Dr. Tambe describes his team's use of security games to combat poaching, and his experience deploying his algorithms to inform park ranger schedules internationally. Dr. Milind Tambe is the Helen N. and Emmett H. Jones Professor in Engineering at the University of Southern California, and Professor in the Computer Science and Industrial and Systems Engineering Departments. He is a founding co-director of the CAIS Center for AI in Society, where he advises students and conducts research on multiagent teamwork, distributed constraint optimization, and security games. The security games framework developed by Dr. Tambe has been deployed and tested nationally and internationally, and led to his co-founding of company Avata Intelligence.

Mario's brother Luigi is the ghostbusting star in'Luigi's Mansion 3,' a new video game coming to Nintendo Switch later this year. LOS ANGELES – Mario is usually front and center for Nintendo, but the video game maker has propelled his brother Luigi to the forefront at this year's Electronic Entertainment Expo. The upcoming game "Luigi's Mansion 3," out later this year for Nintendo Switch, got headlining treatment during the Nintendo Direct online video message Tuesday, just before the doors opened at the E3 expo, which runs through Thursday. The setup: A scary adventure ensues after what Luigi and Mario thought was going to be a fun vacation getaway at an upscale resort, instead turns out to be a trip to haunted hotel. When Mario and Princess Peach go missing, Luigi must become a ghostbuster and find them.

The wait is over as gamers get a glimpse of Activision's 2019 "Call of Duty: Modern Warfare." LOS ANGELES – We already knew that the next "Call of Duty" video game would reclaim the "Modern Warfare" brand. But the Activision-owned studio Infinity Ward revealed new details about the game here at the Electronic Entertainment Expo, showing some footage from the game and talking about its development. Set in the modern day, "Call of Duty: Modern Warfare," out Oct. 25 for PS4, Xbox One and PCs, will pit U.S. and allied troops, including freedom fighters, against an international threat. The game is not a sequel to the trilogy of releases from Infinity Ward that started with 2007's "Call of Duty 4: Modern Warfare" and ended with "Call of Duty: Modern Warfare 3" in 2011.

Researchers at the Samsung AI Center in Moscow, Russia have quite amazingly turned Mona Lisa and other famous subjects of photos and art into realistic talking heads. When an image is presented, the matching landmark features are located and put to work. Such examples include The Mona Lisa, Albert Einstein, and Salvador Dali. The results are spooky, to say the least. We present a system for learning full-body neural avatars, i.e. deep networks that produce full-body renderings of a person for varying body pose and camera position.

One of my favorite things about deep reinforcement learning is that, unlike supervised learning, it really, really doesn't want to work. Throwing a neural net at a computer vision problem might get you 80% of the way there. Throwing a neural net at an RL problem will probably blow something up in front of your face -- and it will blow up in a different way each time you try. A lot of the biggest challenges in RL revolve around two questions: how we interact with the environment effectively (e.g. In this post, I want to explore a few recent directions in deep RL research that attempt to address these challenges, and do so with particularly elegant parallels to human cognition. This post will begin with a quick review of two canonical deep RL algorithms -- DQN and A3C -- to provide us some intuitions to refer back to, and then jump into a deep dive on a few recent papers and breakthroughs in the categories described above.

Few companies had enjoyed the sort of bull run AI chipmaker Nvidia (NVDA) had been on, returning more than 1200% between June 2015 and June 2018, eventually hitting a market cap of about $175 billion by September 2018. Then everything went south – literally – as the market took a historic plunge in the fourth quarter, taking Nvidia with it. However, while many companies have bounced back, Nvidia has continued to languish, sitting at a valuation of about $88 billion, pretty much where it was circa May 2017 when we compared its AI chip technology against AMD (AMD). Now, over the last five years, the two chip manufacturers have returned almost identical value to investors, while a number of upstart startups have risen to also challenge Nvidia's supremacy with new artificial intelligence chips. In fact, it was exactly three years ago that we first introduced you to five startups building artificial intelligence chips, and then followed that up with 12 new AI chip makers in 2017.

For many years, AI/ML has been used to establish the identity of perpetrators, the perpetrators' whereabouts at the time of a criminal act and their actions and whereabouts prior to and following a criminal act. By hand, these are arduous tasks but AI categorization sifting through massive amounts of visual data along with ML behavior scripts AI/ML algorithms can eliminate human errors especially in witness identification and therefore increasing arrest accuracy. "Predictive policing" is the practice of identifying the date, times and locations where specific crimes are most likely to occur, then scheduling officers to patrol those areas in hopes of preventing crimes from taking place, therefore keeping neighborhoods safer. After much research and input from major police departments in cooperation with software suppliers, predictive analytic models have been continuously refined. A profile matrix can be constructed from a database containing known associates, possible DNA found at the scene, gunshot detection, etc.

IMAGE: This is a schematic illustration of MEGNet models. Nanoengineers at the University of California San Diego have developed new deep learning models that can accurately predict the properties of molecules and crystals. By enabling almost instantaneous property predictions, these deep learning models provide researchers the means to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various technological applications, such as high-energy-density Li-ion batteries, warm-white LEDs, and better photovoltaics. To construct their models, a team led by nanoengineering professor Shyue Ping Ong at the UC San Diego Jacobs School of Engineering used a new deep learning framework called graph networks, developed by Google DeepMind, the brains behind AlphaGo and AlphaZero. Graph networks have the potential to expand the capabilities of existing AI technology to perform complicated learning and reasoning tasks with limited experience and knowledge--something that humans are good at.

Rafael, an Israeli defence firm, on Monday announced it had successfully demonstrated a new "automatic target recognition" capability that relies on artificial intelligence and machine learning for the newest variant of its SPICE family of guided air-to-ground bombs. The Indian Air Force is believed to have used SPICE bombs in its attack on a Jaish-e-Mohammed camp in Balakot in February. SPICE is an acronym for Smart, Precise, Impact and Cost-Effective. The SPICE munitions come in three variants: SPICE-2000, -1000 and -250, with the number denoting the weapon's weight class in pounds. The SPICE-250, which weighs around 113kg and the newest variant of the SPICE family, was the version tested with artificial intelligence technology by Rafael.

New research from McKinsey and Quantumblack suggests UK businesses adopting AI could see their value increase by 120 percent within a decade. AI overall could provide a 22 percent GDP boost worth millions to the UK economy, according to the research. However, the report warns that firms which do not integrate AI into their day-to-day business risk around 20 percent of their cash flow today. "By 2030, the average simulation shows that some 70 percent of companies might have adopted at least one type of AI technology but that less than half will have fully absorbed the five categories [computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning]." The UK is well-positioned to take advantage of AI and is the highest ranking country in Europe on McKinsey Global Institute's AI Readiness Index.