When it comes to future military readiness, 2019 has been the year of artificial intelligence. The Department of Defense launched its AI strategy in February followed by the White House's executive order on "Maintaining American Leadership in Artificial Intelligence" -- both of which indicate accelerated delivery of AI-enabled capabilities and scaling the technology across DOD while cultivating a much-needed tech workforce. Military leaders recognize AI's potentially seismic impact on their mission and operations, and they expect practical applications to proliferate, from threat monitoring to asset tracking to predictive maintenance. Where, when and how those applications evolve from idea to reality is an unfolding story. So too is the global AI landscape, as Russia, China and other countries make substantial investments in such capabilities.

The increasing use of AI in public administration raises many ethical challenges, not the least of which is ensuring that the decisions made by these systems are consistent with the legal requirements and norms of the field. The National Capital Area Chapter of ASPA will sponsor a discussion on this topic with Professor Pricilla Regan, Professor of Government and Politics at the Schar School of Policy and Government, George Mason University. Dr. Regan recently co-authored a chapter titled, "A Public Administrator's Practical Guide to Ethics and Artificial Intelligence" in The National Academy of Public Administration's study of the impact of AI in the field. Light snacks and refreshments will be served.

To start right away on your own machine with your own images or videos without training the models yourself, you'll need to download the "Completed Generator Weights" listed below and drop them in the /models/ folder. The colorization inference notebooks should be able to guide you from here. The notebooks to use are named ImageColorizerArtistic.ipynb,

Last week Google released several thousand deepfake videos to help researchers build tools that use artificial intelligence to spot altered videos that could spawn political misinformation, corporate sabotage, or cyberbullying. Google's videos could be used to create technology that offers hope of catching deepfakes in much the way spam filters catch email spam. In reality, though, technology will only be part of the solution. That's because deepfakes will most likely improve faster than detection methods, and because human intelligence and expertise will be needed to identify deceptive videos for the foreseeable future. Deepfakes have captured the imagination of politicians, the media, and the public.

SilverCloud Health, the world's leading digital mental health company, today officially announced its research collaboration with Microsoft to further enhance its online offering with artificial intelligence (AI). SilverCloud and Microsoft have been working together over the past 18 months conducting research that combines Microsoft's cutting-edge machine learning and AI technologies with SilverCloud's expertise in real-world delivery of evidence-based interventions and mental health outcomes. Mental illness is a significant disease and economic burden; one in four adults globally are affected by a diagnosable mental health condition in any given year but access to mental healthcare is often unavailable because of long wait times or under-staffed care organizations. The delivery of care online helps to overcome these barriers. SilverCloud's digital mental health platform is deployed globally in routine clinical care providing coverage to 65 million people today.

Businesses across almost every industry deploy artificial intelligence to make jobs simpler for staff and tasks easier for consumers. Computer software teaches customer service agents how to be more compassionate, schools use machine learning to scan for weapons and mass shooters on campus, and doctors use AI to map the root cause of diseases. Sectors such as cybersecurity, online entertainment and retail use the tech in combination with wide swaths of customer data in revolutionary ways to streamline services. Though these applications may seem harmless, perhaps even helpful, the AI is only as good as the information fed into it, which can have serious implications. You might not realize it, but AI helps determine whether you qualify for a loan in some cases.

I went to UCLA film school, did graduate work in media studies, and early on worked as a development executive at 21st Century Fox. Most weekends I see three or four movies in theaters. Now I work in technology, and I'm witnessing firsthand its transformative effect on the media and entertainment industry. Technology is enabling the democratization of content--access any time, anywhere, on any device--and the impact on media and entertainment company business models and consumer interactions is deep and far-reaching. Recently I spoke with media and entertainment expert Jukka Paajanen, a cloud solution hub senior director at Oracle, about the opportunities and challenges emerging technology presents to the industry.

This year in Detroit, crews working for the city's public housing authority cut down a row of bushy trees that had shaded the entryways to two public housing units known as Sheridan I and II. Their aim: to give newly installed security cameras an unobstructed view of the hulking, gray edifices, so round-the-clock video footage could be made available to the Detroit Police Department and its new facial recognition software whenever the Detroit Public Housing Commission files a police report. "I think that police departments won't make frivolous claims based solely on technology," said Sandra Henriquez, the commission's executive director. She added, "I think that they will use the technology as one tool that they use in bringing people into the criminal justice system." To critics of the widening reach of facial recognition software, such assurances are likely to ring hollow.

In our case, the data was provided by Safecity India, which is a platform launched on 2012, that crowdsources personal stories of sexual harassment and abuse in public spaces [2]. They have collected over 10,000 stories from over 50 cities in India, Kenya, Cameroon, and Nepal. More specifically they provided us a .cvs Additionally to the focal tasks of this project and as part of the NLP channel we decided to automate the category classification based on the sexual harassment case descriptions. Performing this classification task manually is time-consuming and leaving it entirely on the hands of the victim could produce ambiguity in the discrimination of the categories.

Introduced by Conner Prochaska, Chief Commercialization Officer, U.S. Department of Energy This panel highlights the breadth of research in AI across the national laboratory complex and discusses how this research fits into the recently announced National AI Initiative; several notable collaborations in AI between companies and national labs are discussed. Applications of AI to solving core problems in energy grid optimization are discussed. In particular, AI approaches to energy grid security, flexibility, and reliability in light of future energy demands are highlighted. Panel participants include representatives from major utilities. State of applications of AI to transformative problems in drug discovery are discussed; ATOM Partnership is highlighted; future opportunities across disease areas are discussed with participants from life sciences companies.