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,

The phrase "artificial intelligence" in pop culture often conjures up dystopian images such as the sentient computer Hal 9000 from the 1968 film "2001: A Space Odyssey" that killed people for its self preservation; or the cyborg assassin with a metal endoskeleton in director James Cameron's "The Terminator." In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.

Missile could strike U.S. withing 30 minutes; retired Army Gen. Anthony Tata reacts. China's Communist Party marked 70 years in power Tuesday with a military parade showcasing the country's global ambitions and advancements in weapons technology. Trucks carrying nuclear missiles designed to evade U.S. defenses, a supersonic attack drone and other products of a two-decade-old weapons development effort rolled through Beijing as soldiers marched past President Xi Jinping and other leaders on Tiananmen Square. Fighter jets flew over spectators who waved Chinese flags. The display highlighted Beijing's ambition for strategic influence to match its status as the second-largest global economy, even as Xi's government suppresses dissent that illustrates the tensions between a closed, one-party dictatorship and a rapidly evolving society.

Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning Sam Ganzfried 1, Conner Laughlin 2, Charles Morefield 2 1 Ganzfried Research 2 Arctan, Inc. Abstract Many real-world domains contain multiple agents behaving strategically with probabilistic transitions and uncertain (potentially infinite) duration. Such settings can be modeled as stochastic games. While algorithms have been developed for solving (i.e., computing a game-theoretic solution concept such as Nash equilibrium) two-player zero-sum stochastic games, research on algorithms for nonzero-sum and multi-player stochastic games is very limited. We present a new algorithm for these settings, which constitutes the first parallel algorithm for multiplayer stochastic games. We present experimental results on a 4-player stochastic game motivated by a naval strategic planning scenario, showing that our algorithm is able to quickly compute strategies constituting Nash equilibrium up to a very small degree of approximation. Introduction Nash equilibrium has emerged as the most compelling solution concept in multiagent strategic interactions. For two-player zero-sum (adversarial) games, a Nash equilibrium can be computed in polynomial time (e.g., by linear programming). This result holds both for simultaneous-move games (often represented as a matrix), and for sequential games of both perfect and imperfect information (often represented as an extensive-form game tree).

Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as trajectory prediction. In our days, the vast amounts of data being continuously produced add the big data dimension to the trajectory prediction problem, which we are trying to tackle by creating a {\lambda}-Architecture based analytics platform. This platform performs both batch and stream analytics tasks and then combines them to perform analytical tasks that cannot be performed by analyzing any of these layers by itself. The biggest benefit of this platform is its context agnostic trait, which allows us to use it for any use case, as long as a time-stamped geolocation stream is provided. The experimental results presented prove that each part of the {\lambda}-Architecture performs well at certain targets, making a combination of these parts a necessity in order to improve the overall accuracy and performance of the platform.

Despite a tremendous amount of work in the literature and in the commercial sectors, current approaches to multi-modal trip planning still fail to consistently generate plans that users deem optimal in practice. We believe that this is due to the fact that current planners fail to capture the true preferences of users, e.g., their preferences depend on aspects that are not modeled. An example of this could be a preference not to walk through an unsafe area at night. We present a novel multi-modal trip planner that allows users to upload auxiliary geographic data (e.g., crime rates) and to specify temporal constraints and preferences over these data in combination with typical metrics such as time and cost. Concretely, our planner supports the modes walking, biking, driving, public transit, and taxi, uses linear temporal logic to capture temporal constraints, and preferential cost functions to represent preferences. We show by examples that this allows the expression of very interesting preferences and constraints that, naturally, lead to quite diverse optimal plans.

Fifty years ago, Mike Sanders watched with awe and anticipation as the crew of Apollo 11--Neil Armstrong, Buzz Aldrin, and Michael Collins--splashed down in the Pacific Ocean. Landing men on the moon and returning them safely to the earth was a seminal moment in the history of flight, and it had a profound effect on then 7-year-old Sanders, who now heads the Lone Star UAS Center of Excellence & Innovation at Texas A&M University–Corpus Christi. Looking back, Sanders says he never expected the day to come when he would be working with NASA on anything, let alone another chapter in the history of flight. But this year, he landed in the middle of one of the most important aeronautical projects of this generation: an effort to build a safe and effective unmanned aircraft system traffic management (UTM) platform. In August, Texas A&M–Corpus Christi's Lone Star UAS Center of Excellence and its partners' workers stood alongside NASA scientists and engineers as they flew 22 small physical and digital drones above and between tall buildings in five areas of Corpus Christi. The low-altitude test culminated a five-year effort to learn what it would take to build a nationwide system for managing low-altitude drone traffic.

The words "hack" and "hacker" started in the same place in English language history, split in meaning to mean horse and a brutal action verb. Curiously, these two words were reunited 2000 years later in the world of silicon chips, code, and programming. According to one of the best English etymological dictionaries available anywhere, the word "hacker", with the sense of evil/good and brilliant computer programmer was born in the halls of the MIT. This fact alone reminds us that culture and words begin in actual places. At that time, to hack code, or hack out code, had a definitely negative connotation.

Recent leaks of Waymo rider satisfaction scores reported by "The Information" (paywall) suggest that in the Phoenix area, Waymo has gotten 70% 5-star and 30% lesser feedback from riders over about 6,100 trips. Another 4,000 trips in the San Francisco Bay Area, taken by employees, have a lower score, with 47% having some problem. Problems included bad routes, occasional driving issues, being dropped off at less convenient spots and even a few worries about safety but no actual incidents. The analysis in the original piece is somewhat negative, feeling this feedback rate is problematic. I think in many ways it's a triumph. This is, after all, one of the most complex and difficult consumer product challenges ever attempted.

In May of last year, after a 13-month slumber, the ground beneath Washington's Puget Sound rumbled to life. The quake began more than 20 miles below the Olympic mountains and, over the course of a few weeks, drifted northwest, reaching Canada's Vancouver Island. It then briefly reversed course, migrating back across the US border before going silent again. All told, the monthlong earthquake likely released enough energy to register as a magnitude 6. By the time it was done, the southern tip of Vancouver Island had been thrust a centimeter or so closer to the Pacific Ocean.