Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
As we continue to move forward in digital transformation, an increasing number of companies are discovering the promise of robotic process automation (RPA). In a nutshell, RPA allows companies to gain efficiencies and (hopefully) save money by automating routine tasks. RPA is what I'd call the low-hanging fruit of artificial intelligence. It's governed by structured input. Its processes are mundane and rule-based.
One of China's newest autonomous vehicle makers, Neolix, recently put self-driving microvans into action as it looks to scale up its solution to the country's logistics puzzle made more complex by a surge in online shopping. The Beijing-based startup, barely a year old, has already deployed the vehicles in the capital and other cities, but it faces stiff competition from a crowded field where other players, especially e-commerce groups, are racing to develop similar robovans. "Operating 10,000 units will be an industry milestone and it is crucial [for us] to achieve it," said Yu Enyuan, 45, Neolix's founder and chief executive. Neolix's ambition is to replace the roughly 40 million vehicles providing so-called last-mile logistics in China, a market projected to be 3 trillion yuan ($428 billion). These home deliveries are now handled mainly by two- and three-wheel electric motorbikes, zigzagging through neighborhoods to carry everything from milk tea to mattresses.
Artificial intelligence has become a buzzword and is increasingly overused, designating even low-level automation. This leads to misinterpretation of its capabilities. It is worth making a distinction between real AI and robotic process automation (RPA). To put it simply, it's the difference between a thinker and a doer. RPA follows strict rules and executes flawlessly repetitive operations, much like a good clerk.
As a child of refugees, my parents' narrative is missing huge gaps of information. In our data rich world, archivists are finally piecing together new clues of history using unmanned systems to reopen cold cases. The Nazis were masters in using technology to mechanize killing and erasing all evidence of their crime. Nowhere is this more apparent than in Treblinka, Poland. The death camp exterminated close to 900,000 Jews over a 15-month period before a revolt led to its dismantlement in 1943.
A team at the US National Renewable Energy Laboratory (NREL) is working on autonomous energy grid (AEG) technology to ensure the electricity grid of the future can manage a growing base of intelligent energy devices, variable renewable energy, and advanced controls. "The future grid will be much more distributed too complex to control with today's techniques and technologies," said Benjamin Kroposki, director of NREL's Power Systems Engineering Center. "We need a path to get there--to reach the potential of all these new technologies integrating into the power system." The AEG effort envisions a self-driving power system - a very "aware" network of technologies and distributed controls that work together to efficiently match bi-directional energy supply to energy demand. This is a hard pivot from today's system, in which centralized control is used to manage one-way electricity flows to consumers along power lines that spoke out from central generators.
Doosan cobots have a track record in several markets worldwide including Germany, France and China, with capabilities such as a working radius of 900 to 1,700 millimetres and a load capacity of 6 to 15 kilograms. The company gave a demonstration of six cobots collaborating with two human workers to execute fine motor activities on an auto assembly line. The six cobots conducted nine different applications such as inspection, assembly, placement of parts and more, underlining the fact that cobots can be used in almost any production process. During Automate 2019, RG Industries signed a dealership agreement with Doosan Robotics to be their first distributor in the North American market. Through the partnership, Doosan plans to launch its cobots in nine U.S. states including Pennsylvania, New York, New Jersey, West Virginia, Connecticut, Ohio, Maryland, West Virginia and Delaware.
Futures are always a reaction to the present; tomorrow is always a judgment on today. By training a microscope on how we work now, we can try to figure out how we're going to work when this day is done. Though the future of work will always be in the future, the future of your work has never been closer. The rise of robots, machine intelligence, distributed ledgers, quantum physics, "gig" labor, the unexaggerated death of privacy, a world eaten alive by software -- all these trends point to a new world that's shaping up quite differently from anything we've ever seen, or worked in, before. File size - 9MB The file size is large, so please give it a couple of minutes to download.
In this Thursday, July 11, 2019, photograph, United States Department of Agriculture intern Alex Olsen prepares to place down a drone at a research farm northeast of Greeley, Colo. After a brief, snaking flight above the field, the drone landed and the researchers removed a handful of memory cards. Back at their computers, they analyzed the images for signs the corn was stressed from a lack of water. This U.S. Department of Agriculture station outside Greeley and other sites across the Southwest are experimenting with drones, specialized cameras and other technology to squeeze the most out of every drop of water in the Colorado River – a vital but beleaguered waterway that serves an estimated 40 million people. Should they still be able to use it?
Israeli pedestrian detection start-up, Viziblezone, reports it has reached a major milestone in the development of its detector technology. The company claims that its prototype system has proven that it can detect pedestrians even hidden behind objects at distances of up to 150 metres. According to Viziblezone, while many technologies to mitigate vehicle-to-vehicle accidents have been developed in recent years, there remains a significant lack of vehicle-to-pedestrian accident prevention systems. Meanwhile, with the growth of autonomously driven vehicles, and the expansion of technologies such as robo-taxis, the risks to pedestrians are increasing exponentially at a rate that existing vehicle sensor systems can't effectively address, the company notes In June 2019, the World Health Organisation reported that in 2018, more than 1.5 million people were killed, and more than 50 million injured in road accidents. Of these casualties, more than 50 per cent were pedestrians and cyclists – a number that tragically continues to grow.
A few years ago, consulting giant McKinsey predicted that artificial intelligence and automation would eliminate a 73 million jobs by 2030. That's a scary number of jobs, and a prediction that led many professionals to evaluate their own skills and research ways to future-proof their careers from the coming automation/AI job apocalypse. In the absence of an elder expert giving you one word of advice, like "Plastics!" what can an IT professional (or a new graduate) do to ensure that the robots don't come to take your job? That's been a key question over the past few years, and one without that simple one-word answer. Experts have said that jobs focused on implementing and managing artificial intelligence and automation would be great avenues for job-seekers to pursue.