Granville V., Rasson J.P. Multivariate discriminate analysis and maximum penalized likelihood.... Journal of the Royal Statistical Society, Series B, 57 (1995), 501-517.

Ask an upstream operator which area in the oil and gas patch they expect to have reliability problems and the answer will commonly come back "compressors." Compressors, used to increase the pressure of natural gas or air to improve flow, are the first on the list, said Ron Beck, industry marketing director for energy at Aspen Technology, an asset optimization software firm. But with no end to potential oilfield malfunctions, some oil and gas companies have turned to machine learning--a process in which software is used to search data, detect patterns and assess the likelihood of future failures. The software uses algorithms--a series of calculations and automated reasoning tasks--to help overcome potentially troublesome equipment. The digital shift is part of the oil and gas industry's acceptance of more efficient and cost-effective technologies to assist in extracting and producing oil and gas in a range-bound commodity-price environment.

An ordinary smart meter gives your local utility useful information about how much energy you are using--every hour, or even as often as every minute. This helps utility planners efficiently adjust electricity generation to meet demand or encourage reductions in demand when necessary. But machine learning systems, looking at that data, can tell something else about your home besides its energy use--they can tell if you are home, or if you are not. That's what University of California at Berkeley researchers Ming Jin, Ruoxi Jia, and Costas Spanos found out. That information, Jin says, is also useful for utilities--they can call or show up to perform necessary maintenance when you are home, and not waste personnel time trying to reach you.

A luxurious camper favoured by the super rich and celebrities comes packed with all of the comforts of home, and a price-tag to match. The extravagant EarthRoamer XV-LTS 2017 model starts at £337,000 ($438,000) and allows buyers to fully customise an interior that includes a refrigerator, memory foam bunk, and can sleep up to four people. Previous editions have been purchased by American singer-songwriter John Mayer and a number of other high-profile owners who cannot be named. A luxurious camper favoured by the super rich and celebrities comes packed with all of the comforts of home, and a price-tag to match. Adventurer and nature photographer Bill Swails started the company back in 1998 with the aim of producing a vehicle where the comforts of an RV can be experienced on almost any terrain.

The fourth wave in industry, known as Industry 4.0, is underway connecting the physical world to the digital. To bring these together, manufacturers are developing smarter, better-connected machines that use big data, machine-to-machine communication and machine-learning technology to optimise productivity. Digital twinning, the mapping of a physical asset to a digital platform, is one of the latest technologies to emerge from Industry 4.0. It uses data from sensors on the physical asset to analyse its efficiency, condition and real-time status. Up to 85 per cent of internet of things platforms will contain some form of this by 2020, according to Orbis Research.

In a picnic area at General Electric Co.'s Global Research Center, a group of scientists and engineers are working on a new industrial revolution that will involve robots, drones and artificial intelligence. GE has been developing robot and artificial intelligence technologies for many years now. But these researchers in Niskayuna are part of GE's latest effort to monetize that technology with the launch of Avitas Systems, a new GE-created company being incubated in Boston with help from scientists here in the Capital Region. Avitas is creating technologies that will be artificial intelligence, or AI, combined with robots and predictive data analytics and software to provide high-tech inspection services to energy and transportation companies. On Tuesday, a team supervised by John Lizzi, director of robotics at GE Global Research, and Judy Guzzo, a project leader, were performing drone testing on a simulated oil rig flare stack.

People could soon travel from London to Edinburgh in eight minutes, claims Hyper Chariot, a company that has announced its intention to build an extremely ambitious new transport system. It would be capable of reaching speeds of 4,000mph, and could also be emission-free and 100 per cent solar-powered, "thanks to the use of solar panels mounted on the outside of the tunnels", according to the company. It says it wants the network to be fully operational by 2040, and plans to unveil a working'proof of concept' demonstrator, called'The Velocitator', in 2021. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. 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.

Few user companies and organisations are putting artificial intelligence (AI) to work at significant scale, according to a McKinsey Global Institute (MGI) discussion paper. It shows AI adoption outside the technology sector to be exiguous and experimental, deployed commercially in only 12% of 160 use cases. Access this e-guide with 6 key articles on cloud security and learn how to protect your organisation and its data on the cloud. You forgot to provide an Email Address. This email address doesn't appear to be valid.

Industries such as healthcare, government service, IT and telecommunication, media and advertising, BFSI, retail, travel, tourism, and hospitality create a huge amount of data base which is difficult to maintain by the conventional computing system. However with the introduction of artificial intelligence in these industries processing and managing of database became much efficient and rapid. Manufacturing is one of the first industry to take advantage of emerging AI technology, especially in the manufacturing process where robots were used to assemble and package products. Moreover, with the advent of technology, advanced robots will be able to perform complex operation in the manufacturing process such as assembling and testing of smart homes, smart city, vehicles, and electronics. Healthcare is another industry largely impacted by the deployment of AI technology. In fact, AI in healthcare industry would be the key area of contribution towards the'Fourth Industry Revolution'.

Some 60 people from the police and Japan Coast Guard participated in the exercise at the Ikata nuclear power plant, which simulated a drone launched from a boat planting a makeshift explosive device on the premises of reactor 3. Officials of Shikoku Electric Power Co., which runs the plant, and members of the bomb disposal unit in the Ehime Prefectural Police also took part. "We took into account the serious situation regarding terrorism in conducting this drill, and I think it is important to prepare for the unpredictable," said Hideto Murase, the local security chief of the Ehime Prefectural Police. Reactor 3 was restarted last August after clearing safety requirements introduced after the March 2011 Fukushima nuclear crisis. The reactor runs on plutonium-uranium mixed oxide fuel, or MOX, which contains plutonium extracted by reprocessing spent fuel. Shikoku Electric plans to finish building by March 2020 a facility that is capable of withstanding major terror attacks, such as those involving intentional aircraft crashes, and preventing the release of radioactive materials.