Lifeboat Foundation

Mobile phones have become commonplace. Modern communication devices like mobile phones need to exchange huge amounts of information. However, what is hidden underneath the elegantly shaped plastic casings is quickly forgotten: Complex signal processors constantly fighting against noise and steadily adapting themselves to changing environment.

But noise and changing environmental conditions do not only affect electrical circuits. In synthetic biology scientists are facing similar problems. However, in synthetic biology a methodology to deal with noise does not exist yet. Prof. Mustafa Khammash and Christoph Zechner of the Department of Biosystems Science and Engineering have studied how conventional signal processors can be translated into biochemical processes — built and operated inside living cells.

A major limitation in engineering biological circuits is that host cells — even if they are genetically identical — are never the same. For instance, cell A might be in a different cell-cycle stage or have more ribosomes available than cell B. Therefore, the same synthetic circuit may behave very differently in each of these two cells. In extreme cases, only a small fraction of cells might show the correct behavior, while the remaining cells act unpredictably. This is referred to as context-dependency.

There’s a saying among futurists that a human-equivalent artificial intelligence will be our last invention. After that, AIs will be capable of designing virtually anything on their own — including themselves. Here’s how a recursively self-improving AI could transform itself into a superintelligent machine.

When it comes to understanding the potential for artificial intelligence, it’s critical to understand that an AI might eventually be able to modify itself, and that these modifications could allow it to increase its intelligence extremely fast.

Once sophisticated enough, an AI will be able to engage in what’s called “recursive self-improvement.” As an AI becomes smarter and more capable, it will subsequently become better at the task of developing its internal cognitive functions. In turn, these modifications will kickstart a cascading series of improvements, each one making the AI smarter at the task of improving itself. It’s an advantage that we biological humans simply don’t have.

Continue reading “How Artificial Superintelligence Will Give Birth To Itself” »

IARPA is hosting a Proposers’ Day for businesses in a couple weeks.

For robots; the bigger question where is the bigger ROI? Robots trying to be built to out do people; or is it better to enhance people? DARPA is more focused on enhancing people such as soldiers; and I agree with DARPA.

Understanding the hierarchical structure of biological networks like human brain — a network of neurons — could be useful in creating more complex, intelligent computational brains in the fields of artificial intelligence and robotics, says a study.

Like large businesses, many biological networks are hierarchically organised, such as gene, protein, neural, a…

Continue reading “Biological networks can boost artificial intelligence” »

Researchers at the University of Manchester, UK have made the first autonomous chemically powered synthetic small-molecule motor. The new device, which is very much like the protein motors found in biological cells, might be used to design artificial molecular machines similar to those found in nature. Such machines could be important for applications such as synthetic muscles, nano- and micro-robots and advanced mechanical motors.

READ MORE ON IOP | NANOTECHWEB

The ability to track molecular events inside the cells of living organisms offers a powerful window into fundamental biological processes, but methods for visualizing RNA in vivo without interfering with cell processes have been elusive. Now, researchers have developed a light-induced chemical reaction that accomplishes this feat in live zebrafish embryos (ACS Cent. Sci. 2016, DOI: 10.1021/acscentsci.6b00054). It is the first technique for detecting specific strings of nucleic acids in live vertebrates that doesn’t require genetically modifying the organism. What’s more, it’s sensitive enough to visualize the expression of microRNAs, small noncoding RNAs that act as puppetmasters of gene expression.

To do the reaction, chemical biologist Nicolas Winssinger, biochemist Marcos Gonzalez-Gaitan, and their colleagues at the University of Geneva designed two nucleic acid probes that each complement and bind to adjacent halves of a target microRNA sequence. The researchers conjugated one probe to a ruthenium complex that absorbs visible light and the other to a fluorogenic rhodamine that lights up when its azide bonds are cleaved. When the probes attach to the target sequence, the two reagents come close enough to react. Shining a light on the sample activates the ruthenium which then reduces the azide in the rhodamine conjugate, releasing its fluorescence. The dependence on external light allows researchers to control when the reporting reaction happens, Winssinger explains.

The team first developed the system three years ago (Chem. 2013, DOI: 10.1002/chem.201300060) for use in cultured cells; here, they adapted it for use in just-fertilized zebrafish embryos. “That’s really not trivial,” says Winssinger. The probes had to be nontoxic, stable for a day or more, and powerful enough to work even after being diluted through cell division.

Continue reading “Chemical reaction lights the way for tracking microRNA in living organisms” »

Now biology classes can observe development while still keeping the chick alive!

The clip is a segment from Japanese educational TV show “Gatten” that aired 05.18.2016. Captions, appropriately, by Spoon & Tamago (tamago means ‘egg’ in Japanese)

Good for him.

A new company launched Monday by former NASA chief Dan Goldin aims to deliver a major boost to the field of neural computing.

KnuEdge’s debut comes after 10 years in stealth; formerly it was called Intellisis. Now, along with its launch, it’s introducing two products focused on neural computing: KnuVerse, software that focuses on military-grade voice recognition and authentication, and KnuPath, a processor designed to offer a new architecture for neural computing.

Continue reading “A former NASA chief just launched this AI startup to turbocharge neural computing” »

BOSTON, June 3 (UPI) — Until now, synthetic biological systems have focused exclusively on either analog or digital computation. Researchers at MIT have devised a technique for creating cellular gene circuits capable of complex computation.

Analog computation, also called continuous computation, is the type of processing happening as the human eye adjusts to changing light conditions. Digital computation involves binary decision making, on or off processes.

The new synthetic cellular circuitry designed by MIT scientists performs like a comparator, receiving analog input signals and converting them into digital output signals.

Continue reading “Scientists build gene circuits capable of complex computation” »