In the last years, AI safety gained international recognition in the light of heterogeneous safety-critical and ethical issues that risk overshadowing the broad beneficial impacts of AI. In this context, the implementation of AI observatory endeavors represents one key research direction. This paper motivates the need for an inherently transdisciplinary AI observatory approach integrating diverse retrospective and counterfactual views. We delineate aims and limitations while providing hands-on-advice utilizing concrete practical examples. Distinguishing between unintentionally and intentionally triggered AI risks with diverse socio-psycho-technological impacts, we exemplify a retrospective descriptive analysis followed by a retrospective counterfactual risk analysis. Building on these AI observatory tools, we present near-term transdisciplinary guidelines for AI safety. As further contribution, we discuss differentiated and tailored long-term directions through the lens of two disparate modern AI safety paradigms. For simplicity, we refer to these two different paradigms with the terms artificial stupidity (AS) and eternal creativity (EC) respectively. While both AS and EC acknowledge the need for a hybrid cognitive-affective approach to AI safety and overlap with regard to many short-term considerations, they differ fundamentally in the nature of multiple envisaged long-term solution patterns. By compiling relevant underlying contradistinctions, we aim to provide future-oriented incentives for constructive dialectics in practical and theoretical AI safety research.

Since their inception, search engines have gone from being basic search agents to sophisticated algorithms based on the artificial intelligence (AI) and machine learning (ML). These innovative technologies affect the Search Engine Optimization (SEO) space from two completely opposite perspectives. On the one hand, it has become much more challenging to promote websites and push them to the top of SERP due to new AI-based ranking algorithms able to perform a very in-depth scan beyond meta. On the other hand, as the overall quality of search results has improved significantly, it is more difficult now to manipulate them using different kludges and black hat practices (albeit still possible which I'll show you below) . All in all, artificial intelligence has fundamentally changed the approach to SEO.

Harmonix is the Boston-based studio responsible for the Guitar Hero and Rock Band series that, during the 2000s, filled front rooms (and, later, attics) with plastic instruments used to role-play rock musicians by means of intricate rhythmic tests. At the height of the genre's popularity, Harmonix worked with the Beatles' estate to convert the band's back catalogue to the interactive format. Consumer weariness toward plastic video game peripherals, however, precipitated a crisis. Fuser is Harmonix's attempt to reinvigorate the music game it once popularised, this time by casting its player as a DJ tasked with mixing and splicing assorted hits to delight a virtual audience. This is a far more creative proposition than the Simon-says format of earlier rhythm games, where your job was merely to strike buttons in time with the music.

COURSE DESCRIPTION: The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video). We will cover acquisition, representation, and manipulation of visual information from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography). Key algorithms will be presented, ranging from classical (e.g. ConvNets, GANs), with an emphasis on using these techniques to build practical systems. This hands-on emphasis will be reflected in the programming assignments, in which students will have the opportunity to acquire their own images and develop, largely from scratch, the image analysis and synthesis tools for solving applications.

The main aim of the project is to create amazing line art portraits. Lets cartoonize the lineart portraits, its still in the making but have a look at some pretty pictures. The amazing results that the model has produced has a secret sauce to it. The initial model couldn't create the sort of output I was expecting, it mostly struggled with recognizing facial features. I wanted to break-in and produce results that could recognize any pose.

… artificial intelligence and cognitive innovation applications makes use of deep learning and machine learning algorithms to design more customized …

Social media popularity and importance is on the increase, due to people using it for various types of social interaction across multiple channels. This social interaction by online users includes submission of feedback, opinions and recommendations about various individuals, entities, topics, and events. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio. Therefore, through Social Opinion Mining, natural language can be understood in terms of the different opinion dimensions, as expressed by humans. This contributes towards the evolution of Artificial Intelligence, which in turn helps the advancement of several real-world use cases, such as customer service and decision making. A thorough systematic review was carried out on Social Opinion Mining research which totals 485 studies and spans a period of twelve years between 2007 and 2018. The in-depth analysis focuses on the social media platforms, techniques, social datasets, language, modality, tools and technologies, natural language processing tasks and other aspects derived from the published studies. Such multi-source information fusion plays a fundamental role in mining of people's social opinions from social media platforms. These can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance, healthcare, sports and government. Future research directions are presented, whereas further research and development has the potential of leaving a wider academic and societal impact.

Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. Oscar Isaac just landed the ultimate sandbox gig. The Golden Globe-winner is set to portray one of the most legendary secret operatives named Solid Snake in "Metal Gear Solid," an upcoming film based on the wildly popular videogame of the same name, according to Deadline. Created by Hideo Kojima and published by Konami, "Metal Gear Solid" was first launched on PlayStation in 1998.

AI vs. The Human Brain: The Final Showdown premieres Wednesday, December 9 at 10 p.m. on THIRTEEN. There’s so much misinformation about …

Artificial intelligence promises to drive the growth of the United States economy and improve the quality of life of all Americans.