Match highlights at Wimbledon are selected and assembled by robots. Artificial intelligence is used to pick the most dramatic moments, making those judgments by crowd noise and player gestures. [audio, 3:50]
Xilinx recently started shipping Versal series 7 nm multicore processors to select customers to address growing demands for Artificial Intelligence (AI) computing.
General availability will occur in the second half of 2019 for both the Versal AI Core and Versal Prime series, the company said in a release. Pricing was not announced.
On Tuesday, representatives from Facebook (FB), Amazon (AMZN), Apple (AAPL) and Google (GOOG) are set to testify at a House hearing on “online platforms and market power,” in what could be the industry’s most high-profile grilling session since tech antitrust scrutiny ramped up in Washington a month ago.
Just a few hours before that, David Marcus, a top Facebook executive is scheduled to appear in a different hearing before the Senate Banking Committee. This hearing will focus on the company’s recent proposal for a new digital currency called Libra, a plan that Sen. Sherrod Brown, a Democrat and ranking member on the committee, said raises more “anti-competitive concerns.”
The dramatic day on Capitol Hill highlights the harsh spotlight politicians on both sides of the aisle now place on the country’s largest tech companies.
A new working paper, from Diane Alexander and Hannes Schwandt at the Federal Reserve Bank of Chicago and Northwestern University respectively, used the Volkswagen scandal to explore the health impacts of car companies’ cheating on emissions tests and what it can tell us about the high costs of pollution from cars.
Since 2009, Volkswagen sold 480,000 “clean diesel” cars in the US that were actually heavy polluters in disguise, and other cheating companies sold an additional 120,000. Those “cheating cars” were not evenly distributed around the United States; some areas had lots of the cheating cars, while others had only a few. That uneven distribution allowed the researchers to look at different measures of air quality and health, and to find correlations with the presence of polluting cars.
Alexander and Schwandt’s finding? “Counties with increasing shares of cheating diesel cars experienced large increases both in air pollution and in the share of infants born with poor birth outcomes,” they write.
City, University of London has embarked on a knowledge transfer partnership (KTP) with smart bike sharing company Beryl.
The partnership, led by Senior Lecturer, Dr Andrea Baronchelli (Department of Mathematics), together with Dr Chris Child (Senior Lecturer, Department of Computer Science) and associate, Dr Soumya Dasgupta, is supported by a £287k grant from Innovate UK.
The collaboration will see City scholars gather and analyse data on bike usage within an urban context, leading to more improved outcomes for the design of sustainable cities.
The University of Illinois will be the major tenant in a $75 million redevelopment along East Daniel Street, just steps from the Quad, under the terms of a proposed lease made public Monday.
The UI plans to rent more than 86,500 square feet of space in a new office/retail/apartment building in the 600 block of East Daniel in Champaign, which is being developed by Core Champaign Daniel LLC, officials said Monday.
The space will be used for the growing School of Information Sciences, now headquartered in a former fraternity house a block away at 501 E. Daniel St., C, and for the new vice chancellor for diversity, equity and inclusion and his staff.
We’re delighted to announce that we have received new funding from the Alfred P. Sloan Foundation. The $678K grant, awarded through the Foundation’s Data & Computational Research program, will be used to expand our efforts in software peer review.
Software peer review has become a core part of rOpenSci, helping improve scientific software quality, drive best engineering practices into scientific communities, and building community and collaboration through open, constructive reviews. We’re excited to expand our work in this important area. Here’s what we’ll be doing in the next two years with this support:
In the world of media, jobs that used to be about words and images are suddenly all about numbers. Is that a good thing?
Of the industries that have been transformed by technology, media may have had the most turbulent ride, and print media the most painful. First, the internet cut the legs out from under newspapers, stealing lucrative classified ads and moving them to online sites like Craigslist. Retail ads left next, swiped by Google and other ad servers, who directed them not to publications, but to readers who fit a profile described by an algorithm.
Chris Wells, a Boston University College of Communication assistant professor of journalism, who has studied the influence of social media, says the more recent growth of online platforms like Facebook has “platformitized” the media. That platformization, he says, “has severely threatened news outlets’ already weak online advertising.”
