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 part of Wikibrands' Digital Periscope study and surveys (see currently open 2018 studies Current Practices and Future Trends), we have ranked the 30 emerging technologies that will impact culture, the marketplace and society the most over the next decade. With no further adieu, here is our list. We'll also admit that as much as we like to keep each of these technologies distinct and separate, many of them are interacting and blending with each other (and that's okay). We plan on evolving the 30 list and using it as a benchmark and basis for all future analysis and thought leadership to bridge the gap between holders of technology and those to put it to work. Part of our three year old odyssey to put digital transformation deeper, wider and faster inside organizations through our help and interventions.
One kind of robot has endured for the last half-century: the hulking one-armed Goliaths that dominate industrial assembly lines. These industrial robots have been task-specific -- built to spot weld, say, or add threads to the end of a pipe. They aren't sexy, but in the latter half of the 20th century they transformed industrial manufacturing and, with it, the low- and medium-skilled labor landscape in much of the U.S., Asia, and Europe. You've probably been hearing a lot more about robots and robotics over the last couple years. That's because for the first time since the 1961 debut of GM's Unimate, regarded as the first industrial robot, the field is once again transforming world economies. Only this time the impact is going to be broader.
Disruptive technologies such as artificial intelligence (AI) and encryption hold the promise of solving some of the world's most pressing issues. Future innovations relying on their use are endless: creating remote health care for the elderly and people with disabilities, for instance, or protecting our privacy and creating smart cities that can reduce waste and ease congestion. But some people look at these innovations with a deep sense of fear, envisioning a future where robots take over our jobs and eventually eclipse us. It's an understandable fear – and one that's long been popularized by the movies and the media. It's even become a polarizing battle within the tech industry itself, with Elon Musk warning about the possible misuse and militarization of AI, while tech execs, including Google's Eric Schmidt and Facebook's Mark Zuckerberg, call Musk's views misleading and alarmist.
A professor of ethics and technology has told scientists and policymakers that digital technology like artificial intelligence'desperately' need to be regulated using an institutional framework and system of values. "It is presented to us mainly by big corporations who want to make some profit." Van den Hoven, a member of the European Group on Ethics in Science and New Technologies (EGE), said: "We need to think about governance, inspection, monitoring, testing, certification, classification, standardisation, education, all of these things. We need to desperately, and very quickly, help ourselves to it." He also spoke about the need for a cross-Europe network of institutions that could provide a set of values, based on the EU's Charter of Fundamental Rights, which the technology industry could use to inform future work on AI.
Rolls-Royce has unveiled the propulsion side of an electric vertical take-off and landing (EVTOL) concept, which the company said could be used from personal transport through to military applications. The vehicle would be able to seat four or five people and would use a M250 gas turbine engine to power six low-noise electric propellers, as well as charge a battery. The M250 would be housed in the rear of the aircraft, with the company stating it delivered the first version of the series over 50 years ago and currently more than 16,000 remain in service from a delivery total of over 31,000. "In this hybrid-EVTOL configuration, it could carry four or five passengers at speeds up to 250mph for approximately 500 miles, would not require recharging -- as the battery is charged by the gas turbine -- and would be able to utilise existing infrastructure such as heliports and airports," Rolls-Royce said. The concept could be reality by "early to mid 2020s", the company claimed; however, it would need an airframe and partners to work on parts of the electrical system.
General Motors deployed the first mechanical-arm robot to operate one of its assembly lines as early as 1959. Since that time, robots have been employed to perform numerous manufacturing tasks such as welding, riveting, and painting. This first generation of robots was inflexible, could not respond simply to errors, and required individual programming specific to the tasks they were designed to perform. These robots were governed and inspired by logic--a series of programs coded into their operating systems. Now, the next wave of intelligent robotics is taking advantage of a different kind of learning, predicated on experience rather than logical instruction, to learn how to perform tasks in much the same way that a child would.
The last few months have witnessed a rise in the attention given to Artificial Intelligence (AI) and robotics. The fact is that robots have already become a part of society; in fact, it is now an integral part. Big data is also definitely a buzzword today. Enterprises worldwide generate a huge amount of data. The data doesn't have a specified format.
At some point in the not-too-distant future, artificial intelligence (AI) will drive our cars, write our programming code, and optimize how we do business. Data centers, too, will be unable to escape this trend. Thanks to machine learning technology, companies and data center operators will be able to coordinate and manage increasingly complex machines, infrastructures, and data more effectively than ever before, even as their numbers and data volumes continue to rise. Are completely autonomous, self-repairing data centers on the horizon? The data center is the backbone of the digital revolution.
At the Artificial Intelligence Conference in New York, Kathryn Hume pointed me to Ellen Ullman's excellent book, Life in Code: A Personal History of Technology. In Part 3 of her book "Life, Artificial," Ullman talks about artificial intelligence, robotics, and the desire to create artificial life. What these views of human sentience have in common, and why they fail to describe us, is a certain disdain for the body: the utter lack of a body in early AI and in later formulations like Kurzweil's (the lonely cortex, scanned and downloaded, a brain-in-a-jar); and the disregard for this body, this mammalian flesh, in robotics and ALife [Artificial Life]. By connecting the poverty of AI with its denial of the body, Ullman follows an important thread in feminist theory: our thinking needs to be connected to bodies, to physical human process, to blood and meat. The male-dominated Western tradition is all about abstraction, for which Plato is the poster child.
In the following sections, we will present a few examples of how power management electronics can come to the rescue in each case. The smaller PCB size that results from miniaturization presents a challenge for thermal dissipation. Thermal management options, such as heatsinks, are ruled out since board space is at a premium. Fans for forced airflow cannot be used due to sealed enclosures that prevent ingress of dust and pollutants. Therefore, it is crucial that the power-supply solution is extremely efficient, while delivering higher power and occupying a smaller area than ever before. Industrial applications are characterized by a 24V nominal DC voltage bus that has its history in old analog relays and remains the de-facto industry standard. However, the maximum operating voltage for industrial applications is expected to be 36V to 40V for non-critical equipment, while critical equipment, such as controllers, actuators, and safety modules, must support 60V (IEC 61131-2, 60664-1, and 61508 SIL standards). Popular output voltages are 3.3V and 5V with currents varying from 10mA in small sensors to tens of amps in motion control, CNC, and PLC applications. Thus, the obvious choice for industrial control applications is a step-down (buck) voltage regulator (Figure 4).