Lifeboat Foundation

NEWS ANALYSIS: The confluence of big data, massively powerful computing resources and advanced algorithms is bringing new artificial intelligence capabilities to scientific research.

WASHINGTON, DC—Massively parallel supercomputing hardware along with advanced artificial intelligence algorithms are being harnessed to deliver powerful new research tools in science and medicine, according to Dr. France A. Córdova, Director of the National Science Foundation.

Córdova spoke Oct. 26 at GPU Technology Conference organized by Nvidia, a company that got its start making video cards for PCs and gaming systems, that now manufactures advanced graphics processor for high-performance servers and supercomputers.

An artificial intelligence method developed by University College London computer scientists and associates has predicted the judicial decisions of the European Court of Human Rights (ECtHR) with 79% accuracy, according to a paper published today (Monday, Oct. 24) in PeerJ Computer Science.

The method is the first to predict the outcomes of a major international court by automatically analyzing case text using a machine-learning algorithm.*.

Artificial intelligence is a “momentous development,” said George Lee, co-chairman of the global technology, media and telecom group at Goldman Sachs.

“As awesome as the internet has been, it will be best remembered as really the predicate for machine learning,” said Lee, who’s also chief information officer of Goldman’s investment banking division. He appeared on CNBC’s “Squawk Alley” on Wednesday from Goldman’s Builders + Innovators Summit in Santa Barbara, California.

The internet enabled computing scale in a network and serves as a way to “collect data that’s used to train all these algorithms,” Lee said, predicting machine learning will “change our world … and even the course of our species in ways that are hard to predict today.”

Continue reading “Artificial intelligence will change the ‘course of our species’: Top Goldman tech banker” »

A London-based startup has combined some of today’s most disruptive technologies in a bid to change the way we’ll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes.

When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. “On one side we have a fully automated production pipeline,” Cam explained at a recent conference in London. “On the other side we’re completely dependent on human labor.” With the emergence of more efficient printing technologies, he thought there must be a better way.

Continue reading “Give a 3D printer artificial intelligence, and this is what you’ll get” »

Mars colonization — getting there is only a small part of the equation. The bigger problem is how to survive. Synthetic biology may be able to help.

If there is any organization on the planet that has had a closer view of the coming demise of Moore’s Law, it is the Institute of Electrical and Electronics Engineers (IEEE). Since its inception in the 1960s, the wide range of industry professionals have been able to trace a steady trajectory for semiconductors, but given the limitations ahead, it is time to look to a new path—or several forks, to be more accurate.

This realization about the state of computing for the next decade and beyond has spurred action from a subgroup, led by Georgia Tech professor Tom Conte and superconducting electronics researcher, Elie Track called “Rebooting Computing,” which produces reports based on invite-only deep dives on a wide range of post-Moore’s Law technologies, many of which were cited here this week via Europe’s effort to pinpoint future post-exascale architectures. The Rebooting Computing effort is opening its doors next week for a wider-reaching, open forum in San Diego to bring together new ideas in novel architectures and modes of computing as well as on the applications and algorithm development fronts.

According to co-chair of the Rebooting Computing effort, Elie Track, a former Yale physicist who has turned his superconducting circuits work toward high efficiency solar cells in his role at startup Nvizix, Moore’s Law is unquestionably dead. “There is no known technology that can keep packing more density and features into a given space and further, the real issue is power dissipation. We just cannot keep reducing things further; a fresh perspective is needed.” The problem with gaining that view, however, is that for now it means taking a broad, sweeping look across many emerging areas; from quantum and neuromorphic devices, approximate computing, and a wide range of other technologies. “It might seem frustrating that this is general, but there is no clear way forward yet. What we all agree on is that we need exponential growth in computing engines.”

Continue reading “IEEE Reboots, Scans for Future Architectures” »

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There are many scientific and non-scientific varieties of the answer about what came before Big Bang. Some say there was literally nothing and some say a black hole or a multiverse. But now a group of mathematicians from Canada and Egypt have analyzed some cutting edge scientific theory and a complex set of equations to find what preceded the universe in which we live. Their research paper has been published in Nature.

Continue reading “Scientists claim to have discover what existed BEFORE the beginning of the universe” »

By now everyone has heard of Google’s RankBrain, the new artificial intelligence machine learning algorithm that is supposed to be the latest and greatest from Mountain View, Calif. What many of you might not realize, however, is just how fast the SEO industry is changing because of it. In this article, I’ll take you through some clear examples of how some of the old rules of SEO no longer apply, and what steps you can take to stay ahead of the curve in order to continue to provide successful SEO campaigns for your businesses.

So what is artificial intelligence?

There are generally three different classifications of artificial intelligence:

Continue reading “Artificial intelligence is changing SEO faster than you think” »

The Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) has awarded Dr. James Caverlee and Dr. Xia “Ben” Hu a Next Generation Social Science (NGS2) grant to complete their collaborative research project, HELIOS, named after the Greek god with the ability to see the invisible.

Along with being a part of the Texas A&M Engineering Experiment Station’s (TEES) Center for Digital Libraries, Caverlee is an associate professor and Hu is an assistant professor in the Department of Computer Science and Engineering at Texas A&M University.

The HELIOS project aims to create new computational methods and algorithms to fill in the gaps of rapidly evolving spatial-temporal datasets, which are datasets that measure both space and time. These types of datasets are generally missing information, which prohibit accurate assessments of time and location.