Signals are generally modeled as a superposition of exponential functions in spectroscopy of chemistry, biology and medical imaging. For fast data acquisition or other inevitable reasons, however, only a small amount of samples may be acquired and thus how to recover the full signal becomes an active research topic. But existing approaches can not efficiently recover $N$-dimensional exponential signals with $N\geq 3$. In this paper, we study the problem of recovering N-dimensional (particularly $N\geq 3$) exponential signals from partial observations, and formulate this problem as a low-rank tensor completion problem with exponential factor vectors. The full signal is reconstructed by simultaneously exploiting the CANDECOMP/PARAFAC structure and the exponential structure of the associated factor vectors. The latter is promoted by minimizing an objective function involving the nuclear norm of Hankel matrices. Experimental results on simulated and real magnetic resonance spectroscopy data show that the proposed approach can successfully recover full signals from very limited samples and is robust to the estimated tensor rank.

The Japanese government Friday eased evacuation orders for towns not seriously contaminated by the 2011 Fukushima Daiichi nuclear power plant disaster. The government lifted evacuation orders for parts of Kawamata, Namie and Iitate, Kyodo News reported. The order also frees a large part of Tomioka on Saturday. The action reduces the evacuation zones by two-thirds but it was unclear whether residents actually would return to their homes because of radiation fears and a lack of amenities like schools. The most seriously contaminated areas remain off-limits.

Toyota has turned to artificial intelligence for help in the hunt for new advanced battery materials and fuel cell catalysts. The Toyota Research Institute (TRI) is investing $35 million into the project and is teaming up with various institutions and companies, including MIT and Stanford University. By using artificial intelligence techniques, such as machine learning, the researchers can reduce the time it takes to conjure up new materials it wants to use for future zero-emission and carbon-neutral vehicles. "Toyota recognizes that artificial intelligence is a vital basic technology that can be leveraged across a range of industries, and we are proud to use it to expand the boundaries of materials science. Accelerating the pace of materials discovery will help lay the groundwork for the future of clean energy and bring us even closer to achieving Toyota's vision of reducing global average new-vehicle CO2 emissions by 90 percent by 2050."

Initial research projects include collaborations with Stanford University, the Massachusetts Institute of Technology, the University of Michigan, the University at Buffalo, the University of Connecticut, and the U.K.-based materials science company Ilika. TRI is also in ongoing discussions with additional research partners. "This represents a fantastic opportunity to drastically advance the use of databases and machine learning methods in materials discovery," said Jens Norskov, Professor at Stanford University and director of the SUNCAT center. "The partnership combines theory, computation and experiment in an unprecedented, concerted effort. We are particularly excited by prospects for an avant-garde approach to catalyst development for fuel cells."

Few places evoke the rise and fall of Japan's industrial might than the head office of the Imperial Steel Works in Kitakyushu. The red brick Meiji Era building was the heart of the nation's first big steelworks. Kitakyushu, with nearly a million people, embodies the struggle of Japan's cities to adapt to a future where citizens are older, workers are fewer and many houses are emptying. The emblems of government efforts to revitalize the economy -- a billion-dollar airport, a robotics factory -- stand beside the empty lots, an idle blast furnace and shuttered shops. Five hours west of Tokyo by shinkansen, Kitakyushu lost over 15,000 people in the five years to 2015, more than any other city in the country apart from those evacuated because of the Fukushima nuclear disaster.

A Dutch startup is set to release a fleet of'drones' to combat the 220 million pounds of dog droppings left on the Netherlands' streets each year. Called Dogdrones, the vehicles will work together as a team to detect and scoop up the poop. The aerial drone is fitted with cameras and thermal energy technology that transmits GPS coordinates of the feces to a rolling robot on the ground that immediately leaves its hub to clean up the waste. A Dutch startup is set release a fleet of'drones' to combat the 220 million pounds of dog droppings left on the Netherlands's streets each year. Watchdog 1, uses a camera and thermal imaging to scan the environment for canine waste. The thermal imaging will then crate a heat map showing the location, which is translated into GPS coordinates and sent to Patroldog 1 – the ground robot.

Tokyo Electric Power Company Holdings Inc. and map publisher Zenrin Co. said Wednesday they will collaborate to develop safe flight routes for drones. Under the "drone highway" initiative, Tepco will offer information on its power grid network, such as locations of transmission towers, power poles and electric cables, for mapping on Zenrin's three-dimensional map database to create flight-support infrastructure for guiding drones. "Drone ports" to charge drones will also be set up. The two companies aim to launch the drone flight aid service in fiscal 2019, after conducting tests. A Tepco official said other power companies, telecommunication carriers and railways will be asked to join the drone highway initiative.

If the human race has any hope of meeting the challenge of climate change, it will need to think its way out of the conundrum it has wrought. People need meaningful work to do. Business owners need profits to stay in business. Commerce takes energy -- lots of it -- to keep chugging ahead. But work and commerce generate effluent that poisons the land, the air, and the seas.

Samsung seems to be playing it safe with its first major smartphone since the embarrassing recall of its fire-prone Note 7. The Galaxy S8 features a larger display than its predecessor, the Galaxy S7, and sports a voice assistant intended to rival Siri and Google Assistant. But there is no increase in battery capacity, providing the battery more breathing room. The Note 7 pushed the engineering envelope with its battery, which contributed to a series of spontaneous smartphone combustions. The Galaxy S8 will come in two sizes, both bigger than last year's models. Both models have screens that curve around the edges and get rid of the physical home button. The Note 7 recall cost Samsung at least $5.3 billion.

The global energy industry is facing disruption as it transitions from fossils to renewables (and occasionally back again). Its challenges include balancing growing demand in developing nations with the need for sustainability, and predicting the effect of extreme weather conditions on supply and demand. Against this backdrop, GE Power - whose turbines and generators supply 30 per cent of the world's electricity - has been working on applying Big Data, machine learning and Internet of Things (IoT) technology to build an "internet of power" to replace the linear, one-way traditional model of energy delivery. Ganesh Bell – first and current Chief Digital Officer at GE Power, tells me "The biggest opportunity is that, if you think about it, the electricity industry is still following a one-hundred-year-old model which our founder, Edison, helped to proliferate. "It's the generation of electrons in one source which are then transmitted in a one-way linear model.