Z Advanced Computing, Inc. (ZAC) of Potomac, MD announced on August 27 that it is funded by the US Air Force, to use ZAC's detailed 3D image recognition technology, based on Explainable-AI, for drones (unmanned aerial vehicle or UAV) for aerial image/object recognition. ZAC is the first to demonstrate Explainable-AI, where various attributes and details of 3D (three dimensional) objects can be recognized from any view or angle. "With our superior approach, complex 3D objects can be recognized from any direction, using only a small number of training samples," said Dr. Saied Tadayon, CTO of ZAC. "For complex tasks, such as drone vision, you need ZAC's superior technology to handle detailed 3D image recognition." "You cannot do this with the other techniques, such as Deep Convolutional Neural Networks, even with an extremely large number of training samples. That's basically hitting the limits of the CNNs," continued Dr. Bijan Tadayon, CEO of ZAC.
Massimiliano "Max" Versace traces the birth date of his startup to when NASA came knocking in 2010. The U.S. space agency had caught wind of his military-funded Boston University research on making software for a brain-inspired microprocessor through an IEEE Spectrum article, and wanted to see if Versace and his colleagues could help develop a software controller for robotic rovers that could autonomously explore Mars. NASA's vision proved no easy challenge. Mars rovers have limited computing, communications, and power resources. NASA engineers wanted artificial intelligence that could rely solely on images from a low-end camera to navigate different environments.
Amy from x.ai Melody Medical Bot from Baidu Travel, Shopping and Customer Service Bots: Claire, Clara, Julie, Ann, Messenger Bot from Kayak, KLM, Expedia … 10. Machine Learning – Need to mitigate Business concerns 1 • Data without biases • Transfer tribal Knowledge to Data • Compliances • Social nuances • Voice to Speech challenges IoTDisruptions.com Amy from x.ai Melody Medical Bot from Baidu Travel, Shopping and Customer Service Bots: Claire, Clara, Julie, Ann, Messenger Bot from Kayak, KLM, Expedia …
Irish chip maker Movidius has created the world's first deep learning USB stick that can add artificial intelligence (AI) to future products from self-driving cars to robots, and drones that will learn to think for themselves. Entitled the Fathom Neural Compute Stick, the device will sell for less than 100 and will allow powerful neural networks to be moved out of the cloud and deployed on new products like robots and drones. It is the latest breakthrough for the Dublin company, which has been winning major multi-million dollar deals with Google and drone maker DJI. 'With Fathom, every robot, big and small, can now have state-of-the-art vision capabilities' – DR YANN LECUN, NEW YORK UNIVERSITY "Any organisation can now add deep learning or machine intelligence to devices using the USB stick and create products that will be accessible to broader markets," Movidius co-founder David Moloney told Siliconrepublic.com. "We've already seen how the auto industry has been outflanked by Tesla and this is also starting to affect other industries.
Target tracking has been one of the many popular applications that an unmanned aerial vehicle (UAV) is used for, in a variety of missions from intelligence gathering and surveillance to reconnaissance missions. Target tracking by autonomous vehicles could prove to be a beneficial tool for the development of guidance systems- Pedestrian detection, dynamic vehicle detection, and obstacle detection too and can improve the features of the guiding assistance system. An aerial vehicle equipped with object recognition and tracking features could play a vital role in drone navigation and obstacle avoidance; video surveillance, aerial view for traffic management, self-driving systems, surveillance of road conditions, and emergency response too. Target detection capacity in drones has made stupendous progress off late. Earlier, target detection in drone systems mostly used vision-based target finding algorithms.