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In Brief:

  • The AI, called MogIA, based its analysis on 20 million data points from platforms such as Google, Twitter, and YouTube.
  • The AI aims at learning from the environment, developing its own rules at the policy layer, and developing expert systems without discarding any data.

MogIA, an artificial intelligence (AI) system developed by an Indian start-up, correctly predicted the outcome of this year’s elections. It based its analysis on 20 million data points from platforms such as Google, Twitter, and YouTube, reviewing public engagement across various posts in relation to individual candidates.

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Google has built machine learning systems that can create their own cryptographic algorithms — the latest success for AI’s use in cybersecurity. But what are the implications of our digital security increasingly being handed over to intelligent machines?

Google Brain, the company’s California-based AI unit, managed the recent feat by pitting neural networks against each other. Two systems, called Bob and Alice, were tasked with keeping their messages secret from a third, called Eve. None were told how to encrypt messages, but Bob and Alice were given a shared security key that Eve didn’t have access too.

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In the majority of tests the pair fairly quickly worked out a way to communicate securely without Eve being able to crack the code. Interestingly, the machines used some pretty unusual approaches you wouldn’t normally see in human generated cryptographic systems, according to TechCrunch.

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Party for Science with Steve Aoki and help raise awareness and funds for the SENS Research Foundation.


Hang with DJ Steve Aoki at a nightclub and you can expect an earful of his electronic bangers and confetti in your hair. Cozy up to Steve Aoki at Brooklyn Bowl on November 15 and you’ll get to hit pins alongside neuroscientists, bid on one-of-a-kind experiences in live and silent auctions (think jumping into the foam pit at Aoki’s Las Vegas “playhouse”) and catch him outside the booth as he hosts the Aoki Foundation’s Bowling for Brains fundraiser. The inaugural event supports the Buck Institute on Aging, SENS Research Foundation and Las Vegas’ own Lou Ruvo Center for Brain Health, continuing the foundation’s ongoing support of regenerative science.

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Everyone from astronomers to tech companies wants to know what it would be like to live on Mars.

From growing vegetables in Martian soil, to claims that leaving Earth could save the human species, scientists are constantly making advances in this field.

Now, astronomers from the Royal Observatory in London and Stephen Petranek — author of “How We’ll Live on Mars” — have designed a Martian Show Home to demonstrate what life could be like on the Red Planet.

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To better understand how the brain identifies patterns and classifies objects — such as understanding that a green apple is still an apple even though it’s not red — Sandia National Laboratories and the Intelligence Advanced Research Projects Activity are working to build algorithms that can recognize visual subtleties the human brain can divine in an instant.

They are overseeing a program called Machine Intelligence from Cortical Networks, which seeks to supercharge machine learning by combining neuroscience and data science to reverse-engineer the human brain’s processes. IARPA launched the effort in 2014.

Sandia officials recently announced plans to referee the brain algorithm replication work of three university-led teams. The teams will map the complex wiring of the brain’s visual cortex, which makes sense of input from the eyes, and produce algorithms that will be tested over the next five years.

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ADELPHI, Md. — A U.S. Army Research Laboratory biotechnology scientist recently published an editorial article on the future directions of synthetic biology research to meet critical Army needs in the Synthetic Biology edition of the Journal of the American Chemical Society.

In the publication, Dr. Bryn Adams, who works in ARL’s Bio-Technology Branch, highlights examples of robust, tractable bacterial species that can meet the demands of tomorrow’s state-of-the-art in synthetic biology.

“ACS Synthetic Biology is the premier synthetic biology journal in the world, with a wide readership of biologists, chemists, physicists, engineers and computer programmers,” Adams said. “A publication in this journal allows me to challenge the leaders in the field to meet a Department of Defense specific need — the need for new synthetic biology chassis organisms, or host cell, and toolkits to build complex circuits in them.”

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Whenever cybersecurity is discussed, the topic of biometric authentication rises alongside it as a better, more effective, more secure method of security. But is it? Do biometrics actually provide a safer way to complete purchase transactions online?

“Biometrics are a device-specific authentication method,” said Madeline Aufseeser, CEO of online fraud prevention company Tender Armor, of the ways biometric authentication is presently used to secure a digital purchase transaction (as opposed to logging into a bank’s web site, to view an account or transfer money). “Typically the same biometric method does not work across multiple purchasing channels today. The fingerprint used to make a purchase with a smartphone cannot necessarily be used to authenticate a phone order purchase or purchase made with a computer. When you confirm [a purchase transaction] with your fingerprint on a smartphone, all that’s saying is that’s the same fingerprint that’s allowed to use this phone, or the specific application on the phone. Because the fingerprint is only resident and stored on the phone, the phone is authenticating itself, not the cardholder conducting the transaction.”

This sounds a little odd compared to what we might have heard about the capabilities of biometrics previously, mainly because it goes against a core assumption: that a biometric identifier (like a fingerprint) goes with transactional data, from the phone or device, to the payment processor, to the merchant.

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