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Military’s new Mission Impossible style messaging.


The U.S. military needs new messaging technology that’s ultra-secure and self-destructs. Sound familiar?

Think SnapChat. That’s an important part of what the Defense Advanced Research Projects Agency (DARPA) is aiming to do via a request for proposals posted on a DOD Web page. In Phase III of the project, DARPA says it requires “a secure messaging system that can provide… one time eyes only messages,” among a host of other features. Similarly, SnapChat allows a message to be viewed for a short length of time (1 to 10 seconds) before it becomes inaccessible, the primary reason it has become such a popular messaging platform.

Beyond this, the larger objective for the military is to meet a “critical DoD need to develop a secure messaging and transaction platform.” The DARPA request for proposals is aimed at building a messaging platform that the military could use for secure communication ranging from procurement to intelligence.

What would you say if I told you that aging happens not because of accumulation of stresses, but rather because of the intrinsic properties of the gene network of the organism? I’m guessing you’d be like: surprised .

So, here’s the deal. My biohacker friends led by Peter Fedichev and Sergey Filonov in collaboration with my old friend and the longevity record holder Robert Shmookler Reis published a very cool paper. They proposed a way to quantitatively describe the two types of aging – negligible senescence and normal aging. We all know that some animals just don’t care about time passing by. Their mortality doesn’t increase with age. Such negligibly senescent species include the notorious naked mole rat and a bunch of other critters like certain turtles and clams to name a few. So the paper explains what it is exactly that makes these animals age so slowly – it’s the stability of their gene networks.

What does network stability mean then? Well, it’s actually pretty straightforward – if the DNA repair mechanisms are very efficient and the connectivity of the network is low enough, then this network is stable. So, normally aging species, such as ourselves, have unstable networks. This is a major bummer by all means. But! There is a way to overcome this problem, according to the proposed math model.

The model very generally describes what happens with a gene network over time – the majority of the genes are actually working perfectly, but a small number doesn’t. There are repair mechanisms that take care of that. Also, there are mechanisms that take care of defected proteins like heat shock proteins, etc. Put together all of this in an equasion and solve it, and bam! here’s an equasion that gives you the Gompertz law for all species that have normal aging, and a time independent constant for the negligibly senescent ones.

What’s the difference between those two aging regimes? The model suggests it’s the right combination of DNA repair efficiency and the combined efficiency of proteolysis and heat shock response systems, mediating degradation and refolding of misfolded proteins. So, it’s not the accumulation of damages that is responsible for aging, but rather the properties of the gene network itself. The good news is that even we are playing with a terrible hand at first, there is a chance we can still win by changing the features of our network and making it stable. For example, by optimizing misfolded protein response or DNA repair.

Another person this time DARPA (Arati Prabhakar) speaks about the truth on AI and it’s real world limitations.


The Pentagon’s R&D arm is heavily invested in driving the future of artificial intelligence and machine learning, but the program’s director warned the technology isn’t without its limitations.

May 02, 2016.

Board member Teri Takai told FedScoop that engagement from federal agencies is critical in order to meet FirstNet goals.

Making software immortal; Raytheon is trying to make it a reality.


CAMBRIDGE, Mass., May 2, 2016 /PRNewswire/ — A team led by Raytheon BBN Technologies is developing methods to make mobile applications viable for up to 100 years, despite changes in hardware, operating system upgrades and supporting services. The U.S. Air Force is sponsoring the four-year, $7.8 million contract under the Defense Advanced Research Projects Agency’s Building Resource Adaptive Software Systems program.

“Mobile apps are pervasive in the military, but frequent operating system upgrades, new devices and changing missions and environments require manual software engineering that is expensive and causes unacceptable delays,” said Partha Pal, principal scientist at Raytheon BBN. “We are developing techniques to eliminate these interruptions by identifying the way these changes affect application functionality and modifying the software.”

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The Illinois-based Northwestern University has utilized 3D printing technology to research a variety of vital applications, from 3D printing fuel cells to 4D printing materials on the nanoscale. Now, researchers from the prestigious institution are looking at 3D printing technology through a unique lens—a terahertz lens, to be exact. Generally unknown within the electromagnetic spectrum, hidden in between the more commonly known wavelengths of microwaves and infrared, lies the information-packed terahertz spectrum. The terahertz is not only a forgotten frequency, it’s also rarely studied, let alone well understood, yet it has high value in applications regarding imaging and communications.

