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Nigerian Oshi Agabi has unveiled a computer based not on silicon but on mice neurons at the TEDGlobal conference in Tanzania.

The system has been trained to recognise the smell of explosives and could be used to replace traditional airport security, he said.

Eventually the modem-sized device — dubbed Koniku Kore — could provide the brain for future robots.

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My new Op-Ed for The San Francisco Chronicle: http://www.sfchronicle.com/opinion/openforum/article/Chip-implants-make-humans-more-efficient-12003194.php #transhumanism


Wisconsin company Three Square Market recently announced it will become the first U.S. company to offer its employees chip implants that can be scanned at security entrances, carry medical information and even purchase candy in some vending machines. A company in Europe already did this last year.

For many people, it sounds crazy to electively have a piece of technology embedded in their body simply for convenience’s sake. But a growing number of Americans are doing it, including me.

I got my RFID implant two years ago, and now I use it to send text messages, bypass security codes on my computer, and open my front door. Soon I’ll get the software to start my car, and then my life will be totally keyless.

The type of chip implants in humans varies depending on the manufacturer or purpose of the device. A few hundred thousand people around the world have cochlear implants, which allow deaf people to hear. Others have implants to help with Alzheimer’s, Parkinson’s or even depression. A growing number of transhumanists — people who want to use radical technology in their bodies — have the $60 implant I have. It’s tiny, about the size of a grain of rice, and is injected into the body by a syringe. The injection process — usually in the hand near the thumb — is often bloodless and takes seconds to complete.

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The risk factor is that iCarbonX is handling more than personal data, but potentially vulnerable data as the company uses a smartphone application, Meum, for customers to consult for health advice. Remember that the Chinese nascent genomics and AI industry relies on cloud computing for genomics data-storage and exchange, creating, in its wake, new vulnerabilities associated with any internet-based technology. This phenomenon has severe implications. How much consideration has been given to privacy and the evolving notion of personal data in this AI-powered health economy? And is our cyberinfrastructure ready to protect such trove of personal health data from hackers and industrial espionage? In this new race, will China and the U.S. have to constantly accelerate their rate of cyber and bio-innovation to be more resilient? Refining our models of genomics data protection will become a critical biosecurity issue.

Why is Chinese access to U.S. genomic data a national security concern?

Genomics and computing research is inherently dual-use, therefore a strategic advantage in a nation’s security arsenal.

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Zero-day vulnerabilities targeting popular secure messenger applications, like Signal, Telegram and WhatsApp, can fetch payments of up to $500,000 from Zerodium, a buyer and seller of zero-day research, based on a newly released list of available awards offered by the U.S. firm.

The market for zero-day vulnerabilities — an undisclosed software security hole that can be exploited by hackers — is notoriously rich and murky. Traders tend to operate away from public scrutiny for a number of reasons that make it difficult to learn about the market.

Although Zerodium isn’t known for the transparency of its business, the company’s listings for vulnerabilities provides a window into the supply and demand behind the vulnerability resale industry.

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It’s getting too easy to create dangerous viruses. The upcoming national biodefense strategy should ensure that scientific journals don’t help terrorists learn how.

The news that researchers have recreated an extinct cousin to the smallpox virus using only commercially available technology and items purchased over the Internet renews concerns that bioterrorists could do the same if detailed information about the methods were published. Here’s the problem: scientific journals are geared toward publication, often without sufficient understanding of the public-security risks. We need a better system to ensure that information that could help bad actors stays unpublished.

It took David Evans’ team of scientists at the University of Alberta in Edmonton, Canada, about six months and $100,000 to recreate the horsepox virus, a close relative of the smallpox virus that killed perhaps 300 million people in the 20th century before it was eradicated in 1980. In a summary of the research, the World Health Advisory Committee on Variola Virus Research wrote that “recreation of such viral genomes did not require exceptional biochemical knowledge or skills, significant funds, or significant time.”

