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 Drones


DGIST - Daegu Gyeongbuk Institute of Science and Technology

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DGIST announced on Tuesday, July 16 that Senior Researcher Dae-gun Oh's team in the Collaborative Robots Research Center developed a radar system that can detect subminiature drones that are 3km away. This research is expected to make huge contributions to strengthening domestic industries and defense capabilities by securing a world-class radar sensing technology. As a result of discovering a North Korean drone in Paju in March 2014, South Korea's Ministry of National Defense has adopted a drone detection radar based on an overseas technology. Since last year, the ministry has devoted itself into building a combat system using drones and training specialized personnel by forming a drone unit to strengthen its defense capability. The necessity of enemy surveillance reconnaissance and the early detection of offensive drones has increased in Korea.


Alphabet's drone delivery project Wing launches air-traffic control app

Daily Mail - Science & tech

Drone delivery service Wing is launching its own air-traffic control app to keep its craft safe in the skies. The company, owned by Google-parent Alphabet, recently started making deliveries in parts of Australia and Finland. Wing's new iOS and Android app aims to'help users comply with rules and plan flights more safely and effectively,' providing a rundown of airspace restrictions and hazards as well as events nearby that could interfere. The new app, Open Sky, is being released to drone flyers in Australia this month according to Wing. 'The design of our software has required a detailed understanding of flight rules -- along with buildings, roads, trees, and other terrain -- that allow aircraft to navigate safely at low altitudes, and we've used it to complete tens of thousands of flights on three continents,' Wing said in a blog post.


Seven ways your UAV-mapping business will benefit from an AI object detection platform - sUAS News - The Business of Drones

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Along with the hardware and software sectors, the drone services market is the largest segment in the commercial drone industry with the strongest expansion. According to the market research report "Global Drone Service Market Analysis & Trends – Industry Forecast to 2025", the drone services market is estimated at USD 4.4 billion in 2019 and is projected to reach USD 63.6 billion by 2025, at a CAGR of 55.9% from 2019 to 2025. This is a huge opportunity for drone service providers. The key for capturing a share of this growing market is to offer turnkey business solutions beyond data capture, such as mapping, surveying and specialized geospatial analytics. With more and more business relying on location data to optimize their day-to-day operations and planning or gain first-hand market insights.


The Rev-1 delivery robot is fast enough to hit the bike lane

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As many folks continue to look skyward in expectation of drone delivery services, they're missing the development of an increasingly popular delivery technology back on terra firma. Wheel-based delivery robots may not be quite as sexy as their flying counterparts, but with fewer regulatory hoops to jump through than drone services, the technology is likely to become more widely used sooner rather than later by companies looking to make their delivery operations more efficient. The latest outfit to join the race is U.S. startup Refraction A.I. with its autonomous Rev-1 machine. The brainchild of University of Michigan professors Matthew Johnson-Roberson and Ram Vasudevan, the Rev-1 tootles along on three wheels instead of the four or six that we see with most of the competition. The wheels and storage compartment mean the look of the Rev-1 is similar to efforts from dominant player Starship Technologies, as well as delivery robots from FedEx and Amazon.


Great white sharks spotted interacting off the coast of Cape Cod for the first time in drone footage

Daily Mail - Science & tech

A remarkable drone video captured off the coast of Cape Cod has caught the first-ever look at a pair of great white sharks interacting in the region. Researchers with the Atlantic White Shark Conservancy shared the footage on Twitter this week, revealing the moment the two huge predators appear to square off in the ocean. While the exact nature of the encounter is still unclear, experts say it's not uncommon for these sharks to attack each other when they cross paths. In the video shared by AWSC, one shark can be seen swimming alone before another enters the frame. The latter at first appears to approach cautiously, before speeding up to veer directly into the other. It's the first time two white sharks have been spotted interacting off the coast of Chatham, according to the researchers.


Creating Dystopia: The Greatest Threats Humanity Faces

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Since robots first taking over industrial manufacturing, people have worried that they'll replace us. But now, with the explosion of artificial intelligence applications, our jobs are more under threat than ever before. Automated technology monitors and control production and manufacturing. Drones and driverless cars are taking over transportation and delivery services. By 2030, between 75 million and 375 millions could be automated.


Move Over, Spot. Anymal Is a Four-Legged Robot With Sorts of Tricks Digital Trends

#artificialintelligence

When you think of canine-inspired robots, your brain probably conjures up images of Boston Dynamics' celebrated dog robot, Spot. Swiss robotics company Anybotics has also created its own audacious, quadruped robot. The size of a large dog and weighing a little under 80 pounds, Anymal aims to be the gold standard in dog-bots. It's capable of autonomously walking, running, and climbing, and can even get back on its feet if it falls over. Although Spot will go on sale for the first time later this year, this gleaming robotic beast is already on the market in Europe, the United States, and the Middle East.


From Flying Cars to Drone Delivery, Smart Future Will Soon Become Reality.

#artificialintelligence

Technology has revolutionized our world and lives. It has made our lives better, faster, easier and fun. It has given us multi functional devices that have put everything at the touch of a button. From the way we communicate to the way we travel, its changing and evolving rapidly every day. Social media isn't the only big statement technology has made by making the way we connect and interact with the world.


Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

arXiv.org Artificial Intelligence

Next-generation wireless networks must support ultra-reliable, low-latency communication and intelligently manage a massive number of Internet of Things (IoT) devices in real-time, within a highly dynamic environment. This need for stringent communication quality-of-service (QoS) requirements as well as mobile edge and core intelligence can only be realized by integrating fundamental notions of artificial intelligence (AI) and machine learning across the wireless infrastructure and end-user devices. In this context, this paper provides a comprehensive tutorial that introduces the main concepts of machine learning, in general, and artificial neural networks (ANNs), in particular, and their potential applications in wireless communications. For this purpose, we present a comprehensive overview on a number of key types of neural networks that include feed-forward, recurrent, spiking, and deep neural networks. For each type of neural network, we present the basic architecture and training procedure, as well as the associated challenges and opportunities. Then, we provide an in-depth overview on the variety of wireless communication problems that can be addressed using ANNs, ranging from communication using unmanned aerial vehicles to virtual reality and edge caching.For each individual application, we present the main motivation for using ANNs along with the associated challenges while also providing a detailed example for a use case scenario and outlining future works that can be addressed using ANNs. In a nutshell, this article constitutes one of the first holistic tutorials on the development of machine learning techniques tailored to the needs of future wireless networks.


NASA will fly a drone to Titan to search for life

The Japan Times

WASHINGTON - For its next mission in our solar system, NASA plans to fly a drone copter to Saturn's largest moon, Titan, in search of the building blocks of life, the space agency said Thursday. The Dragonfly mission, which will launch in 2026 and land in 2034, will send a rotorcraft to fly to dozens of locations across the icy moon, which has a substantial atmosphere and is viewed by scientists as an equivalent of very early Earth. It is the only celestial body besides our planet known to have liquid rivers, lakes and seas on its surface, though these contain hydrocarbons like methane and ethane, not water. "Visiting this mysterious ocean world could revolutionize what we know about life in the universe, " said NASA administrator Jim Bridenstine. "This cutting-edge mission would have been unthinkable even just a few years ago, but we're now ready for Dragonfly's amazing flight."