“There is no AI without robotics… This realization is often called the ‘embodiment problem’ and most researchers in AI now agree that intelligence and embodiment are tightly coupled issues. Every different body has a different form of intelligence, and you see that pretty clearly in the animal kingdom.”
Google DeepMind’s artificial intelligence AlphaGo is a big advance but it will not get us to strong 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.
Continue reading “Remarkable nanowires could let computers of the future grow their own chips” »
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.
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.
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.
The 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.
Continue reading “Light Activated Bio-Bots Powered by Live Muscle Cells (VIDEO)” »
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.
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.
Continue reading “Using machine learning to rationally design future electronics materials” »
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.
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.
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.