One research group, led by Northwestern University’s Cheng Sun, has used metamaterials and a unique style of SLA technology called projection micro-stereolithography to manufacture a novel lens capable of working with terahertz frequencies. The 3D printed terahertz gradient-refractive index lens has better imaging capabilities than other commonly used lenses, and also enables researchers to make more advances with the relatively unknown world of the terahertz.

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A study performed at IRB Barcelona offers an explanation as to why the genetic code stopped growing 3,000 million years ago. This is attributed to the structure of transfer RNAs—the key molecules in the translation of genes into proteins. The genetic code is limited to 20 amino acids—the building blocks of proteins—the maximum number that prevents systematic mutations, which are fatal for life. The discovery could have applications in synthetic biology.

Nature is constantly evolving—its limits determined only by variations that threaten the viability of species. Research into the origin and expansion of the are fundamental to explain the evolution of life. In Science Advances, a team of biologists specialised in this field explain a limitation that put the brakes on the further development of the genetic code, which is the universal set of rules that all organisms on Earth use to translate genetic sequences of nucleic acids (DNA and RNA) into the that comprise the proteins that undertake cell functions.

Headed by ICREA researcher Lluís Ribas de Pouplana at the Institute for Research in Biomedicine (IRB Barcelona) and in collaboration with Fyodor A. Kondrashov, at the Centre for Genomic Regulation (CRG) and Modesto Orozco, from IRB Barcelona, the team of scientists has demonstrated that the genetic code evolved to include a maximum of 20 and that it was unable to grow further because of a functional limitation of transfer RNAs—the molecules that serve as interpreters between the language of genes and that of proteins. This halt in the increase in the complexity of life happened more than 3,000 million years ago, before the separate evolution of bacteria, eukaryotes and archaebacteria, as all organisms use the same code to produce proteins from genetic information.

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I am so glad to see this from Bill. Until we drastically improve the under pinning technology to an advance mature version of Quantum Computing; AI is not a threat in the non-criminal use. The only danger is when terrorists, drug cartels, and other criminals uses AI such as drones, robotics, bots, etc. to attack, burglarize, murder, apply their terror, etc.; and that is not AI doing these things on their own.


Munger, Gates on future of AI

Charlie Munger, Berkshire Hathaway vice-chairman shares his thoughts on American Express, Costco and IBM’s future working with artificial intelligence. And Bill Gates, explains why it will be a huge help.

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Ask an Information Architect, CDO, Data Architect (Enterprise and non-Enterprise) they will tell you they have always known that information/ data is a basic staple like Electricity all along; and glad that folks are finally realizing it. So, the same view that we apply to utilities as core to our infrastructure & survival; we should also apply the same value and view about information. And, in fact, information in some areas can be even more important than electricity when you consider information can launch missals, cure diseases, make you poor or wealthy, take down a government or even a country.


What is information? Is it energy, matter, or something completely different? Although we take this word for granted and without much thought in today’s world of fast Internet and digital media, this was not the case in 1948 when Claude Shannon laid the foundations of information theory. His landmark paper interpreted information in purely mathematical terms, a decision that dematerialized information forever more. Not surprisingly, there are many nowadays that claim — rather unthinkingly — that human consciousness can be expressed as “pure information”, i.e. as something immaterial graced with digital immortality. And yet there is something fundamentally materialistic about information that we often ignore, although it stares us — literally — in the eye: the hardware that makes information happen.

As users we constantly interact with information via a machine of some kind, such as our laptop, smartphone or wearable. As developers or programmers we code via a computer terminal. As computer or network engineers we often have to wade through the sheltering heat of a server farm, or deal with the material properties of optical fibre or copper in our designs. Hardware and software are the fundamental ingredients of our digital world, both necessary not only in engineering information systems but in interacting with them as well. But this status quo is about to be massively disrupted by Artificial Intelligence.

A decade from now the postmillennial youngsters of the late 2020s will find it hard to believe that once upon a time the world was full of computers, smartphones and tablets. And that people had to interact with these machines in order to access information, or build information systems. For them information would be more like electricity: it will always be there, and always available to power whatever you want to do. And this will be possible because artificial intelligence systems will be able to manage information complexity so effectively that it will be possible to deliver the right information at the right person at the right time, almost at an instant. So let’s see what that would mean, and how different it would be from what we have today.

I could tell you one scenario after another about Robots serving Robots, making robots, owning their own country, having their own military, etc. However, for me we’re still many, many decades off from this. However, we do have some situations that I have seen robots assembling other robots; however, they’re still requiring human engagement and oversight.


If that sounds like something you’re interested in.

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