Lifeboat Foundation

(Phys.org)—Scientists have built tiny logic machines out of single atoms that operate completely differently than conventional logic devices do. Instead of relying on the binary switching paradigm like that used by transistors in today’s computers, the new nanoscale logic machines physically simulate the problems and take advantage of the inherent randomness that governs the behavior of physical systems at the nanoscale—randomness that is usually considered a drawback.

The team of researchers, Barbara Fresch et al., from universities in Belgium, Italy, Australia, Israel, and the US, have published a paper on the new nanoscale logic machines in a recent issue of Nano Letters.

“Our approach shows the possibility of a new class of tiny analog computers that can solve computationally difficult problems by simple statistical algorithms running in nanoscale solid-state physical devices,” coauthor Francoise Remacle at the University of Liege told Phys.org.

Model of the human genome.

A special nutrient must be fed to these bacteria or else they die off. Unless they find this selfsame nutrient in the environment, which Church says is unlikely, they would not be able to survive. Another fail-safe is a special barrier which has been erected to make it impossible for the bacteria to mate or reproduce, outside of the lab. But other experts wonder how “unbeatable” Church’s fail-safe’s actually are. Carr says that instead of discussing these measures as foolproof, we should be framing it in degrees of risk.

The next step is further testing of the artificial genes that have been made. Afterward, Church and colleagues will take this same genome and produce an entirely new organism with it. Since DNA is the essential blueprint for almost all life on earth, being able to rewrite it could give humans an almost god-like power over it. That capability is perhaps decades away. Even so, combined with gene editing and gene modification, and the idea of a race of super humans is not outside the realm of possibility.

Continue reading “Super Humans: Scientists Rewrote a Bacteria’s Genome From Scratch” »

This means we need new ways to grow food that are smarter and helps regulate our use of land, water and energy in order to feed the planet and avoid a global food crisis.

Researchers at Carnegie Mellon University’s Robotics Institute believe the answer lies in sensors, artificial intelligence (AI) and robots.

In a new initiative called FarmView, researchers are working to combine sensors, robotics and artificial intelligence to create a fleet of mobile field robots they hope will improve plant breeding and crop-management practices.

Continue reading “How Sensors, Robotics And Artificial Intelligence Will Transform Agriculture” »

IBM (IBM) has begun the deeper deployment of Watson to help fight cancer. Last month, the company announced a partnership with Jupiter Medical Center in Florida to enable oncologists to tap into Watson’s cancer knowledge to make the best cancer treatment decisions.

The deal with Jupiter marked the first step in bringing Watson to the fight against cancer at a US (SPY) community health facility.

Continue reading “Considering IBM’s Goals in Bringing Watson to the Cancer Fight” »

These technologies all have staying power. They will affect the economy and our politics, improve medicine, or influence our culture. Some are unfolding now; others will take a decade or more to develop. But you should know about all of them right now.

This amazing technique could regrow damaged teeth.

When you’re in a daydream, or “alpha,” state, your brainwaves are oscillating at a rate of 8 to 12 Hz.

Steven Kotler explains what happens in your brain at aha moments.

As I’m sure many in the technology industry have thought today, there should have been a way to avoid the Oscars Envelopegate. But, is artificial intelligence the answer to all of our human error problems? A recent Accenture report found that the introduction and further development of AI could boost labor productivity by 40% by 2035. It seems as if banks have already picked up on this, as was seen last year with RBS’ replacement of human employees with automated services. News announced this week also suggests that artificial intelligence will become a central part of anything a technology organisation will do in the future. Will we see the same in the financial technology sector?

The relationship between man and machine is expected to be the naissance of a type of work that could potentially double annual economic growth, according to Accenture. Chief technology officer Paul Daugherty highlighted that “AI is poised to transform business in ways we’ve not seen since the impact of computer technology in the late 20th century.” He went on to explain in the report that artificial intelligence, with the help of cloud computing and analytics, is already starting to change the way that people work.

The weekend saw the UK government announce that they are planning to launch a review into the value of robotics in the country’s aim to become world technology leader. £17.3 million would be invested into university research of AI technologies such as Apple’s Siri, Amazon’s Alexa and driverless cars, as reported by The Independent. The article also drew from the Accenture report and said that artificial intelligence could add around £654 billion to the UK economy.

Continue reading “Artificial Intelligence: Removing The Human From Fintech” »

From AlphaGo’s historic victory against world champion Lee Sedol to DeepStack’s sweeping win against professional poker players, artificial intelligence is clearly on a roll.

Part of the momentum comes from breakthroughs in artificial neural networks, which loosely mimic the multi-layer structure of the human brain. But that’s where the similarity ends. While the brain can hum along on energy only enough to power a light bulb, AlphaGo’s neural network runs on a whopping 1,920 CPUs and 280 GPUs, with a total power consumption of roughly one million watts—50,000 times more than its biological counterpart.

Extrapolate those numbers, and it’s easy to see that artificial neural networks have a serious problem—even if scientists design powerfully intelligent machines, they may demand too much energy to be practical for everyday use.

Continue reading “New Artificial Synapse Bridges the Gap to Brain-Like Computers” »