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For Climbing Robots, the Sky's the Limit

#artificialintelligence

Robots can drive on the plains and craters of Mars, but what if we could explore cliffs, polar caps and other hard-to-reach places on the Red Planet and beyond? Designed by engineers at NASA's Jet Propulsion Laboratory in Pasadena, California, a four-limbed robot named LEMUR (Limbed Excursion Mechanical Utility Robot) can scale rock walls, gripping with hundreds of tiny fishhooks in each of its 16 fingers and using artificial intelligence (AI) to find its way around obstacles. In its last field test in Death Valley, California, in early 2019, LEMUR chose a route up a cliff while scanning the rock for ancient fossils from the sea that once filled the area. For Climbing Robots, the Sky's the Limit: The climbing robot LEMUR rests after scaling a cliff in Death Valley, California. The robot uses special gripping technology that has helped lead to a series of new, off-roading robots that can explore other worlds.Credit: NASA/JPL-Caltech LEMUR was originally conceived as a repair robot for the International Space Station.


1969 moon landing was a giant leap for moviemakers, too

The Japan Times

NEW YORK - In 1964, Stanley Kubrick, on the recommendation of the science-fiction author Arthur C. Clarke, bought a telescope. "He got this Questar and he attached one of his cameras to it," said Katharina Kubrick, the filmmaker's stepdaughter. "On a night where there was a lunar eclipse, he dragged us all out onto the balcony and we were able to see the moon like a big rubber ball. I don't think I've seen it as clearly since. He looked at it all the time."


New, more agile robots speed takeover of jobs once done only by humans

The Japan Times

DALLAS - At a vast greenhouse in the central Danish city of Odense, a squad of robots move thin plastic pots of herbs for shipping without even putting a dent in them. For moviegoers used to seeing humanoid machines in action, that might not seem special -- but in truth, it is a remarkable feat. Robots until recently have been limited to precise, preprogrammed and repetitive heavy-duty jobs like automotive manufacturing. Yet at the Rosborg Food greenhouse, the OnRobot devices adjust on the fly. One pot might be slightly out of position.


Israel issues warning of a new type of cyber attack - Technology news to help entrepreneurs grow and secure their business!

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Israel issued a warning warning of a new type of cyber attack, using artificial intelligence (AI) technology to impersonate senior company executives. In this method, instructions are given to the companies staff members to perform transactions such as money transfer to perform transactions such as money transfers, as well as malicious activity on the company's network. How are you protecting your office from such attacks?


Russia's terrifying new 'superweapon' revealed

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The Commander-in-Chief of Russia's air force Viktor Bondarev has told a gathering at the MAKS-2017 international airshow his aircraft would soon be getting cruise missiles with artificial intelligence capable of analysing its environment and opponents and make "decisions" about altitude, speed, course -- and targets. "Work in this area is underway," Russian news agency TASS reports Tactical Missiles Corporation CEO Boris Obnosov as adding. "As of today, certain successes are available, but we'll still have to work for several years to achieve specific results." While neither indicated which missiles were slated to get such enhanced artificial intelligence, there are two apparent contenders among the "super weapons" President Vladimir Putin bragged about last year: the "Avangard" hypersonic glide vehicle and the "Burevestnik" nuclear-powered cruise missile. RELATED: Why the world's most holy place sends people crazy RELATED: Earth's magnetic pole is on the move and we don't know why Much modern weaponry is already capable of making choices -- such as the automated Gatling guns designed to react and shoot-down incoming missiles in the blink of an eye.


USDA awards grant to research from ASU that uses machine learning to reduce food waste

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Nearly a third of the world's food supply gets thrown out -- from produce surplus in farmers' fields to expired products discarded by retailers to leftovers. That's the issue Timothy Richards, the Morrison Chair of Agribusiness in the W. P. Carey School of Business at Arizona State University, will be trying to solve with a new grant from the USDA's Agriculture and Food Research Initiative (NIFA). "Food waste occurs at virtually all stages of the supply chain from the farmer to the retailer to the consumer -- resulting in the disposal of potentially usable food in nearly every sector of the food system in the distribution channel between farmers and consumers," Richards said. The goal of the research is to combine grocers' inventory with machine learning algorithms to develop a better system for matching supply to consumer demand fluctuations. This would ensure customers get what they want without the need for excess food.


