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Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge…


Lifelong-DNN™ (Lifelong-Deep Neural Networks), Neurala’s Patent-Pending Software, Overcomes Catastrophic Forgetting—the #1 Problem Limiting the Growth of Deep Learning Neural Networks for Real-Time Use

SAN JOSE, CA —May 8, 2017— Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge. The new patent-pending approach means that for the first time a self-driving car can be personalized by each owner or dealer to a specific neighborhood; a parent can teach a toy to recognize a child, without infringing on privacy; and industrial machines can be updated in the field for specific tasks.

Until now, if an AI system had learned a certain number of objects and needed to learn one more, it would have to be retrained on all of the objects. This traditional method requires using powerful servers that are often located in the cloud. Neurala Lifelong Deep Neural Networks (L-DNN) enable learning of the incremental object on the edge.

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Future of farming? Driverless tractors and drones attempt to grow crops without humans setting foot on the land in a world first…


Drones are also being used to monitor the crops so agronomists don’t have to enter the field to carry out their observations.

The team from the Harper Adams University in Shropshire believe their research will revolutionise farming and free up the time of farmers.

Johnathan Gill, Kit Franklin and Martin Abell are using small-scale machinery that is already available on the market including a 38bhp Iseki TLE 3400 compact tractor and adapting these in the university’s engineering labs.

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Artificial intelligence and drones will be key policing tools in the future amid budget and job cuts, Gwent Police’s chief constable has said.

Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs “that do not involve emotion”.

Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011.

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For people in that area, and it may be worth while to try reaching out to them for funding for anti aging stuff.


Why is RAND opening a Bay Area office?

The San Francisco Bay Area is really at the center of technology and transformation. That’s also been a focus at RAND since our very first report, Preliminary Design of an Experimental World-Circling Spaceship, in 1946, which foretold the creation of satellites more than a decade before Sputnik.

Today, our researchers are working on important questions related to autonomous vehicles, drones, cybersecurity, education technology, virtual medicine—the same questions driving Silicon Valley startups and billion-dollar Bay Area corporations. At the same time, we’re looking at issues surrounding social inequality, drug policy, water resource management, and transportation, all of which directly relate to the Bay Area.

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Amazon is using a “simulated dog” to test its delivery drones, according to IBTimes.

The e-commerce giant wants to use drones to deliver parcels to customers in less than 30 minutes but it clearly has some concerns about how dogs might interfere.

At least one simulated dog is being used to “help Amazon see how UAVs [unmanned aerial vehicles] would respond to a canine trying to protect its territory,” according to IBTimes.

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The US wants to stay in front of China with hypersonic weapons able to travel at five-times the speed of sound and destroy targets with a “kinetic energy” warhead.

Air Force weapons developers expect to operate hypersonic intelligence, reconnaissance and surveillance drones by the 2040s, once scientific progress with autonomy and propulsion technology matures to a new level.

The advent of using a recoverable drone platform able to travel at high altitudes, faster than Mach 5, will follow the emergence of hypersonic weapons likely to be operational in the mid-2020s, according to the Air Force Chief Scientist Geoffrey Zacharias.

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