70M Americans have a gut disorder—twice the number of those living with diabetes—and nearly 75% of people deal with digestive symptoms on a regular basis. Those living with certain digestive health conditions are more likely to suffer from other chronic conditions, including comorbid mental health diagnoses. While employers increasingly offer programs for other chronic conditions, digestive health remains a taboo topic with few covered solutions for those suffering from complex inflammatory conditions such as irritable bowel syndrome (IBS), Crohn’s disease, and ulcerative colitis, among others.
That’s where Vivante comes in—and why we’re incredibly excited by the company’s potential to radically improve the patient experience while removing costs from the healthcare system. Vivante’s science-driven, comprehensive, and personalized solution, GIThrive, is comprised of:
Microbiome testing and real-time remote gut health monitoring via a connected non-invasive sensor that measures digestive activity through a simple breath test
24/7, on-demand gut-side assistance from a coordinated care team of health coaches, dietitians, pharmacists, and nurses
Personalized nutrition based on a user’s preferences, care team recommendations, and data-driven feedback over time
Venture capital investors are investing in AI start-ups that are developing products to help AI-enabled companies improve efficiency, privacy and compliance and manage and train their workforces.
Dell Technologies Capital and Microsoft’s M12 help these companies grow and often plug them into their product development, sales and distribution networks.
Four of the nation’s largest tech companies sought to reassure skeptical lawmakers over their market power as the House ramps up its antitrust investigation into Silicon Valley.
Executives from Apple, Amazon, Facebook and Google testified before the House Judiciary Committee’s antitrust subcommittee Tuesday in a hearing examining the effect that their size has had on small businesses and their ability to innovate.
Detroit and other jurisdictions across the country have shipped tens of thousands of kits to labs for testing. The results have upended assumptions about sexual predators—showing, for example, that serial rapists are far more common than many experts had previously believed.
How many rapes could have been prevented if police had believed the first victim? How many women would have been spared a brutal assault?
But the rape-kit scandal has turned out to be only a visible symptom, a mole on the skin that hints at a pervasive cancer just below the surface. The deeper problem is a criminal-justice system in which police officers continue to reflexively disbelieve women who say they’ve been raped—even in this age of the #MeToo movement, and even when DNA testing can confirm many allegations.
UC3 :: California Digital Library, Maria Gould and Daniella Lowenberg
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It’s not easy to determine how many datasets in Dryad are affiliated with the University of California – or any other institution, for that matter. This is the result of two main factors: (1) Dryad historically did not collect affiliation information from authors submitting datasets; and (2) even if Dryad had collected this information, it likely would have done so in a free-text field that allowed authors to write their affiliation in any number of ways (think “UC Berkeley,” “University of California-Berkeley,” or “Berkeley,” for example). Why? Because until recently, the scholarly research and publishing community did not have an easy and open option to rely on a standard set of affiliation names and related IDs to identify and disambiguate institutions.
This changed a few months ago with the launch of ROR – the Research Organization Registry. ROR is a community-led project to develop an open, sustainable, usable, and unique identifier for every research organization in the world. The ROR MVR (minimum viable registry) launched in January 2019 and began assigning unique ROR IDs to more than 91,000 organizations.
arXiv, Computer Science > Machine Learning; Antonio Ginart, Melody Guan, Gregory Valiant, James Zou
from
Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used — the EU’s Right To Be Forgotten regulation is an example of this effort. In this paper we initiate a framework studying what to do when it is no longer permissible to deploy models derivative from specific user data. In particular, we formulate the problem of how to efficiently delete individual data points from trained machine learning models. For many standard ML models, the only way to completely remove an individual’s data is to retrain the whole model from scratch on the remaining data, which is often not computationally practical. We investigate algorithmic principles that enable efficient data deletion in ML. For the specific setting of k-means clustering, we propose two provably deletion efficient algorithms which achieve an average of over 100X improvement in deletion efficiency across 6 datasets, while producing clusters of comparable statistical quality to a canonical k-means++ baseline.
In this blog post, I’m going to discuss the two main ways open access content can be integrated into such system, namely adding “OA as alternative access” vs “OA as a collection”, what design choices are available for each method and what implications these choices made will have for librarians.
