Today, Butler University Executive Education announced the launch of a data analytics boot camp, in partnership with leading workforce accelerator Trilogy Education. Geared toward adult learners and working professionals, the Butler Executive Education Data Analytics Boot Camp teaches the analytical, technical, and teamwork skills necessary to become a proficient data professional.
The MIT Press has announced the release of a comprehensive report on the current state of all available open-source software for publishing. “Mind the Gap,” funded by a grant from The Andrew W. Mellon Foundation, “shed[s] light on the development and deployment of open source publishing technologies in order to aid institutions’ and individuals’ decision-making and project planning,” according to its introduction. It will be an unparalleled resource for the scholarly publishing community and complements the recently released Mapping the Scholarly Communication Landscape census.
The report authors, led by John Maxwell, associate professor and director of the Publishing Program at Simon Fraser University, catalog 52 open source online publishing platforms. These are defined as production and hosting systems for scholarly books and journals that meet the survey criteria, described in the report as those “available, documented open-source software relevant to scholarly publishing” and as well as others in active development. This research provides the foundation for a thorough analysis of the open publishing ecosystem and the availability, affordances, and current limitations of these platforms and tools.
WSC Sports was cofounded by Shichman, VP of business development Aviv Arnon, CTO Shmuel Yoffe, and COO Hy Gal in 2011, who pioneered a platform that taps machine learning algorithms to craft short-form clips from sports broadcasts in near-real time. It’s able to piece together highlight reels of every player, team, and moment autonomously, and to lend a hand in distributing the finished products at scale.
The idea is to save clients labor and capital by repurposing existing video content, paving the way for new monetization opportunities. But WSC also asserts that it affords human editors more time to invest in storytelling and creative content delivery.
The Australian National University (ANU) has launched a new research project that will focus on designing Australian values into artificial intelligence (AI) systems.
The humanising machine intelligence (HMI) project will see 17 core researchers involved in building a design framework for moral machine intelligence (MMI) that can be widely deployed.
Speaking to ZDNet, head of School of Philosophy at the ANU Seth Lazar said the need to develop moral AI comes off the back of recent concerns about existing AI systems.
[Robert] Chang thinks he might soon have a workaround to the data problem: patients. He’s working with Dawn Song, a professor at the University of California-Berkeley, to create a secure way for patients to share their data with researchers. It relies on a cloud computing network from Oasis Labs, founded by Song, and is designed so that researchers never see the data, even when it’s used to train AI. To encourage patients to participate, they’ll get paid when their data is used.
The Ambient, Jennifer Pattison Tuohy and Hugh Langley
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The smart home space is exploding – we don’t need to tell you that – and although Amazon, Google, Apple and the other tech titans suck up much of the oxygen in the room, it’s the startup space that really keeps things electric here at The Ambient. … With that, we decided to round up some of the startups that have us excited to be writing about this space right now. Below you’ll find a wide range of companies trying to make their mark on the smart home. Some have been on the scene a short while, while others are making their big splash this year.
Life sciences developer Alexandria Real Estate Equities has an agreement with the city government to buy a 2.86-acre parcel known as the Mercer Mega Block, in the South Lake Union neighborhood that is a hub for numerous large and small companies, including Amazon’s headquarters. The deal still requires approval by the city council, but it will include a mixed-use life sciences campus, the company said. Mayor Jenny Durkan’s office said the development would also include low- and middle-income housing.
On a Monday in July, the phones of 16,800 New Yorkers near Chinatown lit up with a push notification reading, “Man Stabbed in Park.” Another 51,700 people were notified of a “Man Slashed” in the Bronx. On the Upper West Side, 13,500 people were alerted that a Chase Bank had been robbed.
The notifications, sent from a mobile app called Citizen, can create the impression that the city is teeming with errant slashers and other dangerous criminals. But crime rates in New York have been declining steadily for decades, according to the New York Police Department, with major felonies dropping by more than 80 percent between 1990 and 2018.
Citizen uses information from police scanners and social media to alert users to emergencies going on around them. While the app purports to make communities safer, experts say that constant notifications about local crime, sent to thousands of city dwellers multiple times a day, can actually create a culture of fear. What’s more, when people are unduly afraid of their neighborhoods, that paranoia is often misdirected at people of color.
The Wisconsin Institutes for Discovery was envisioned as a place for interdisciplinary problem solving. How has it evolved under your leadership?
