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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Enter our new 3D NAND technology, which uses an innovative process architecture to provide 3X the capacity of planar NAND technologies while providing better performance and reliability.

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Imagine if things like undersea cables or medical implants could simply heal themselves back together if severed – it would certainly be easier than having to go in and fix them. Well, scientists at Pennsylvania State University are bringing such a possibility closer to reality. They’ve created a moldable polymer that heals itself when exposed to water – and it’s based on squid sucker ring teeth.

Led by Prof. Melik Demirel, the researchers started by studying sucker ring teeth collected from squid in various locations around the world. Although the exact composition of the teeth varied between species, it was found that the same proteins which allow them to self-heal were always present.

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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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Great news. It’ll be fascinating to see what they discover.

In the distant reaches of the Universe, exploding stars and supermassive black holes are bending the very fabric of spacetime. It’s hard to wrap our brains around such tremendous forces, but we may be able to quantify them, in the form of gravitational waves. A new European Space Agency mission marks humanity’s first bold attempt to do so in outer space.

This fall, the ESA’s LISA Pathfinder will be blasted into space on a course for the L1 Lagrange point. Situated nearly a million miles from Earth, it’ll begin pilot-testing fundamental technologies for the detection of elusive gravitational waves. The miniature science observatory bid farewell to the public this week, on display at a test centre in Ottobrunn, Germany for the last time before its long journey.

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Intel today announced plans to invest $50 million over the next ten years as part of a quantum computing push to help solve problems such as “large-scale financial analysis and more effective drug development.”

But despite the ambitions and huge cost of the project, company vice president Mike Mayberry admits that “a fully functioning quantum computer is at least a dozen years away.”

The money will be channeled through QuTech, the quantum research institute of Delft University of Technology, and TNO, with Intel additionally pledging to commit its own “engineering resources” to the collaborative effort.

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Intel has taken the lid off its next-generation Skylake mobile chips. Fat L4 caches are coming to a lot more mobile hardware.

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