Lifeboat Foundation

A few lines in a seemingly routine RAND Corp. report on the future of technology and law enforcement last week raised a provocative question: Should police have the power to take control of a self-driving car?

Human drivers are required to pull over when a police officer gestures for them to do so. It’s reasonable to expect that self-driving cars would do the same. To look at it another way: Self-driving cars are programmed to stop at red lights and stop signs. Surely they should also be programmed to stop when a police officer flags them down. It is, after all, the law.

It’s clear, then, that police officers should have some power over the movements of self-driving cars. What’s less clear is where to draw the line. If a police officer can command a self-driving car to pull over for his own safety and that of others on the road, can he do the same if he suspects the passenger of a crime? And what if the passenger doesn’t want the car to stop—can she override the command, or does the police officer have ultimate control? – Slate, Aug. 24, 2015

Continue reading “Will Your Car Obey You or the Police?” »

A small, Santa Fe, New Mexico-based company called Knowm claims it will soon begin commercializing a state-of-the-art technique for building computing chips that learn. Other companies, including HP HPQ and IBM IBM, have already invested in developing these so-called brain-based chips, but Knowm says it has just achieved a major technological breakthrough that it should be able to push into production hopefully within a few years.

The basis for Knowm’s work is a piece of hardware called a memristor, which functions (warning: oversimplification coming) by mimicking synapses in the brain. Rather than committing certain information to a software program and traditional computing memory, memristors are able to “learn” by strengthening the electrical charge between two resistors (the “ristor” part of memristor) much like synapses strengthen connections between commonly used neurons in the brain.

Done correctly—and this is the result that HP and IBM are after—memristors can make computer chips much smarter, but also very energy efficient. That could mean data centers that don’t use as much energy as small towns, as well as more viable robotics, driverless cars, and other autonomous devices. Alex Nugent, Knowm’s founder and CEO, says memristors—especially the ones his company is working on—offer “a massive leap in efficiency” over traditional CPUs, GPUs, and other hardware now used to power artificial intelligence workloads.

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The now-famous hoverboard company will work over the next few years to tug NASA’s tiny satellites.

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The brain of a honey bee uses about ~0.1mW of power. While the brain of a self driving car ~100W. That’s a power factor of about one million. We’ve got a very long way to go.

V1.0: A Network Edition is here! http://ow.ly/RAI4k.

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Optimus sublime.

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“Increasing automation limits the ability of authorities to profit off human error.”

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A Tesla Model S has reportedly been driven 452.8 miles (728.7 km) on a single charge in a feat that, according to driver Bjørn Nyland and the World Record Academy, sets a new world record for an electric production car.

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Castrol Edge & Video Games technologies: Racing a Real Car in Virtual Reality.

Castrol EDGE has premiered its latest Titanium Trial driving challenge, featuring Formula Drift professional Matt Powers driving his Roush Stage 3 Mustang whilst wearing a state-of-the-art Oculus Rift Development Kit 2 headset: blind to the real world around him, but fully-immersed in a rapidly changing 3D virtual world.

Continue reading “Racing Real Car in Virtual Reality — Castrol Edge & Video Games tech” »

Private aircraft tentatively seeking stockholders.

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