First ever consensus on Artificial Intelligence and Education published by UNESCO

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UNESCO has published the Beijing Consensus on Artificial Intelligence (AI) and Education, the first ever document to offer guidance and recommendations on how best to harness AI technologies for achieving the Education 2030 Agenda. It was adopted during the International Conference on Artificial Intelligence and Education, held in Beijing from 16 โ€“ 18 May 2019, by over 50 government ministers, international representatives from over 105 Member States and almost 100 representatives from UN agencies, academic institutions, civil society and the private sector. The Beijing Consensus comes after the Qingdao Declaration of 2015, in which UNESCO Member States committed to efficiently harness emerging technologies for the achievement of SDG 4. Ms Stefania Giannini, Assistant Director-General for Education at UNESCO, stated that ''we need to renew this commitment as we move towards an era in which artificial intelligence โ€“ a convergence of emerging technologies โ€“ is transforming every aspect of our lives (โ€ฆ) we need to steer this revolution in the right direction, to improve livelihoods, to reduce inequalities and promote a fair and inclusive globalization.'' The Consensus affirms that the deployment of AI technologies in education should be purposed to enhance human capacities and to protect human rights for effective human-machine collaboration in life, learning and work, and for sustainable development. The Consensus states that the systematic integration of AI in education has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. In summary, the Beijing Consensus recommends governments and other stakeholders in UNESCO's Member States to: The Consensus also details its ambitions for UNESCO to act as a support system for the capacity building of education policy-makers to implement the recommended measures, and to act as a convener for financing, partnership and international cooperation together with other international organizations and partners active in the field of AI in education.


Artificial Intelligence And The Challenge Of Global Governance

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Apple Park, the corporate HQ of Apple Inc., located in California. Digitalization is evolving from an economic challenge to a governance and political problem. Some studies suggest that by 2030, Artificial Intelligence (AI) might contribute up to EUR 13.33 trillion to the global economy (more than the current output of China and India combined). The essence of the political conflict that raises the issue of global governance is what type of actor (a state or a digital corporation) will lead this process, creating global asymmetry in terms of trade, information flows, social structures and political power. This means challenging the international system as we know it. AI is generating new large-scale systems based on (1) services (such as traffic management and smart vehicles, international banking systems, and new healthcare ecosystems); (2) global value chains, the Internet of things (IoT) and robotics (Industry 4.0); and (3) electronics with a new generation of microprocessors and highly specialized chips.


Measuring the Transferability of Adversarial Examples

arXiv.org Machine Learning

Adversarial examples are of wide concern due to their impact on the reliability of contemporary machine learning systems. Effective adversarial examples are mostly found via white-box attacks. However, in some cases they can be transferred across models, thus enabling them to attack black-box models. In this work we evaluate the transferability of three adversarial attacks - the Fast Gradient Sign Method, the Basic Iterative Method, and the Carlini & Wagner method, across two classes of models - the VGG class(using VGG16, VGG19 and an ensemble of VGG16 and VGG19), and the Inception class(Inception V3, Xception, Inception Resnet V2, and an ensemble of the three). We also outline the problems with the assessment of transferability in the current body of research and attempt to amend them by picking specific "strong" parameters for the attacks, and by using a L-Infinity clipping technique and the SSIM metric for the final evaluation of the attack transferability.


US Air Force to Begin First Tests on New AI Algorithms For Skyborg Program

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The tests, set to take place at Edwards Air Force Base in Kern County, California, are expected to be conducted on a "small, but representative high-speed surrogate aircraft," Cara Bousie, the service's spokesperson, told Aviation Week. Although Bousie steered clear of offering any additional details regarding the looming tests, she did indicate that the move is part of a two-year campaign for the department to determine just how the technology will perform in a controlled setting. Will Roper, assistant secretary of the Air Force for acquisition, previously revealed in a March interview that aircraft candidates that may be used during the summer trials include the Kratos XQ-58A Valkyrie, Composite Engineering BQM-167 Skeeter and Boeing QF-16. Disclosed to the public just in March, the Skyborg program's objective is to deliver a combat-ready, autonomous, unmanned aerial vehicle prototype by the end of 2023. The aircraft is expected to act as a robotic wingman for service members, using its AI tech to manage combat mission tasks on its own when the need arises.