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Category: robotics/AI

Powered by developments in exponential technologies, the cost of housing, transportation, food, health care, entertainment, clothing, education and so on will fall, eventually approaching, believe it or not, zero.

People are concerned about how AI and robotics are taking jobs, destroying livelihoods, reducing our earning capacity, and subsequently destroying the economy.

In anticipation, countries like Canada, India and Finland are running experiments to pilot the idea of “universal basic income” — the unconditional provision of a regular sum of money from the government to support livelihood independent of employment.

But what people aren’t talking about, and what’s getting my attention, is a forthcoming rapid demonetization of the cost of living.

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Mercedes-Benz’s CityPilot autonomous bus technology just got a real-world, long-range test drive on the streets and highways of the Netherlands. One of the company’s Future Bus vehicles successfully followed a 20km Bus Rapid Transit route between Amsterdam’s Schiphol airport and the nearby town of Haarlem, navigating through tight turns, intersections and pedestrian areas all without the need for human input.

The CityPilot platform is based on a version of Daimler’s Highway Pilot autonomous trucking technology adapted to handle the specific needs of a city bus. With GPS, radar and a dozen cameras built into the vehicle itself, the bus can recognize traffic signals, pedestrians and other obstacles. The bus has a top speed of 70km/h (or about 43 mph) and all that data taken together allows the bus to position itself within inches of bus stops or raised accessibility platforms.

Although regulations still require a human operator sit behind the wheel in case of an emergency, the vehicle’s intelligent systems make for a much smoother ride for everyone. Unlike other autonomous vehicles, the bus is actually connected to the city network so it can communicate directly with traffic lights and other city infrastructure. The camera systems can even scan the road for potholes, so buses can avoid rough patches on their next run or share that data back to the city.

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If there’s one thing the world’s most valuable companies agree on, it’s that their future success hinges on artificial intelligence.

Google is continuing to invest heavily in deep learning at a time its head of machine learning, John Giannandrea, is calling the artificial intelligence spring (as opposed to the AI winter of earlier times). The company’s Founders’ letter this year mentions machine learning up to five times, leaving no doubt that it believes its advantages in this area will give it the edge in the coming years. In short, CEO Sundar Pichai wants to put artificial intelligence everywhere, and Google is marshaling its army of programmers into the task of remaking itself as a machine learning company from top to bottom.

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About 5 years ago a friend of mine at Microsoft (Mitch S.) had a vision of making a new security model around drone swarms and a form of BMI technology. Glad to see the vision come true.

Scientists have discovered how to control multiple robotic drones using the human brain, an advance that can help develop swarms of search and rescue drones that are controlled just by thought.

A controller wears a skull cap outfitted with 128 electrodes wired to a computer. The device records electrical brain activity. If the controller moves a hand or thinks of something, certain areas light up. “I can see that activity from outside. Our goal is to decode that activity to control variables for the robots,” said Panagiotis Artemiadis, from the Arizona State University in the US. If the user is thinking about spreading the drones out, we know what part of the brain controls that thought, Artemiadis said.

A wireless system sends the thought to the robots. “We have a motion-capture system that knows where the quads are, and we change their distance,” he said. Up to four small robots, some of which fly, can be controlled with brain interfaces. To make them move, the controller watches on a monitor and thinks and pictures the drones performing various tasks.

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Perfect; I actually was thinking about robots as personal trainers and sparring partners for boxers. I love boxing as a workout and had thought about having a robot as a sparring partner as well as my weight/ strength training.

BTW — another concept is to build into the weight training machines AI technology to assist users. Think about if the machine sensors that the users’ muscle is about to strain that the machine takes the weight off or lightens the weight on the user of the equipment. And, if the machine senses that the person is about to have an heart attack, etc. that the equipment contacts 911, etc.

Trials of a prototype robot for sports therapy have just begun in Singapore, to create a high quality and repeatable treatment routine to improve sports recovery, reducing reliance on trained therapists.

The robot named Emma, short for Expert Manipulative Massage Automation, has already treated 50 patients in trials including professional athletes for conditions ranging from tennis elbows, stiff neck and shoulders, to lower back pain.

Emma is a robotic arm that comes with a 3D stereoscopic camera and a custom made 3D-printed massage tip. It uses sensors and diagnostic functions to measure the response of a patient and the stiffness of a particular muscle or tendon. The detailed diagnostics are analysed and uploaded to the cloud so the patient’s recovery can be closely monitored over time.

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Researchers at Case Western Reserve University have combined tissues from a sea slug with flexible 3D printed components to build “biohybrid” robots that crawl like sea turtles on the beach.

A muscle from the slug’s mouth provides the movement, which is currently controlled by an external electrical field. However, future iterations of the device will include ganglia, bundles of neurons and nerves that normally conduct signals to the muscle as the slug feeds, as an organic controller.

The researchers also manipulated collagen from the slug’s skin to build an organic scaffold to be tested in new versions of the robot.

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DARPA’s newest Anti-Submarine Warfare Continuous Trail Unmanned Vessel (ACTUV) can travel on the high seas at speeds up to 27 knots for months on end without a single crew member.

DARPA's New Robot Is Ready to Go Submarine Hunting

The 39.62m ACTUV can be remote-controlled, but its primary use is as an autonomous vessel that can operate safely near manned ships and accommodate all weather conditions. No crew means greater safety for potentially dangerous missions like countermining and submarine tracking.

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SpaceX has successfully landed another Falcon 9 rocket after launching the vehicle into space this evening from Cape Canaveral, Florida. Shortly after takeoff, the vehicle touched down at SpaceX’s Landing Complex 1 — a ground-based landing site that the company leases at the Cape. It marks the second time SpaceX has pulled off this type of ground landing, and the fifth time SpaceX has recovered one of its rockets post-launch. The feat was accomplished a few minutes before the rocket’s second stage successfully put the company’s Dragon spacecraft into orbit, where it will rendezvous with the International Space Station later this week.

It’s also the first time this year SpaceX has attempted to land one of its rockets on land. For the past six launches, each rocket has tried landing on an autonomous drone ship floating in the ocean. That’s because drone ship landings require a lot less fuel to execute than ground landings (something we explain here). If a rocket has to accelerate super fast during launch — such as those going to high orbits or ones carrying heavy payloads — it uses up a lot of fuel during the initial takeoff. That leaves less fuel for the rocket to land back on Earth, which means a drone ship landing is sometimes the only option. But for this launch, the mission requirements allowed for a successful landing on ground.

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