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Category: robotics/AI – Page 1612

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Flying cars are fine — but why use a car when you can have a motorcycle instead? YC-backed startup JetPack Aviation wants to answer that question with the world’s first flying motorcycle, a personal aircraft dubbed “The Speeder,” a name that Star Wars fans will surely appreciate. Now, JetPack has raised a seed round of $2 million from investors indulging Draper Associates, Skype co-founder Jaan Tallinn, YC, Cathexis Ventures and a group of angels that it says will fund the development of the Speeder’s first functional prototype.

Back in March, JetPack revealed its plans for the Speeder, which it says will provide a fully stabilized ride that’s either pilot-controlled or fully autonomous. It can take off and land vertically, and reach top speeds of potentially over 400 MPH. There are no exposed rotors systems, which make it a lot safer and easier to operate than a lot of other VTOL designs and helicopters, and the company says it can also be refueled in less than 5 minutes, which is a dramatically shorter turnaround time for powering up versus an electric vehicle.

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“We are excited to partner with Hatzolah Air on the development of our CityHawk EMS vehicle,” says Rafi Yoeli, CEO of Urban Aeronautics. “Its compact size will enable it to land in the middle of a busy city street, making it a perfect fit for medical evacuation missions by dramatically decreasing the time it takes to arrive on-scene, treat and transport sick or injured patients to appropriate medical facilities.”

For those of you unfamiliar with the CityHawk, it’s much, much more than a few concept drawings. The vehicle has been in development since the company’s inception in 2001, and an unmanned version of the CityHawk has been flying successfully for at least a year. Successfully enough, at least, to merit an agreement of, “mutual exploration by Boeing and Tactical Robotics of Autonomous Unmanned VTOL aircraft based on Urban Aeronautics … unique Fancraft™ technology.”

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Frias-Martinez says CloudBank has allowed her to stretch her research dollars and, as a result, improve the quality and scope of her analyses. “For example, we started to do some experiments with an AWS database and the costs were much higher than we had expected,” she explains. “We submitted a ticket to their helpdesk and they quickly responded” with a full explanation of expenses and some money-saving alternatives.

Going the last mile

CloudBank was created to serve NSF grantees, starting with those funded by select CISE programs who have requested cloud computing. That pool is now tiny by design, but Norman expects demand to increase rapidly once NSF begins to make awards from this year’s program solicitations, the first that include CloudBank as an option. CloudBank could also serve as a template for a far larger, national cloud computing resource, part of a massive scale-up in cloud computing and artificial intelligence outlined in a law passed by Congress last week.

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Multi-domain operations, the Army’s future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the unpredictability of current training reinforcement learning policies so that they are more practically applicable to physical systems, especially ground robots.

These learning components will permit to reason and adapt to changing battlefield conditions, said Army researcher Dr. Alec Koppel from the U.S. Army Combat Capabilities Development Command, now known as DEVCOM, Army Research Laboratory.

The underlying adaptation and re-planning mechanism consists of learning-based policies. Making these policies efficiently obtainable is critical to making the MDO operating concept a reality, he said.

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“I can feel touching my daughter’s hand or touching my wife’s hand, or picking up a hollow eggshell without crushing it,” Anderson says of his work with Psyonic, a startup operating out of the University of Illinois’ Research Park, in Urbana-Champaign. Psyonic expects to provide commercial prostheses with pressure sensing next year, and ones with sensory feedback sometime after that.

Technology is on the threshold of turning the unthinkable into reality. Awkward, unfeeling prostheses are morphing into mind-controlled extensions of the human body that give their wearers a sense of touch and a greater range of motion.

Along with sensory feedback, Psyonic’s rubber and silicone prosthesis uses machine learning to give its wearers intuitive control. The Modular Prosthetic Limb from Johns Hopkins University promises to deliver “humanlike” strength, thought-controlled dexterity and sensation. It’s currently in the research phase. And Icelandic company Ossur is conducting preclinical trials on mind-controlled leg and foot prostheses. These and other advances could make it dramatically easier for amputees to perform the sorts of tasks most people take for granted.

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As we enter the next chapter of the digital age, data traffic continues to grow exponentially. To further enhance artificial intelligence and machine learning, computers will need the ability to process vast amounts of data as quickly and as efficiently as possible.

Conventional computing methods are not up to the task, but in looking for a solution, researchers have seen the light—literally.

Light-based processors, called photonic processors, enable computers to complete complex calculations at incredible speeds. New research published this week in the journal Nature examines the potential of photonic processors for artificial intelligence applications. The results demonstrate for the first time that these devices can process information rapidly and in parallel, something that today’s cannot do.

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