice President Joe Biden, whose son Beau Biden died of brain cancer in 2015 at the age of 46. The Cancer Moonshot is a major effort to focus resources and funding on the fight to cure cancer on a scale similar to the original mission by NASA to land on the moon.

In the wake of the massive DDoS attack that brought down huge swaths of the internet last week, strengthening cybersecurity is on everyone's minds. It's tough to devise systems that are truly secure, because as security evolves, so do the people trying to hack those systems. But a new experiment from Google showed a possible way forward using artificial intelligence. Google created an encryption game using three distinct entities--Alice, Eve, and Bob--created by deep learning neural networks. Alice sent thousands of 16 character strings of zeros and ones to Bob, encrypting them with a shared key. Eve sat in the middle, trying to decrypt the messages.

Fueled by the exponential growth in mobile messaging, chatbots -- interactive messaging bots that harness recent advances in artificial intelligence and machine learning -- are the hottest new technology going right now. Facebook opened up its Messenger platform to bot developers earlier this year; messaging app Telegram is offering developers up to $1 million in prizes to develop bots that are fast, useful, and work in inline mode; and over 20 million people chat with the Xiaoice bot on the Chinese micro-blogging service Weibo. Even the White House has gotten into the act with its Obama Facebook chatbot. Chatbot technology is still in its infancy, but it's quickly being embraced by businesses because of its vast potential for sales, marketing, and customer service. Chatbots stand to help organizations build deeper relationships with their customers and improve service quality, while at the same time save money by automating certain administrative tasks.

Just in Time for Halloween, We Now Have an A.I. Program for Making Celebrities Look Absolutely ... AI vs. BI: How do you sell artificial intelligence to the business? Could AI Soon Decide Who Gets A Bank Loan? Today's Artificial Intelligence Does Not Justify Basic Income Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

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JAPANESE carmaker Honda Motor Co. has chosen to headquarter its artificial intelligence (AI) research hub in Tokyo, saying its own home ground will enable closer interactions between scientists and researchers compared to Silicon Valley. According to Bloomberg, the research and development (R&D) center will launch in 2017 and will consolidate all the company's current AI teams from Silicon Valley, Europe, and Japan in Tokyo. Yoshiyuki Matsumoto, president of Honda's research arm, said in an interview that the carmakers chose Tokyo due to saturation in the San Francisco Bay Area, which is home to thousands of tech companies and startups. Honda chooses Tokyo over Silicon Valley for AI research centre – THE BUSINESS TIMES https://t.co/r25wCfNHKy Matsumoto was quoted saying: "We won't make much difference if we did the same things as everyone else in Silicon Valley. And not everyone has succeeded there."