A 56-percent rise in applications linked to artificial intelligence and the fourth industrial revolution, Industry 4.0, has been seen in three years at the European Patent Office (EPO), according to Turkish Patent and Trademark Office head Monday. The fourth industrial revolution, known as Industry 4.0, offers technology and digital-based working conditions, which may have negative effects on the workforce in the near future. The Industry 4.0 approach is the new production concept of the future and reflects the current trend of automation and data exchange in manufacturing technologies. Speaking at the Artificial Intelligence, Industry 4.0 and Intellectual Property Law Summit held in capital Ankara, Turkpatent President Habip Asan said: "There is a 56-percent rise in the applications about the artificial intelligence and Industry 4.0 in the recent three years to European Patent Office. "In 2016, at least 5,000 patent applications about the Industry 4.0 were made." He also said a record had been set in industrial property rights applications in 2017 in Turkey. "Patent applications rose nearly 35 percent.

Artificial intelligence, cloud computing, and the internet of things (IoT) will have bigger impacts on the revenues of chip makers in 2018, according to accounting firm KPMG's survey of 150 semiconductor industry leaders. Two-thirds of the leaders cited IoT as one of the top revenue drivers, up from 56 percent in last year's survey. Cloud computing and AI were each cited by 43 percent of leaders, compared to 27 percent last year for cloud and 18 percent for AI. Wireless communications was at the top of the list, but it was cited by fewer respondents this year. "The increasing demand for IoT, AI, and cloud applications is driven by their individual value and their value to each other. Cloud infrastructure is critical to enabling AI and capturing IoT-produced data. AI will enable better analysis and use of the data," said KPMG global semiconductor industry leader Lincoln Clark, in a statement.

Advanced Data Mining Projects with R takes you one step ahead in understanding the most complex data mining algorithms and implementing them in the popular R language. Follow up to our course Data Mining Projects in R, this course will teach you how to build your own recommendation engine. You will also implement dimensionality reduction and use it to build a real-world project. Going ahead, you will be introduced to the concept of neural networks and learn how to apply them for predictions, classifications, and forecasting. Finally, you will implement ggplot2, plotly and aspects of geomapping to create your own data visualization projects.By the end of this course, you will be well-versed with all the advanced data mining techniques and how to implement them using R, in any real-world scenario.

Despite the longest growth run in nearly three decades, Japan's economic outlook remains far from robust as uncertainty abounds over wage growth and business investment. Under Abenomics, Prime Minister Shinzo Abe's program of radical monetary easing, fiscal spending and vows of structural reforms, the economy grew at an annualized rate of 0.5 percent in the October-December period, marking the eighth straight quarter of expansion. It slowed from a revised 2.2 percent increase in the previous quarter and was below the potential growth rate of around 1.0 percent. Many economists expect the economy to keep growing at a moderate pace this year, but the biggest wild card could be volatility in financial markets after the recent global stock market rout. The key question now is whether domestic demand -- private consumption and corporate spending -- can pick up further and help the world's third-largest economy sustain its recent growth momentum, economists said.

Yahoo Japan says it's going to launch a business that uses its big data and artificial intelligence technologies to support other companies and local governments. Officials at Yahoo Japan say 5 other entities, including Kobe City and Nissan Motor, have joined the venture. A trial is already underway. Yahoo is using AI to analyze a mixture of its own big data and information from the 5 groups. Kobe is aiming to make its ambulance service more efficient.

BEIJING – China has started building the world's largest test site for unmanned ships -- a technology with both civilian and military applications -- off a port in the disputed South China Sea, state media has reported. The test area is being constructed off the southern port city of Zhuhai bordering Macau, China's official Xinhua News Agency said Tuesday. China asserts sovereignty over almost all the South China Sea despite competing partial claims from the Philippines, Vietnam, Malaysia and Brunei, and has reclaimed several islands which it controls to bolster its claims. Unmanned or "autonomous" ship technology, still in its infancy, would allow both civilian and military craft to be remotely controlled. It could revolutionize the shipping industry by creating more cargo space on unmanned ships, which would also save huge sums in labor costs.

Teleworking, a key part of the government's work-style reform initiative, is slowly evolving as a result of efforts to make up for difficulties in communication among colleagues. One such effort that is drawing attention is the use of avatar robots to smooth out communication between those clocking in from home and those at the office. A number of companies are trying to adopt various reforms under the initiative, and there is even one firm where all staff members work remotely. Nippon Telegraph and Telephone East Corp., a subsidiary of telecommunications giant Nippon Telegraph and Telephone Corp., began using robots called OriHime in April 2016 as part of its efforts to promote teleworking, a policy aimed at allowing employees to continue working while raising children or caring for aging parents. Using OriHime, remote workers can view their office and communicate with their colleagues.

Bangalore: Artificial Intelligence (AI), one of the most popular forms of Cognitive technologies has some what failed to make a big mark on enterprises and organisations when it comes to its implementation. Only four percent of CIOs have implemented AI according to Gartner's 2018 CIO Agenda Survey, while a further 46 percent of CIOs have developed some plans to do so. "Despite huge levels of interest in AI technologies, current implementations remain at quite low levels," said Whit Andrews, Research Vice President and Distinguished Analyst - Gartner. "However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts." As with most emerging or unfamiliar technologies, early adopters are facing many obstacles to the progress of AI in their organizations. Gartner analysts have identified the following four lessons that have emerged from these early AI projects.

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Artificial Intelligence and machine learning are marketed as security game-changers. You see them all the time on systems and services, promising to catch threats and strengthen defense. "One of the problems in our industry is people tend to throw around buzzwords in the hopes of differentiating their marketing," says Jon Oltsik, senior principal analyst at ESG. "But all it does it confuse the market." The two technologies have legitimate purpose and potential but are used so often and so interchangeably, it can be hard to make sense of them. Where should they be used?