When I came we started thinking about how you generate interdisciplinary work. We took an experimental approach to figuring out whether there are deliberate things that we can do that will encourage truly broad collaborations across disciplines. We’ve implemented several approaches that I don’t think have been used anyplace else. We’re seeing how that works to encourage broad collaboration and novel ways of thinking about practical problems and basic science.
Can you give me an example of how that translates into solving scientific problems?
Our BrainSPAN 100 group is dedicated to using treatable mental and brain disease like anxiety, depression and sleep disorders as a model for studying the ones that we can’t treat, like Alzheimer’s and autism. It’s what we call a multi-omics approach. The idea is to profile people with both kinds of disorders and then use machine learning as a means to find similarities or patterns in common between the treatable and the untreatable. Another area that has benefited a lot from this new interdisciplinary approach is data science.
The Indiana University Board of Trustees has approved 12 new degrees: a bachelor’s degree at IU Bloomington, a master’s degree at IUPUI, two bachelor’s degrees at IU South Bend and eight degrees offered by IU Online in collaboration with multiple campuses.
A new Bachelor of Science in cybersecurity and global policy offered on the IU Bloomington campus will be a collaboration between the School of Informatics, Computing and Engineering and the Hamilton Lugar School of Global and International Studies. Globally, there are about 1.5 million cybersecurity job openings, and this degree is IU’s latest response to meeting the demand. In fall 2017, IU launched its master’s in cybersecurity and risk management, and last month the university announced a new IU Cybersecurity Clinic to address threats faced by governments, businesses and individuals.
Remember Graham Giller? If you pay attention to what’s going on in the world of financial data science, it’s a name that should be familiar. – Giller used to be the head of data science and research at Bloomberg and then JPMorgan. He left JPM to join Deutsche Bank in March 2018 and then left Deutsche Bank (possibly inadvertently) last month as Deutsche began swinging the ax.
Now Giller’s turned up doing his own thing. According to his LinkedIn profile, he’s founded Giller Investments, a New Jersey-based company that will specialize in, “Predicting key variables for companies and the economy.” He didn’t respond to a request to elaborate further.
Computing Community Consortium, CCC Blog, Helen Wright
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This roadmap is the result of a year long effort by the CCC and over 100 members of the research community, led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of AAAI). Comments on a draft report of this roadmap were requested in May 2019. Thank you to everyone in the community who participated in workshops, helped write the report, submitted comments, and edited drafts. Your input and expertise helped make this roadmap extremely comprehensive.
Artificial Intelligence engineers should enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, in order to reduce the potential harm of their creations and to better serve society as a whole.
Artificial Intelligence engineers should enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, in order to reduce the potential harm of their creations and to better serve society as a whole, a pair of researchers has concluded in an analysis that appears in the journal Nature Machine Intelligence.
“There is mounting evidence that AI can exacerbate inequality, perpetuate discrimination, and inflict harm,” write Mona Sloane, a research fellow at New York University’s Institute for Public Knowledge, and Emanuel Moss, a doctoral candidate at the City University of New York.
Could Pittsburgh become a hub of tech innovation in health care? That’s the goal and a new partnership with Amazon will help pave the way.
This week, the Pittsburgh Health Data Alliance (PHDA) received a machine learning research sponsorship from Amazon Web Services. Through the program, experts from the PHDA will be able to use the company’s cutting-edge AI tools to produce the next generation of health technology.
Beginning in 2020, USENIX will hold two SREcon Americas events: East and West. This change increases opportunities for engagement and maintains the connectedness our communities appreciate in conferences of this size.
To facilitate these transitions, the existing spring SREcon Americas will become SREcon Americas West. As an interim step in December 2020, SREcon Americas East will be held alongside LISA. Beginning in 2021, LISA will be held annually in late spring, and SREcon Americas East will occur at the end of each calendar year.
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I made a very simple example showing a synthesized sound that was made using the gradient norm of each layer and for step of the training for a convolutional neural network training on MNIST using different settings such as different learning rates, optimizers, momentum, etc.
University of California-Berkeley, EECS Department, Rebecca Roelofs
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Due to the prevalence of machine learning algorithms and the potential for their decisions to profoundly impact billions of human lives, it is crucial that they are robust, reliable, and understandable. This thesis examines key theoretical pillars of machine learning surrounding generalization and overfitting, and tests the extent to which empirical behavior matches existing theory. We develop novel methods for measuring overfitting and generalization, and we characterize how reproducible observed behavior is across differences in optimization algorithm, dataset, task, evaluation metric, and domain.