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With sufficient training on digitized writing, spoken words, images, video streams and other digital content, ML has become the basis of voice recognition, self-driving cars, and other previously only-imagined capabilities. As billions of phones, appliances, drones, traffic lights, security systems, environmental sensors, and other radio-connected devices sum into a rapidly growing Internet of Things (IoT), there now is a need to apply ML to the invisible realm of radio frequency (RF) signals, according to program manager Paul Tilghman of DARPA’s Microsystems Technology Office. To further that cause, DARPA today announced its new Radio Frequency Machine Learning Systems (RFMLS) program. Find out more: http://www.darpa.mil/news-events/2017-08-11a

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Cory Doctorow has made several careers out of thinking about the future, as a journalist and co-editor of Boing Boing, an activist with strong ties to the Creative Commons movement and the right-to-privacy movement, and an author of novels that largely revolve around the ways changing technology changes society. From his debut novel, Down And Out In The Magic Kingdom (about rival groups of Walt Disney World designers in a post-scarcity society where social currency determines personal value), to his most acclaimed, Little Brother (about a teenage gamer fighting the Department of Homeland Security), his books tend to be high-tech and high-concept, but more about how people interface with technologies that feel just a few years into the future.

But they also tend to address current social issues head-on. Doctorow’s latest novel, Walkaway, is largely about people who respond to the financial disparity between the ultra-rich and the 99 percent by walking away and building their own networked micro-societies in abandoned areas. Frightened of losing control over society, the 1 percent wages full-on war against the “walkaways,” especially after they develop a process that can digitize individual human brains, essentially uploading them to machines and making them immortal. When I talked to Doctorow about the book and the technology behind it, we started with how feasible any of this might be someday, but wound up getting deep into the questions of how to change society, whether people are fundamentally good, and the balance between fighting a surveillance state and streaming everything to protect ourselves from government overreach.

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A new report shows just how easy it is becoming to download designs for difficult-to-trace arms.

In the darker corners of the Internet where search engines cannot go, black markets offer pistols, machine guns, even explosives — and most worrisome to security researchers, computer aided design, or CAD, files for 3D-printed guns.

A new report from RAND looked at 811 weapons listings on a dozen dark-web markets, which continue to thrive despite the shuttering of sites like the Silk Road and, just this month, AlphaBay. Firearms were the top-selling category, with was 339 active listings, roughly 42 percent of the market. But the next-largest share, with 222 listings, was a variety of digital products, from build-it-yourself explosives manuals to CAD files.

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DARPA created the Safe Genes program to gain a fundamental understanding of how gene editing technologies function; devise means to safely, responsibly, and predictably harness them for beneficial ends; and address potential health and security concerns related to their accidental or intentional misuse. Today, DARPA announced awards to seven teams that will pursue that mission, led by: The Broad Institute of MIT and Harvard; Harvard Medical School; Massachusetts General Hospital; Massachusetts Institute of Technology; North Carolina State University; University of California, Berkeley; and University of California, Riverside. DARPA plans to invest $65 million in Safe Genes over the next four years as these teams work to collect empirical data and develop a suite of versatile tools that can be applied independently or in combination to support bio-innovation and combat bio-threats.

Gene editing technologies have captured increasing attention from healthcare professionals, policymakers, and community leaders in recent years for their potential to selectively disable cancerous cells in the body, control populations of disease-spreading mosquitos, and defend native flora and fauna against invasive species, among other uses. The potential national security applications and implications of these technologies are equally profound, including protection of troops against infectious disease, mitigation of threats posed by irresponsible or nefarious use of biological technologies, and enhanced development of new resources derived from synthetic biology, such as novel chemicals, materials, and coatings with useful, unique properties.

Achieving such ambitious goals, however, will require more complete knowledge about how gene editors, and derivative technologies including gene drives, function at various physical and temporal scales under different environmental conditions, across multiple generations of an organism. In parallel, demonstrating the ability to precisely control gene edits, turning them on and off under certain conditions or even reversing their effects entirely, will be paramount to translation of these tools to practical applications. By establishing empirical foundations and removing lingering unknowns through laboratory-based demonstrations, the Safe Genes teams will work to substantially minimize the risks inherent in such powerful tools.

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