Robots


Role Played by Artificial Intelligence and RPA in transformation of the business world

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Over the past few decades, technology-based innovations have added a new meaning to business conversations, thus changing the way we live and work in the digital age. With increased focus on improving business agility and performance, to sail through the challenging age of digital transformation, it is in the interest of modern businesses to leverage these cutting-edge technologies to maximize operational efficiencies and sustain profitability. The journey so far and how new technologies will impact key verticals in the coming years. The age of transformation will witness the emergence of varied possibilities and use-cases with the intermingling of new age technologies like Artificial Intelligence, IoT, automation and analytics. While Artificial Intelligence has many use cases, practically in every field, we would see that the best end-to-end application of Artificial Intelligence will happen in conjunction with automation.


Royal Navy plotting fleet of 'killer' robot ships using artificial intelligence

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Navy chiefs are planning a fleet of "killer" robot ships which can think for themselves, we can reveal. They will have stealth technology, advanced radar, lasers and rail-guns capable of firing shells at 4,500mph. The vessels will use artificial intelligence – computerised brains – to work out tactics far more quickly than humans. Scientists say they will operate on their own or from a control room on shore – or act as mother ships to a fleet of smaller craft designed to overwhelm conventional ships. The Royal Navy says humans would set the limits of a battle and let the ships do the rest.


Costa Group turns to AI 'maths robot' to improve berry yield predictions ZDNet

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Costa Group, one of Australia's largest horticulturist companies, has begun rolling out an artificial intelligence (AI) system to help the company better understand and manage the quantity and quality of its berry crops. The Sensing system, developed by Sydney-based company, The Yield, has been designed to measure 14 variables of a typical agriculture model such as rain, light, wind, temperature, and soil moisture in real time. The information is then ingested into an Internet of Things (IoT) platform and combined with existing data sets shared by Costa before AI is applied to create a localised prediction of each berry crop. "We literally describe the system like a maths robot because it's effectively crunching through data and selecting the most important feature sets, creating models, putting them into production, measuring the accuracy, feeding that back in, and continually adjusting," The Yield founder and managing director Ros Harvey told ZDNet. The system was recently installed within the polytunnels of Costa's eight berry farms in New South Wales, Queensland, and Tasmania.


Global Economy Implications of Artificial Intelligence

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Artificial intelligence can possibly gradually add 16% or around US$13 trillion by 2030 to current worldwide economic output – an annual average contribution to efficiency development of about 1.2% between now and 2030, as indicated by a September, 2018 report by the McKinsey Global Institute on the impact of AI on the world economy. The McKinsey report depends on simulation models of the impact of Artificial Intelligence at the nation, sector, organization and worker levels. It took a look at their adoption of five general classifications of AI technologies: computer vision; natural language; virtual assistants, robotic process automation, and advanced machine learning. Data sources included survey information from around 3,000 firms in 14 distinct parts and economic information from various organizations including the United Nations, the World Bank and the World Economic Forum. Artificial intelligence (AI) and machine learning (ML) are being embraced by a more prominent number of people, organizations, and governments as rising effectiveness and productivity are allowing exponential growth in specific parts of the worldwide economy.


Edge Video Analysis (EVA) for Autonomous Machines with Computer Vision

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The number of robots used in industrial applications continues to grow and their capabilities continue to evolve. The first stationary industrial robot, the Unimate, was installed in a factory by General Motors in 1961. According to the International Federation of Robotics (IFR), the World Robotics report released on Jan. 20, shows that more than 2.4 million industrial robots are currently operating in factories around the world. And this number is expected to grow dramatically in the coming years. Following the rapid adoption of stationary robots, the next development was the deployment of mobile robots in the form of automatic guided vehicles (AGVs).


This Week's Awesome Tech Stories From Around the Web (Through February 22)

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The Messy, Secretive Reality Behind OpenAI's Bid to Save the World Karen Hao MIT Technology Review "There is a misalignment between what the company publicly espouses and how it operates behind closed doors. Over time, it has allowed a fierce competitiveness and mounting pressure for ever more funding to erode its founding ideals of transparency, openness, and collaboration." The Studs on This Punk Bracelet Are Actually Microphone-Jamming Ultrasonic Speakers Andrew Liszewski Gizmodo "You can prevent facial recognition cameras from identifying you by wearing face paint, masks, or sometimes just a pair of oversized sunglasses. Keeping conversations private from an ever-growing number of microphone-equipped devices isn't quite as easy, but researchers have created what could be the first wearable that actually helps increase your privacy." Iron Man Dreams Are Closer to Becoming a Reality Thanks to This New Jetman Dubai Video Julia Alexander The Verge "Tony Stark may have destroyed his Iron Man suits in Iron Man 3 (only to bring out a whole new line in Avengers: Age of Ultron), but Jetman Dubai's Iron Man-like dreams of autonomous human flight are realer than ever. A new video published by the company shows pilot Vince Reffet using a jet-powered, carbon-fiber suit to launch off the ground and fly 6,000 feet in the air."


Driver Assistance Technologies And Levels Of Autonomy Explained: Viable For India?

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Autonomous emergency braking (AEB) is a continuously-on system which detects proximity with obstacles ahead. If the system detects an imminent crash, it warns the driver and primes the braking system. If the driver fails to respond, the car applies the brakes with as much force as necessary to prevent collision. Some AEB systems can also detect cyclists and pedestrians which may be hidden behind a blind spot until its too late. However, this isn't an assistance system -- you can't use an AEB-equipped car to take your foot off the brake in traffic.


How AI Is Supercharging RPA (Robotic Process Automation)

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Robotic Process Automation (RPA), which allows for the automation of the tasks of workers, has been one of the hottest categories in tech. The reason is actually simple: the ROI (Return on Investment) has generally been fairly high. Yet there are some nagging issues. And perhaps the biggest is the scaling of the technology. But AI (Artificial Intelligence) is likely to help out.


A Decade Of Change: How Tech Evolved In The 2010s And What's In Store For The 2020s

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Significant technological advancements and societal shifts occurred during the 2010's decade. Yet many of these developments became so quickly engrained in our daily lives that they often went relatively unnoticed, and their impact all but forgotten. Over this next decade, the 2020s, we expect similar rapid and meaningful advancements to occur. Moore's law suggests that over a 10-year period, semiconductors will advance by 32 times, bringing about mesmerizing innovation in the digital age that should not only change technology but society as well. In this piece, we review the technological advancements over the last decade and anticipate what revolutionary changes may be in store for us over the next 10 years.


Skydio - Impossible Video, Now Possible. Master Data Science

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Skydio is an autonomous drone technology company that designs and develops GPS enabled software to navigate drones. Since 2014, Skydio has established its company which specializes in artificial intelligence, robotics and computer vision. Not until 2018 they launched R1 which was considered as a breakthrough in autonomous drones for customers and as a platform for commercial development. Nowadays, they are building autonomous systems, using artificial intelligence to duck under canopies and dive around branches in forests with caution all by itself. Furthermore, not only it is able to avoid obstacles, some other benefits are they provide remarkable pictures no other drones can.