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Center for Data Science Professor Kyunghyun Cho talks improving multi-way, multilingual translations.

Although machines can outperform humans in almost any skill set today, there is still one process that they have yet to master: translation. Several students learning a second or third language in particular will have undoubtedly encountered some of the more hilarious results produced by Google (mis)Translate.

But a solution was recently proposed by the Center for Data Science’s very own Kyunghyun Cho. Together with Yoshua Bengio and Orhan Firat, their innovative model — which is the first to handle multi-way, multilingual translations — clinched the runners-up position for best paper at the 2016 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

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The research group behind an effort to synthesize a human genome this week released more information about its plans, including a draft white paper with a timeline of how the research might go.

It’s the latest step in the ambitious project, originally named “Human Genome Project-Write,” which came to light after a May meeting to discuss the building of large genomes from off-the-shelf parts.

Within a year, the international group will select one small-scale research project to kick off the effort, and start a “major effort to engage with representative members of the public,” according to the draft road map. By year five, it will “shift into high gear” and start tackling the creation of entire genomes — maybe human or maybe not, depending on feedback.

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SciWorks Radio is a production of 88.5 WFDD and SciWorks, the Science Center and Environmental Park of Forsyth County, located in Winston-Salem.

We’ve come a long way from stone tools. With great complexity, we manufacture things like jet airplanes, interplanetary probes, medical tools, and microprocessors. We build with a top-down approach, starting with a big picture concept which we then design and assemble in pieces.

Duke University professor of computer sciences, Dr. John Reif, notes that nature works from the bottom up to assemble complex structures in three dimensions.

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The field, or at least the widely used term, of synthetic biology (synbio) started nearly two decades ago. As the field has matured, two PLoS ONE papers have analyzed the publishing data to look at trends, language, and connections among synbio researchers. This data provides snapshots of who’s publishing, what kind of research is being published, when it’s being published, and where it’s being published. The question of why is certainly open for interpretation but the growth dynamics of synthetic biology publishing can give some sense of why a the term has stuck as a useful unifying term.

In 2012, researchers used Thomson Reuters Web of Science publishing data to map where people are publishing synbio research, how those people are connected, and who’s funding it. More recently, three French researchers also used data from the Thomson Reuters Web of Science to assess how synthetic biology the different areas of synthetic biology have grown and interacted.

Both of these papers draw interesting pictures of how new terms and ideas spread within an new umbrella term for a kind of research. Together these two papers paint give us some answers to the ‘Who, What, When, Where, & Why’ of synthetic biology.

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To all those who said it couldn’t happen for another 10+ years; this article is definitely for you.

Robert Wolkow, University of Alberta

Robert Wolkow, University of Alberta physics professor and the Principal Research Officer at Canada’s National Institute for Nanotechnology, has developed a technique to switch a single-atom channel.

What does it all mean? With applications for practical systems like silicon semi-conductor electronics, it means smaller, more efficient, more energy-conserving computers, as just one example of the technology revolution that is unfolding right before our very eyes (if you can squint that hard).

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If you’ve been on the Internet for a long time, chances are that you’d be inclined to say you’ve seen it all. Well, let’s just say that you haven’t really seen it all until you’ve seen Marianas Web. Don’t get your keyboard and mouse ready just yet, though – that might prove a bit more difficult than you think. This is because it doesn’t even exist.

… Or does it?

Marianas Web Symbolic Graphic

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Machine learning will drop the cost of making predictions, but raise the value of human judgement.

To really understand the impact of artificial intelligence in the modern world, it’s best to think beyond the mega-research projects like those that helped Google recognize cats in photos.

According to professor Ajay Agrawal of the University of Toronto, humanity should be pondering how the ability of cutting edge A.I. techniques like deep learning —which has boosted the ability for computers to recognize patterns in enormous loads of data—could reshape the global economy.

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