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AUSTIN — At SXSW 2018, artificial intelligence (AI) was everywhere, even in the sessions that were not specifically about the subject. AI has captured the attention of people well outside the technology space, and the implications of the technology are far-reaching, changing industries, eliminating many human jobs, and changing the nature of work for most of us going forward. I expect that an AI bot could write this article within 10 years — and likely much sooner — simply by ingesting all the information from the sessions I attended, coupled with an ability to research related information on the internet much better than I could.

Interestingly enough, as Ray Kurzweil pointed out in his talk here, the term “artificial intelligence” was coined at a summer workshop at Dartmouth in 1956 attended by computing pioneers such as Marvin Minsky and Claude Shannon, at a time when computers still ran on vacuum tubes and computers in the world numbered in the hundreds.

While we have a handle on what constitutes artificial intelligence in computers today, what constitutes intelligence in humans is still not completely agreed upon. We have some 100 billion neurons in our brains, and those neurons can make 100 trillion connections, which certainly outstrip any computer today. Those connections allow us to identify things, make decisions, use and understand language, and many other things that a computer has a hard time doing – for now.

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“Although smartphones and tablets are ubiquitous, many of the companies that make our everyday consumer products still rely on paper trails and manually updated spreadsheets to keep track of their production processes and delivery schedules,” says Leyuan Shi, a professor of industrial and systems engineering at the University of Wisconsin-Madison.

That’s what she hopes to change with a research idea she first published almost two decades ago.

During the past 16 years, Shi has visited more than 400 companies in the United States, China, Europe, and Japan to personally observe their production processes. “And I have used that insight to develop tools that can make these processes run much more smoothly,” she says.

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In principle, a wormhole-like scenario is possible, but a wormhole tends to close before objects or other matter could pass through it. As far as we know, it’s unlikely we could construct a wormhole that stays open long enough for us to get to a distant part of the universe.

That’s really the issue: Can you keep a wormhole open?

Wormholes can exist even at the quantum level, which is a very small scale, smaller than an atom. Trying to move matter through a wormhole at the classical level, the large-size level, is where it gets trickier.

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A new sodium-ion battery chemistry that shows superior performance to existing state-of-the-art sodium-based batteries could be the catalyst to enabling mass-production of the emerging technology for large-scale energy storage, such as in applications including storing solar power for industrial sites.

Despite sodium’s appeal as a low-cost, abundant and environmentally friendly building block for storage, it is a relatively new entrant in the field of battery technology research and development.

A key issue for sodium-ion batteries is that many of the active materials used in their chemistry are sensitive to air—exposure to even a few molecules of air can degrade the material and reduce battery performance.

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