US Air Force funds Explainable-AI for UAV tech

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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.


Potential and Peril

Communications of the ACM

The history of battle knows no bounds, with weapons of destruction evolving from prehistoric clubs, axes, and spears to bombs, drones, missiles, landmines, and systems used in biological and nuclear warfare. More recently, lethal autonomous weapon systems (LAWS) powered by artificial intelligence (AI) have begun to surface, raising ethical issues about the use of AI and causing disagreement on whether such weapons should be banned in line with international humanitarian laws under the Geneva Convention. Much of the disagreement around LAWS is based on where the line should be drawn between weapons with limited human control and autonomous weapons, and differences of opinion on whether more or less people will lose their lives as a result of the implementation of LAWS. There are also contrary views on whether autonomous weapons are already in play on the battlefield. Ronald Arkin, Regents' Professor and Director of the Mobile Robot Laboratory in the College of Computing at Georgia Institute of Technology, says limited autonomy is already present in weapon systems such as the U.S. Navy's Phalanx Close-In Weapons System, which is designed to identify and fire at incoming missiles or threatening aircraft, and Israel's Harpy system, a fire-and-forget weapon designed to detect, attack, and destroy radar emitters.


How AI can help the Indian Armed Forces

#artificialintelligence

In popular consciousness, the idea of military AI immediately brings to mind the notion of autonomous weapon systems or "killer robots", machines that can independently target and kill humans. The possible presence of such systems on battlefields has sparked a welcome international debate on the legality and morality of using these weapon systems. The controversies surrounding autonomous weapons, however, must not obscure the fact that like most technologies, AI has a number of non-lethal uses for militaries across the world, and especially for the Indian military. These are, on the whole, not as controversial as the use of AI for autonomous weapons, and, in fact, are far more practicable at the moment, with clear demonstrable benefits.


Israel's new battle bot

FOX News

Although it tends look to the sky, Israel Aerospace Industries (IAI) came back down to Earth to develop RoBattle, an unmanned ground vehicle (UGV) that may soon be tasked with the type of risky missions typically assigned to foot soldiers. IAI's UGV is built to be maneuverable, dynamic, and tough. Six wheels with independent suspension enable RoBattle to scale obstacles, such as rubble and small walls, to access areas that would typically be out of reach for other robots. A modular robotic kit allows the machine to be modified and adapted with remote vehicle control, navigation, and real time mapping abilities, depending on its operational needs. RoBattle can operate independently or as support unit for convoy protection, decoy, ambush, attack, intelligence, surveillance, or armed reconnaissance, according to IAI.


Raytheon's laser and microwave buggy test brought down 45 drones

Engadget

This week, Raytheon announced it successfully tested its anti-drone technology. The advanced high-power microwave and laser dune buggy brought down 45 unmanned aerial vehicles (UAVs) and drones at a U.S. Army exercise that was held in Fort Sill, Oklahoma. The microwave system was able to bring down multiple UAVs at once when the devices swarmed, while the high energy laser (HEL) was able to identify and shoot down 12 Class I and II UAVs, as well as six different stationary devices that propelled mortar rounds. The equipment is intended to protect US troops against drones; it's self-contained and easy to deploy in a tense situation. The U.S. Air Force Research Laboratory worked with Raytheon to develop this counter-drone and UAV tech.