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.
In order to achieve the edge computing that people talk about in a host of applications including 5G networks and the Internet of Things (IoT), you need to pack a lot of processing power into comparatively small devices. The way forward for that idea will be to leverage artificial intelligence (AI) computing techniques--for so-called AI at the edge. While some are concerned about how technologists will tackle AI for applications beyond traditional computing--and some are wringing their hands over which country will have the upper hand in this new frontier--the technology is still pretty early in its development cycle. But it appears that still-too-early-yet status is about to change a bit. Researchers at the Université de Sherbrooke in Québec, Canada, have managed to equip a micro-electromechanical system (MEMS) device with a form of artificial intelligence, marking the first time that any type of AI has been included in a MEMs device.
Tech analyst firm Gartner has compiled a list of the top ten strategic technology trends that organisations need to explore in 2019. According to Garner, these technologies have substantial disruptive potential and are either on the edge of making a big impact, or could reach a tipping point in the next five years. Some of these trends will be combined: "Artificial intelligence (AI) in the form of automated things and augmented intelligence is being used together with the Internet of Things (IoT), edge computing and digital twins to deliver highly integrated smart spaces," explained Garner vice-president David Cearley. The analyst firm's top 10 strategic technology trends for 2019 include: This includes robots, drones and autonomous vehicles that use AI to automate functions previously performed by humans. The next shift is likely to be from standalone intelligent things to swarms of collaborative devices working either independently or with human input, Gartner predicts.
"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." Some technologies fizz out over a period of time while some stay on the sidelines and then gain traction after startups, SMEs, and other MNCs fund it or integrate it in their operations. Regardless of changing trends, technology is inevitable. As time passes by, technology gets more and more advanced and pervades every facet of our lives from the way we live to the way we work. Driverless electric cars, AR and VR technology, and robot surgeons are some talk of the town technologies that have created a revolution that will grow for as long as humans continue to advance in their capabilities.
Although science fiction may depict AI robots as the bad guys, some tech giants now employ them for security. Companies like Microsoft and Uber use Knightscope K5 robots to patrol parking lots and large outdoor areas to predict and prevent crime. The robots can read license plates, report suspicious activity and collect data to report to their owners. These AI-driven robots are just one example of "autonomous things," one of the Gartner Top 10 strategic technologies for 2019 with the potential to drive significant disruption and deliver opportunity over the next five years. "The future will be characterized by smart devices delivering increasingly insightful digital services everywhere," said David Cearley, Gartner vice president and Fellow, at Gartner 2018 Symposium/ITxpo in Orlando, Florida.
I feel that there was a sort of explosion a couple of years ago after which the whole topic of Artificial Intelligence (AI) suddenly sprang into a wider audience's consciousness. All of a sudden we had Siri, Amazon's Alexa and we started talking about self-driving cars. Jaan Tallinn, how did it happen? There were two different explosions. I believe that a lot of the latter had to do with the works of Elon Musk and Stephen Hawking. Most importantly, the former was the revolution of deep learning.
This set of FAQs offers information about the founding of the MIT Stephen A. Schwarzman College of Computing, announced today, and its implications for the MIT community and beyond. Q: What is MIT announcing today that's new? A: Today MIT is announcing a $1 billion commitment to address the global opportunities and challenges presented by the ubiquity of computing -- across industries and academic disciplines -- and by the rise of artificial intelligence. At the heart of this endeavor will be the new MIT Stephen A. Schwarzman College of Computing, made possible by a foundational $350 million gift from Stephen Schwarzman, the chairman, CEO, and co-founder of Blackstone, a leading global asset manager. An additional $300 million has been secured for the College through other fundraising.
Robots aren't the job-pilfering monsters that Hollywood's sci-fi community would have you believe, with the World Economic Forum (WEF) predicting in its 2018 "Future of Jobs Report" that they'll create 133 million jobs by 2022. Robots routinely feature in unease-inducing narratives about the dangers of autonomous machines, with opponents arguing that the futuristic entities will soon be hoovering up our jobs. While it's true that robots will be able to take on jobs previously performed by humans – much like mechanisation did for agriculture – experts reckon they'll actually generate more jobs than they drain. As a prominent the Switzerland-based WEF has shed some statistical light on the situation, predicting that, while robots will displace in the region of 75 million jobs by 2022, they'll create 133 million new ones. Advances in computing are being held responsible for net growth of jobs worldwide, with the WEF advising that they will free workers up for new tasks.
Microsoft is demonstrating greater commitment to robotics by announcing Windows support for the Robot Operating System (ROS) and joining an industrial consortium. ROS is a flexible framework that enables developers to write software for advanced robotic behaviours. While the collection of tools, libraries, and conventions has historically only had official support on Linux, developers will now be able to utilise the tools in Windows 10. The move will see Microsoft work with Open Robotics and the ROS Industrial Consortium to bring the Robot Operating System to Windows. Microsoft has also joined the Consortium, which works to extend the advanced capabilities of ROS into manufacturing and improve the productivity and return on investment of industrial robots.
This ebook, based on the latest ZDNet / TechRepublic special feature, explores how the combination of 5G and edge computing will unleash new IT capabilities. From real-time analytics to automation and to self-driving cars and trucks, edge computing is unleashing multiple new capabilities, and companies couldn't be more receptive to it, said ZDNet sister site Tech Pro Research. According to a recent Tech Pro Research survey, 52 percent of respondents currently use edge computing technologies, and 51 percent of respondents plan to employ edge computing technologies within the next 12 months. Currently, companies spend on IoT-based technologies like cameras and sensors that focus on security, monitoring, and equipment automation. The ability to monitor and maintain equipment located at remote sites without traveling to perform maintenance, as well as the capability to monitor and manage physical facilities in real-time, speaks to edge computing's vast appeal.
NVIDIA Isaac platform with Jetson Xavier, a computer designed specifically for robotics.NVIDIA Robots are a well-established part of manufacturing but have the opportunity to unlock new efficiencies in industries such as retail, food service and healthcare. To date, robots have primarily been enclosed or segmented into specific areas to protect people from possible injuries. Today, companies want to integrate robotics into various types of workplaces, but this requires a new design paradigm for robotics. Allowing a robot to move freely in an unpredictable environment requires fast, reliable, intelligent computing within the robot. The ability to deliver this level of complex computing at within a small component, at a low price point has held the robotics industry back.