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Archive for the ‘drones’ category: Page 8

Jul 18, 2020

AI helps drone swarms navigate through crowded, unfamiliar spaces

Posted by in categories: drones, robotics/AI

Researchers have developed AI that lets drone swarms navigate cluttered, unmapped spaces without collisions.

Jul 10, 2020

The F-16’s Replacement Won’t Have a Pilot at All

Posted by in categories: drones, military, robotics/AI, space

Innovation.


The U.S. Air Force plans to have an operational combat drone by 2023. The service plans to build out a family of unmanned aircraft, known as Skyborg, capable of carrying weapons and actively participating in combat. The Air Force’s goal is to build up a large fleet of armed, sort-of disposable jets that don’t need conventional runways to take off and land.

Continue reading “The F-16’s Replacement Won’t Have a Pilot at All” »

Jul 9, 2020

Researchers determine how to accurately pinpoint malicious drone operators

Posted by in categories: cybercrime/malcode, drones, encryption, robotics/AI

Researchers at Ben-Gurion University of the Negev (BGU) have determined how to pinpoint the location of a drone operator who may be operating maliciously or harmfully near airports or protected airspace by analyzing the flight path of the drone.

Drones (small commercial unmanned ) pose significant security risks due to their agility, accessibility and low cost. As a result, there is a growing need to develop methods for detection, localization and mitigation of malicious and other harmful aircraft operation.

The paper, which was led by senior lecturer and expert Dr. Gera Weiss from BGU’s Department of Computer Science, was presented at the Fourth International Symposium on Cyber Security, Cryptography and Machine Learning (CSCML 2020) on July 3rd.

Jul 9, 2020

House defense spending bill would give the MQ-9 Reaper drone a second life

Posted by in categories: drones, military

Appropriators are also backing the purchase of a bunch of other aircraft across the services.

Jul 4, 2020

This New Drone Training Program Could Re-Tool Your Career

Posted by in categories: biotech/medical, drones

The first black US Drone company has created a new drone training program to help people re-tool their careers in a post-Covid-19 world.

Jul 3, 2020

‘Hunter drone’ that flies at night could be used to find gemstone deposits

Posted by in categories: drones, robotics/AI

An autonomous ‘hunter drone’ finds fluorescent targets including minerals and gemstones.

Jun 27, 2020

Skip the traffic with your personal flying drone

Posted by in category: drones

Click on photo to start video.

The Surefly is your personal octocopter that flies like a drone and can even be parked in your garage.

Jun 27, 2020

The technologies the world is using to track coronavirus — and people

Posted by in categories: biotech/medical, drones, education, health, robotics/AI, wearables

Now that the world is in the thick of the coronavirus pandemic, governments are quickly deploying their own cocktails of tracking methods. These include device-based contact tracing, wearables, thermal scanning, drones, and facial recognition technology. It’s important to understand how those tools and technologies work and how governments are using them to track not just the spread of the coronavirus, but the movements of their citizens.

Contact tracing is one of the fastest-growing means of viral tracking. Although the term entered the common lexicon with the novel coronavirus, it’s not a new practice. The Centers for Disease Control and Prevention (CDC) says contact tracing is “a core disease control measure employed by local and state health department personnel for decades.”

Traditionally, contact tracing involves a trained public health professional interviewing an ill patient about everyone they’ve been in contact with and then contacting those people to provide education and support, all without revealing the identity of the original patient. But in a global pandemic, that careful manual method cannot keep pace, so a more automated system is needed.

Jun 19, 2020

Teaching physics to neural networks removes ‘chaos blindness’

Posted by in categories: biotech/medical, drones, robotics/AI

Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. The work has implications for improved artificial intelligence (AI) applications ranging from medical diagnostics to automated drone piloting.

Neural networks are an advanced type of AI loosely based on the way that our brains work. Our natural neurons exchange electrical impulses according to the strengths of their connections. Artificial neural networks mimic this behavior by adjusting numerical weights and biases during training sessions to minimize the difference between their actual and desired outputs. For example, a can be trained to identify photos of dogs by sifting through a large number of photos, making a guess about whether the photo is of a dog, seeing how far off it is and then adjusting its weights and biases until they are closer to reality.

The drawback to this is something called “ blindness”—an inability to predict or respond to chaos in a system. Conventional AI is chaos blind. But researchers from NC State’s Nonlinear Artificial Intelligence Laboratory (NAIL) have found that incorporating a Hamiltonian function into neural networks better enables them to “see” chaos within a system and adapt accordingly.

Jun 18, 2020

Qualcomm Brings 5G And AI To Next Gen Robotics And Drones

Posted by in categories: drones, internet, robotics/AI, security

Qualcomm today announced its RB5 reference design platform for the robotics and intelligent drone ecosystem. As the field of robotics continues to evolve towards more advanced capabilities, Qualcomm’s latest platform should help drive the next step in robotics evolution with intelligence and connectivity. The company has combined its 5G connectivity and AI-focused processing along with a flexible peripherals architecture based on what they are calling “mezzanine” modules. The new Qualcomm RB5 platform promises an acceleration in the robotics design and development process with a full suite of hardware, software and development tools. The company is making big promises for the RB5 platform, and if current levels of ecosystem engagement are any indicator, the platform will have ample opportunities to prove itself.

Targeting robot and drone designs meant for enterprise, industrial and professional service applications, at the heart of the platform is Qualcomm’s QRB5165 system on chip (SOC) processor. The QRB5165 is derived from the Snapdragon 865 processor used in mobile devices, but customized for robotic applications with increased camera and image signal processor (ISP) capabilities for additional camera sensors, higher industrial grade temperature and security ratings and a non-Package-on-Package (POP) configuration option.

To help bring highly capable artificial intelligence and machine learning capabilities to bear in these applications, the chip is rated for 15 Tera Operations Per Second (TOPS) of AI performance. Additionally, as it is critical that robots and drones can “see” their surroundings, the architecture also includes support for up to seven concurrent cameras and a dedicated computer vision engine meant to provide enhanced video analytics. Given the sheer amount of information that the platform can generate, process and analyze, the platform also has support for a communications module boasting 4G and 5G connectivity speeds. In particular, the addition of 5G to the platform will allow high speed and low latency data connectivity to the robots or drones.

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