Topic-Partitioned Multinetwork Embeddings

Neural Information Processing Systems

We introduce a joint model of network content and context designed for exploratory analysis of email networks via visualization of topic-specific communication patterns. Our model is an admixture model for text and network attributes which uses multinomial distributions over words as mixture components for explaining text and latent Euclidean positions of actors as mixture components for explaining network attributes. We demonstrate the capability of our model for descriptive, explanatory, and exploratory analysis by investigating the inferred topic-specific communication patterns of a new government email dataset, the New Hanover County email corpus. Papers published at the Neural Information Processing Systems Conference.

A notorious Iranian hacking crew is targeting industrial control systems


Iranian hackers have carried out some of the most disruptive acts of digital sabotage of the last decade, wiping entire computer networks in waves of cyberattacks across the Middle East and occasionally even the US. But now one of Iran's most active hacker groups appears to have shifted focus. Rather than just standard IT networks, they're targeting the physical control systems used in electric utilities, manufacturing, and oil refineries. At the CyberwarCon conference in Arlington, Virginia, on Thursday, Microsoft security researcher Ned Moran plans to present new findings from the company's threat intelligence group that show a shift in the activity of the Iranian hacker group APT33, also known by the names Holmium, Refined Kitten, or Elfin. Microsoft has watched the group carry out so-called password-spraying attacks over the past year that try just a few common passwords across user accounts at tens of thousands of organizations.

Leidos hiring Machine Learning Research Engineer in Arlington, VA, US LinkedIn


Description Job Description: The Leidos Innovations Center (LInC) seeks a Machine Learning Research Engineer primarily focused on cognitive signal processing, to work in our Arlington, VA office. The candidate will research & develop new, state-of-the-art machine learning algorithms and implement them across the RF domain (e.g., communications, radar, electronic warfare, spectrum sensing, and signals intelligence [SIGINT]), in both modelling and simulation environments and real time software embed systems. The candidate will also contribute to technology developments in signal processing, optimization, detection & estimation, deep learning, and adaptive decision and control. Requires basic knowledge of and ability to apply machine learning and radar/signal processing principles, theories, and concepts in support of direct programs, IR&D, and marketing efforts. Primary Responsibilities Designs and develops methods, algorithms, and systems that apply machine learning technologies to support advanced signal processing concepts.

Georgia man charged with scamming woman out of more than $6.5M with fake online relationship

FOX News

Fox News Flash top headlines for Nov. 27 are here. Check out what's clicking on A Georgia man is accused of scamming a Virginia woman out of more than $6.5 million after wooing her into a romantic relationship through an online dating site. Nnamdi Marcellus MgBodile, 35, from Marietta, Georgia, was charged with 20 counts of bank fraud, money laundering and conspiracy to commit bank fraud, according to a Justice Department press release on Wednesday. MgBodile and others also allegedly tried to scam a company out of $350,000 using an email scheme, according to the DOJ.

ISACA Virginia Chapter Herndon Awake Security


The Virginia Chapter of ISACA Herndon monthly meeting will feature a presentation by Eric Poynton, Founder of Awake Security entitled "Machine Learning in Security." An over-reliance on AI and Machine Learning can lead to Risk. The methodologies that compensate for ML's weaknesses might atrophy with such a fixation.

Veterans demonstrate artificial intelligence to stop active shooters before shots are fired


A group of veterans inspired by the need to keep schools and public spaces safer have created a new technology they say can detect guns and send out alerts before shots are ever fired. Active shooter situations have played out across the country – a gunman opened fire inside a Florida high school, shots rang out at a Texas Walmart and multiple people were shot to death in an office building in Virginia Beach. The nation's most recent school shooting happened Thursday morning – when a 16-year-old high school student in Santa Clarita, California, opened fire in the campus quad, shooting five classmates and killing two. What if the gun was detected early – so early, the shooter was never able to get inside to hurt anyone? The technology to do that exists, and only WUSA9 was there when it was tested in Northern Virginia.

AAAI 2019 Fall Symposium Series


All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the AAAI Code of Conduct for Events and Conferences. The Association for the Advancement of Artificial Intelligence is pleased to present the 2019 Fall Symposium Series, to be held Thursday through Saturday, November 7–9 at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. An informal reception will be held on Thursday, November 7. A general plenary session, in which the highlights of each symposium will be presented, will be held on Friday, November 8. For further information, please contact: AAAI Fall Symposium Series 2275 East Bayshore Road, Suite 160 Palo Alto, California 94303 650-328-3123 650-321-4457 (fax) The 2019 Plenary Session, to be held November 8 at 6:00 PM, will have a modified format this year.

Booz Allen, Kaggle and PBS KIDS Partner to Leverage Data Science Tools in Media for Early Childhood Education Insight


MCLEAN, Va.--(BUSINESS WIRE)--Over the last four years, more than 50,000 participants have developed and submitted over 114,000 artificial intelligence (AI) algorithms to improve everything from detection of lung cancer and heart disease, to monitoring ocean health and helping accelerate life-saving medical research as part of the annual Data Science Bowl . In partnership with PBS KIDS, this year's competition will look at advancements in early childhood education. The results will lead to better designed games and improved learning outcomes, empowering children, parents, caregivers and educators across the globe with insights into how young children learn through media and which approaches work best to help them build on foundational learning skills. The 90-day Data Science Bowl competition will award winning participants with a share of $160,000 in cash prizes. Research shows much of the most critical brain development in children takes place before they even reach kindergarten.

The Big Data Challenge - Shaping AI: Recommendations By Virginia Dignum - Big Data Value


Virginia Dignum is professor at the Department of Computing Science at Umea University in Sweden. She is also member of, among others, the European Commission High Level Expert Group on AI, the World Economic Forum Council on AI, the IEEE Global Initiative on Ethically Aligned Design of Autonomous and Intelligent Systems and the European Global Forum on AI (AI4People). She has written a series of blogs for the website, on which the content of this blogpost is based. You can find the hyperlinks to her blogs at the bottom of this page. Facing the challenge of bringing together many views from different disciplines on what AI exactly entails, Virginia's definition of AI offers an overarching perspective: "(…) AI is the discipline of developing computer systems that are able of perceiving their environment, with the ability to deliberate how to best act in order to achieve its own goals, while taking into account that the environment contains other actors similar to itself."

AI Market Leaders Release Enterprise AI Platform Modzy


MCLEAN, Va. - Today, Booz Allen introduces ModzyTM, a first-of-its-kind enterprise artificial intelligence (AI) software product with a mission of its own: putting AI to work through the power of trusted models and a secure, scalable platform. The Modzy platform and model marketplace create the missing AI layer in today's tech stack, accelerating the deployment of AI from the lab to the enterprise. With click-to-deploy access for a growing list of AI models from leading tech companies and open source communities, and an environment to upload, manage and reuse AI models, Modzy greatly reduces risk and barriers to adopting and scaling AI. Interested customers can request an invitation to the Modzy Early Access Program, beginning today. "Achieving the promise of AI requires much more than training the next algorithm. It's about giving organizations choice and having a predictable and repeatable way to rapidly deploy, manage and secure AI models at enterprise scale," said Dr. Josh Sullivan, senior vice president, Booz Allen Hamilton and Modzy executive leader.