A quick, hassle-free way to stay on top of robotics news, our robotics digest is released on the first Monday of every month. Sign up to get it in your inbox. March is a month for change and new beginnings. The new UK Budget promised hundreds of millions of pounds to scientists and researchers to develop solutions to hi-tech challenges, including artificial intelligence and robotics, next generation batteries and new techniques for manufacturing medicines. The government is expected to allocate more than £500 million from the National Productivity Investment Fund so that UK companies might lead the way in the new technologies set to transform the world.

Toyota Motor Corp. is betting the keys to longer-range electric cars and cheaper fuel cells may lie in machines that act like humans. The Japanese carmaker's Toyota Research Institute is pledging $35 million over the next four years toward putting artificial intelligence to work on identifying new materials that can be used in batteries or catalysts that power hydrogen-fueled cars. Using AI and machine learning will expedite development by a magnitude of years, according to the company. "We want to accelerate the rate at which we can design or discover new materials for fuel cells and batteries," Eric Krotkov, chief operating officer of TRI, said in a phone interview. Faster discoveries of advanced materials will support Toyota's broader goal of ridding 90 percent of carbon emissions from its vehicles by 2050.

Last month, High's company unveiled Project Intu, an experimental platform that allows developers the ability to build internet of things devices using its artificial intelligence services, like Conversation, Language and Visual Recognition. Someday, the system promises to let programmers create a staple character of sci-fi: the gregarious, hyper-connected AI like J.A.R.V.I.S. of Iron Man, KITT of Knight Rider, or Star Wars' C3PO. High isn't talking about a robot that's conscious or sentient, with genuine feelings, but rather a "cognitive" AI that can analyze the mood and personality of a user and adjust how it expresses itself--in text, voice, online avatars, and physical robots. The result, he says, could transform industries like retail, elder care, and industrial and social robotics. At IBM's 2016 Watson Developer Conference in San Francisco last month, Australian oil- and gas-drilling company Woodside showed an onscreen question-answering AI built with Project Intu.

Manufacturing companies have traditionally been slow to react to the advent of digital technologies like intelligent robots, drones, sensor technology,artificial intelligence, nanotechnology & 3d Printing. Industry 4.0 has changed manufacturing. At a high-level, Industry 4.0 represents the vision of the interconnected factory where all equipment is online, and in some way, is also intelligent and capable of making its own decisions. The explosion in connected devices and platforms, abundance of data from field devices and rapidly changing technology landscape has made it imperative for companies to quickly adapt their products and services and move from physical world to a digital world. Today, Manufacturing is transforming from mass production to the one characterized by mass customization.

Arithmetically, the problem is a combination of collapsing productivity and insufficient capital investment. On February 19, 2017, the New York Times ran a feature story on recent changes in the United States oil industry.2 The focus was on the recent "embrace" of technological innovation in the industry after the 2014 plunge in the global oil market. This was just one of a rash of such pieces in the popular press, relying, as is typical of such writing, on a smattering of skewed, decontextualized data, a healthy serving of the anecdotal, and a host of the worst tech journalism clichés ("a few icons on a computer screen," "a click of the mouse," video game marathons as job training, a compulsory reference to drones). Zeroing in on the effects of these changes on workers in west Texas, the article's upshot is unobjectionable enough: as oil prices recover, output rises, and production becomes more capital-intensive, many workers who lost jobs in the downturn will be replaced by machines. These workers, often Latino, are sure to be forced out of these semi-skilled, relatively well-paid jobs into other sectors of the labor market, where their skills and experience will serve little purpose. At first blush, the situation seems dire. We are told that some 30% of jobs in the industry were lost after the oil market crash of mid-2014, when employment in the industry was at its peak.

Seen from a drone's eye view, the enormous earthmoving trucks, buses and tractors criss-crossing this corner of Somerset look like toy town models. The vehicles are dwarfed by their surroundings at Hinkley Point, where new footage has revealed the full scale of the site being prepared for Britain's first new nuclear power station in a generation.

In the 2009 blockbuster'Avatar,' a human remotely controls the body of an alien, by injecting human intelligence into a biological body. While this still remains in the realm of science fiction, researchers have managed to create a similar system that allows humans to remotely control turtles. The incredible system, which is operated via a device on the turtle's shell, can'read' and use human thought to control the animal's movement. A'cyborg system' which consists of a camera, a Wi-Fi transceiver, a computer control module and a battery is mounted on the turtle's shell. Also included on the turtle's shell is a black semi-cylinder with a slit, which forms the'stimulation device'.

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.

SAN FRANCISCO – Toyota Motor Corp. is betting the keys to longer-range electric cars and cheaper fuel cells may lie in machines that act like humans. The carmaker's Toyota Research Institute is pledging $35 million over the next four years toward putting artificial intelligence to work on identifying new materials that can be used in batteries or catalysts that power hydrogen-fueled cars. Using AI and machine learning will expedite development by a magnitude of years, according to the company. "We want to accelerate the rate at which we can design or discover new materials for fuel cells and batteries," Eric Krotkov, chief operating officer of TRI, said in a phone interview. Faster discoveries of advanced materials will support Toyota's broader goal of ridding 90 percent of carbon emissions from its vehicles by 2050.

AI applications have been deployed and used for industrial, government, and consumer purposes for many years. The experiences have been documented in IAAI conference proceedings since 1989. Over the years, the breadth of applications has expanded many times over and AI systems have become more commonplace. Indeed, AI has recently become a focal point in the industrial and consumer consciousness. This article focuses on changes in the world of computing over the last three decades that made building AI applications more feasible. We then examine lessons learned during this time and distill these lessons into succinct advice for future application builders.