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Category: robotics/AI

Now, we’re hitting Terminator mode with this.

If you’re worried that artificial intelligence will take over the world now that computers are powerful enough to outsmart humans at incredibly complex games, then you’re not going to like the idea that someday computers will be able to simply build their own chips without any help from humans. That’s not the case just yet, but researchers did come up with a way to grow metal wires at a molecular level.

At the same time, this is a remarkable innovation that paves the way for a future where computers are able to create high-end chip solutions just as a plant would grow leaves, rather than having humans develop computer chips using complicated nanoengineering techniques.

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Researchers from IBM’s T.J. Watson Researcher Center are working to create wires that would simply assemble themselves in chips. The scientists use a flat substrate loaded with particles that encourage growth, and then add the materials they wish to grow the wire from.

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Specifically, artificially intelligent computers…

As sophisticated algorithms can complete tasks we once thought impossible, computers are seeming to become a real threat to humanity. Whether they decide to pulp us into human meat paste, or simply make our work completely unnecessary, argues technology reporter Alex Hern, we should be afraid of computers.

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David Hanson’s best work yet.

They are getting really close to being passable for human. Now, it’s just a question of when they will stick a robot like ATLAS inside of something like this so it can walk around, talk, and look like a person. That will happen around 2020’ish..

Meet Sophia. Hanson Robotics human-like robot that may embody the androids of our future.

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March 16th, 2016 Editors Nanomedicine

Biologically powered robots may one day be used to perform surgical procedures, deliver drugs, and maybe to even make humanoid overlords for us mortals. A big step toward that was taken by researchers at University of Illinois at Urbana-Champaign who used light-activated muscle cells as the power source to make tiny bio-bots.

biobotThe optogenetic technique published in Proceedings of the National Academy of Sciences relies on genetically engineered mouse muscle cells that were made to contract in response to blue light. Rings of these cells were placed around a 3D printed flexible rods of different lengths between two and seven millimeters. When light was illuminated over the mechanism, the biobots contracted and walked in a certain direction. Various lengths and configurations were tried to achieve the best walking results. Moreover, the researchers were able to change the direction of the walking bio-bot.

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Even if we don’t create a true AI for a thousand years, these algorithms, pared with our exponentially increasing computing power, could have much of the same effect on our civilization as the more traditional, AI-centric type Singularity. Very, very soon.

A schematic diagram of machine learning for materials discovery (credit: Chiho Kim, Ramprasad Lab, UConn)

Replacing inefficient experimentation, UConn researchers have used machine learning to systematically scan millions of theoretical compounds for qualities that would make better materials for solar cells, fibers, and computer chips.

Led by UConn materials scientist Ramamurthy ‘Rampi’ Ramprasad, the researchers set out to determine which polymer atomic configurations make a given polymer a good electrical conductor or insulator, for example.

A polymer is a large molecule made of many repeating building blocks. The most familiar example is plastics. What controls a polymer’s properties is mainly how the atoms in the polymer connect to each other. Polymers can also have diverse electronic properties. For example, they can be very good insulators or good conductors. And what controls all these properties is mainly how the atoms in the polymer connect to each other.

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Let’s step back and consider the broader digital technology landscape for one moment. We have built our past, current, and new technology off of a digital foundation with machine language of standard not very complex algorithms that processes 0s & 1s which has been around since the 50’s. So, not too shock by this article; in fact we may not see a major leap in Humanoid Robots possibly until Quantum hits the mainstream. Quantum holds a lot of promise; however, it’s still too early to know for sure.

Artificial intelligence may be coming to your IT department sooner than you think, but not the way you might imagine.

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ARPA-E creating sustainable energy crops for the production of renewable transportation fuels from biomass.

In Washington, the DOE’s ARPA-E TERRA projects seek to accelerate the development of sustainable energy crops for the production of renewable transportation fuels from biomass. To accomplish this, the projects uniquely integrate agriculture, information technology, and engineering communities to design and apply new tools for the development of improved varieties of energy sorghum. The TERRA project teams will create novel platforms to enhance methods for crop phenotyping (identifying and measuring the physical characteristics of plants) which are currently time-intensive and imprecise.

The new approaches will include automated methods for observing and recording characteristics of plants and advanced algorithms for analyzing data and predicting plant growth potential. The projects will also produce a large public database of sorghum genotypes, enabling the greater community of plant physiologists,

Bioinformaticians and geneticists to generate breakthroughs beyond TERRA. These innovations will accelerate the annual yield gains of traditional plant breeding and support the discovery of new crop traits that improve water productivity and nutrient use efficiency needed to improve the sustainability of bioenergy crops.

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https://youtube.com/watch?v=hX0UELNRR1I

A few weeks ago DJI unveiled its newest drone, the Phantom 4, the first craft to offer robust obstacle avoidance at a price the average consumer can afford. It relied on computer vision to power its autonomous flight, and since DJI had shown off this kind of tech before, we assumed that all the hardware on the Phantom 4 was homegrown, or backed by a giant like Intel. But today the chipmaker Movidius announced that its latest offer, the Myriad 2, was at the center of the onboard processor powering the Phantom 4’s incredible new abilities.

As it turns out this isn’t the first time Movidius has partnered with a big name to develop cutting edge technology. Back in 2014 its first chip, the Myriad 1, was revealed as the brains inside of Google’s first generation of Project Tango tablets. After a decade toiling in relative obscurity, the small 125 person company is suddenly poised to emerge as a leader at the intersection of several major markets — from drones to phones to virtual reality — which are looking for ways to enable cheap, power-efficient computer vision.

“The company was founded in late 2005, so we’ve had a long gestation,” says CEO Remi El-Ouazzane with a laugh. In its early years it found some business converting old movies into 3D, helping to shore up content offerings for the 3D TV market that never took off. In 2010 its chips were put to use as an engine for 3D rendering, but it was competing with plenty of established chip makers in that market. It wasn’t until 2013, and its partnership with Tango, that the company realized how widespread the application of computer vision could be, and focused in on optimizing for what it believed would be the next wave of devices.

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The legendary hacker George Hotz, known by his nom de guerre “geohot,” who first came to public attention by hacking Apple’s (AAPL) first iPhone, spoke this morning at the South by Southwest conference about taking on Tesla’s (TSLA) self-driving car initiatives with his own garage efforts, a talk titled “I built a better self-driving car than Tesla.”

By the end of the talk, it was clear he had numerous targets, including Alphabet’s (GOOGL) self-driving car efforts, despite mighty respect for the search giant.

Hotz’s achievement, rigging up home made parts to an Acura ILX to make it self-driving, first came to prominence with an article in mid-December by Bloomberg’s Ashlee Vance.

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