The First Drone Designed Specifically for Beginners, Enthusiasts and Students
Charles River Analytics is partnering with 5D Robotics to develop an intuitive interface for controlling robotic leader-follower systems in small team operations for the US Army. The Multi-Modal Interface for Natural Operator Teaming with Autonomous Robots, or MINOTAUR, fuses multiple, proven leader-tracking and robot control technologies to provide a reliable, hands-free interface for Warfighters teaming with autonomous systems in challenging environments.
Mouser Electronics, Grant Imahara and Local Motors Showcase Promise of Self-Driving Technology With 3D-Printed Vehicle Equipped With Drone Technology
Mouser Electronics Inc., the authorized global distributor with the newest semiconductors and electronic components, together with Local Motors and celebrity engineer Grant Imahara today showcased the final build of a transformative 3D-printed vehicle with drone-launching technology. The Mouser version of the Local Motors Strati is the latest project from Mouser's highly popular Empowering Innovation Together™ program.
Building on the success of its North American event, Diversified Communications will host European commercial drone expo and conference.
Liquid Robotics and Boeing Demonstrated Groundbreaking Autonomous Maritime Warfare Capabilities at the British Royal Navy's Unmanned Warrior Demonstration
Unmanned Surface Vehicles autonomously detected and tracked a live submarine
Graphcore Ltd, a startup developing new technology to deliver massive acceleration for machine learning and AI applications, has completed a $30m Series-A funding round from a world-class line up of venture capital and strategic investors.
From Alex J. Champandard: As seen on TV! What if you could increase the resolution of your photos using technology from CSI laboratories? Thanks to deep learning and #NeuralEnhance, it's now possible to train a neural network to zoom in to your images at 2x or even 4x. You'll get even better results by increasing the number of neurons or training with a dataset similar to your low resolution image. The catch? The neural network is hallucinating details based on its training from example images. It's not reconstructing your photo exactly as it would have been if it was HD. That's only possible in Hollywood — but using deep learning as "Creative AI" works and it is just as cool! (github)
First UAV to provide data capture from virtually any angle - up, down, and all around
Zoya Teirstein for The Verge: The Supreme Administrative Court of Sweden just ruled that camera drones qualify as surveillance cameras and require a permit under Sweden's camera surveillance laws. The ruling requires owners to cough up a sizable fee in order to get their equipment off the ground, and paying to start the process is no guarantee a citizen will be granted the right to fly. County administrators will have to consider whether use of a "surveillance camera" overrides the public's right to privacy on a case-by-case basis. Aerial photographers and recreational drone users may have to rely on alternative methods to get their footage. The justices said dash cams and cameras affixed to bicycle handlebars are not in violation of the public's right to privacy because the devices are within reaching distance of the people who operate them. The ruling targets recreational and commercial users alike, and makes zero exceptions for journalists. Sweden's leading drone company Unmanned Aerial System (UAS) said up to 3,000 people may lose their jobs as a result of the court's decision. Cont'd...
Intel CEO Brian Krzanich to Speak, The Weather Channel's Jim Cantore to Host AUVSI's XPONENTIAL 2017
FAA Drone Advisory Committee chair and renowned meteorologist to participate in largest trade show for unmanned systems and robotics industry
"Future of Drones: Clearing the Flight Path to a Connected World" to Be Opening Day Keynote at Drone World Expo
Second Day Keynote to Address the Realities of Drone Delivery
Financing to help with further commercialization and market
From James Charles, Derek Magee, David Hogg: The objective of this work is to build virtual talking avatars of characters fully automatically from TV shows. From this unconstrained data, we show how to capture a character’s style of speech, visual appearance and language in an effort to construct an interactive avatar of the person and effectively immortalize them in a computational model. We make three contributions (i) a complete framework for producing a generative model of the audiovisual and language of characters from TV shows; (ii) a novel method for aligning transcripts to video using the audio; and (iii) a fast audio segmentation system for silencing nonspoken audio from TV shows. Our framework is demonstrated using all 236 episodes from the TV series Friends (≈ 97hrs of video) and shown to generate novel sentences as well as character specific speech and video... (full paper)
First-of-its-kind demonstration opens new possibilities for interaction between humans and machines
Zenmuse Z30's capabilities mean faster, safer & more-precise inspections
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