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Definitely been seeing great research and success in Biocomputing; why I have been looking more and more in this area of the industry. Bio/ medical technology is our ultimate future state for singularity. It is the key that will help improve the enhancements we need to defeat cancer, aging, intelligence enhance, etc. as we have already seen the early hints already of what it can do for people, machines and data, the environment and resources. However, a word of caution, DNA ownership and security. We will need proper governance and oversight in this space.


undefined © iStock/ Getty Images undefined How much storage do you have around the house? A few terabyte hard drives? What about USB sticks and old SATA drives? Humanity uses a staggering amount of storage, and our needs are only expanding as we build data centers, better cameras, and all sorts of other data-heavy gizmos. It’s a problem scientists from companies like IBM, Intel, and Microsoft are trying to solve, and the solution might be in our DNA.

A recent Spectrum article takes a look at the quest to unlock the storage potential of human DNA. DNA molecules are the building blocks of life, piecing our genetic information into living forms. The theory is that we can convert digital files into biological material by translating it from binary code into genetic code. That’s right: the future of storage could be test tubes.

In April, representatives from IBM, Intel, Microsoft, and Twist Bioscience met with computer scientists and geneticists for a closed door session to discuss the issue. The event was cosponsored by the U.S. Intelligence Advanced Research Projects Activity (IARPA), who reportedly may be interested in helping fund a “DNA hard drive.”

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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.

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My new Psychology Today story on BREXIT and the EU:


Scientific innovation doesn’t just happen on its own. It takes stable economies, free societies, and open-minded governments. The best environment for science to thrive in is that of collaborating groups incentivized to communicate and cooperate with one another. This is precisely what the European Union is.

And now, more than ever, the union of Europe is needed—because we are crossing over into the transhumanist age, where radical science and technology will engulf our lives and challenge our institutions. Robots will take 75% of the jobs in the next 25 years. CRISPR gene editing technology will allow us to augment our intelligence, perhaps doubling our IQ. Bionic organs will stave off death, allowing 200 year lifespans.

The science and technology coming in just the next two decades will cause unprecedented challenges to humanity. Most of the world will get chip implants— I have one —to assist with quick payments, emergency tracking, and to replace archaic accessories like car keys. We’ll also all use genetic therapies to cure cancer, heart disease, Alzheimer’s, and even aging. And robots will be ubiquitous—driving us everywhere, homeschooling our children, and maybe even becoming preferred sexual partners.

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(Phys.org)—Inspired by natural selection and the concept of “survival of the fittest,” genetic algorithms are flexible optimization techniques that can find the best solution to a problem by repeatedly selecting for and breeding ever “fitter” generations of solutions.

Now for the first time, researchers Urtzi Las Heras et al. at the University of the Basque Country in Bilbao, Spain, have applied genetic algorithms to digital and shown that genetic algorithms can reduce quantum errors, and may even outperform existing optimization techniques. The research, which is published in a recent issue of Physical Review Letters, was led by Ikerbasque Prof. Enrique Solano and Dr. Mikel Sanz in the QUTIS group.

In general, quantum simulations can provide a clearer picture of the dynamics of systems that are impossible to understand using conventional computers due to their high degree of complexity. Whereas computers calculate the behavior of these systems, quantum simulations approximate or “simulate” the behavior.

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Excellent!!! Cannot wait until we eradicate cancer, MS, Parkinson, Dystonia, Cystic-Fibrosis, LGD, etc.


A team of Physicians at the University of Pennsylvania’s School of Medicine now has their project of modifying the immune cells of 18 different cancer patients with the CRISPR-Cas9 system approved by the National Institute of Health.

CRISPR is the gift that keeps on giving—when it’s not fighting blindness, tackling HIV, or even recording real-time immune responses, it is taking on the emperor of all maladies: cancer.

But what’s even more fascinating about this use of CRISPR is that the National Institute of Health’s (NIH) Recombinant DNA Research Advisory Committee (RAC) has approved the first-ever use of CRISPR in human cancer therapy, a monumental step in the history of the gene-editing technology.

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Scientists are one step closer to using CRISPR gene editing on humans, with a US federal advisory panel approving the use of the technique for a study led by the University of Pennsylvania.

The scientists are seeking to use the CRISPR-Cas9 technique to create genetically altered T cells – white blood cells that play an important role in our immune system – that are more effective at fighting cancer cells in patients with melanoma, multiple myeloma, and sarcoma.

“Our preliminary data suggests that we could improve the efficacy of these T cells if we use CRISPR,” lead researcher Carl June told the National Institute of Health’s (NIH) Recombinant DNA Advisory Committee (RAC) on Tuesday.

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Always a trickle down effect on things that improve or change. Just reconfirms and reminds us organically how everything is indeed connected.


Capital tends to have greater value the more skilled and educated the workforce. Anticipating genetically enhanced workers would cause firms to want to invest more now in new equipment and buildings. Many assets, such as real estate and intellectual property, become more valuable the richer a society and so expectations of a much higher economic growth rate would cause companies to spend more buying and developing these assets so that businesses, as well as governments, will wish to borrow more when they realize the potential of human genetic engineering.

Many individuals will reduce their savings rate in anticipation of a future richer society. Today, fear that Social Security won’t survive motivates many Americans to save, but this fear and so this incentive for saving would disappear once genetic engineering for intelligence proves feasible. Furthermore, many citizens would rationally expect future government benefits to senior citizens to increase in a world made richer by genetic engineering and this expectation would reduce the perceived need to save for retirement.

Since understanding the consequences of a smarter workforce will increase the desire to borrow but reduce the wish to save, real interest rates will have to go up. These higher rates will reduce incentives to borrow while increasing the willingness to save and so will restore equilibrium to money markets. Expect to see higher interest rates as soon as markets price in embryo selection and genetic engineering.

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I’m 55 years old. I’m shooting for a multihundred-year lifespan. That’s my goal. If you don’t shoot for it, you’re not going to hit it, right?”

I guess he’ll want to speak to George Church.

The author of this titles it “to 150” yet Peter here says multi hundred, and included a pic of Venter who has said he doesn’t think people should live past 120.


How to Live to 150

Peter Diamandis is leading the charge to crack our genetic code in search of a brighter (much longer) future.

Sam Eifling

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Provided the variants for intelligence can be figured out and the genetic editing tools sufficiently refined (no small matter, in either case), Hsu thinks there’s an incredible potential for improvement. He’s written for the science magazine Nautilus that his calculations from the work at BGI indicate a potential for “very roughly, about 100 standard deviations of improvement, corresponding to an IQ of over 1,000.”

That’s a level of intelligence beyond what we can comprehend right now.

At the same time, we’re not just working on improving biological intelligence. We’re also working on artificial intelligence and machine learning. Smarter humans might be better able to solve those problems, helping us create smarter machines. Smart machines capable of processing big data are already essential for efforts to understand millions of human genomes. These things work together.

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