Google is getting ready to release its StreetLearn dataset for training machine-learning models to navigate cities without a map. The StreetLearn environment relies on images from Google Street View and has been used by Google DeepMind to train a software agent to navigate various western cities without reference to a map or GPS co-ordinates, using only visual clues such as landmarks as it wanders the streets. The StreetLearn environment encompasses multiple regions within the centers of the cities of London, Paris and New York. It is made up of cropped 360-degree panoramic images of street scenes from Street View, each measuring 84 x 84 pixels. Each panoramic image is a node in larger network or graph of images, with up to 65,000 nodes per 5km city region, and multiple regions per city. Each region has a distinct urban setting, for instance differing amount of construction and varying numbers of parks and bridges.

The OpenAI research group has demonstrated artificial intelligence that can compose authentic-looking fake news articles from a few fragments of information. The OpenAI research group has demonstrated artificial intelligence (AI) that can compose authentic-looking fake news articles from a few fragments of information. After being fed a few sentences of sample text, the software successfully generates a persuasive, but completely false, seven-paragraph news story. The AI was trained to perform language modeling, or predicting the next word of a piece of text based on knowledge of all previous words. OpenAI's Jeff Wu suggested the software could have beneficial applications, like helping creative writers generate ideas or dialogue, or hunting for bugs in software code.

Moving on with the future of artificial intelligence (AI), a text prediction tool can now create a whole article based on the command of one single sentence. Researchers believe that while it can simplify a lot of academic tasks, there are numerous potential threats attached to it as well. A non-profit artificial intelligence research organisation, OpenAI has recently introduced its model called GPT-2 which is developed to write content like humans. With a context of nearly eight million pages fed in it, the model can easily predict about the next word or even whole article after you insert your own sentence to start the topic. Once fed, it will start producing results which are surprisingly more accurate than the human imagination.

For more information on this project, and how it all began from simple lane detection to deep learning, follow the full tutorial series here: https://pythonprogramming.net/game-fr... Twitch.tv/sentdex

Researchers from all over the world contribute to this repository as a prelude to the peer review process for publication in traditional journals. We hope to save you some time by picking out articles that represent the most promise for the typical data scientist. The articles listed below represent a fraction of all articles appearing on the preprint server. They are listed in no particular order with a link to each paper along with a brief overview. Especially relevant articles are marked with a "thumbs up" icon.

As any Machine Learning, AI or Computer Scientist enthusiast will know, finding resources and papers on subjects you're interested in can be a hassle. Often you're required to sign up to a website and some will even try to charge you a subscription fee for reading the work of others. This is what makes the site Papers with code so great; they provide a magnitude of free resources covering a whole host of subjects. The mission of Papers With Code is to create a free and open resource with Machine Learning papers, code and evaluation tables. We believe this is best done together with the community and powered by automation.

Success in the movie industry relies on a studio's ability to attract moviegoers--but that's sometimes easier said than done. Moviegoers are a diverse group, with a wide variety of interests and preferences. Historically, movie studios have relied heavily on experience when deciding to invest in a particular script--but this can lead to huge risks, particularly when investing in new, original stories. The iterative and complex process of matching stories and audiences is something that Julie Rieger, President, Chief Data Strategist and Head of Media, and Miguel Campo-Rembado, SVP of Data Science, together with their team of data scientists at 20th Century Fox, decided to clarify with data. Understanding the market segmentation of the movie-going public is a core function of movie studios.

Europe is home to 5 of the top 10 universities for computer science in the world. It comes as no surprise, then, that Europe is a hub for ground-breaking AI research. Leading institutes are increasingly tackling real-world challenges using AI. And the trend is not limited to those schools traditionally focused on computer science; business-oriented schools are also recognizing the benefits AI can bring. Those institutes at the cutting-edge of AI research are turning to NVIDIA's DGX Systems, the world's first portfolio of purpose-built AI supercomputers, to provide the computing power they need.

There's a four-bedroom Edinburgh unit with "original wood floors," listed by Christine. And there's a two-bathroom apartment in Gainesville with a double sofa bed and open kitchen plan, listed by Michel. A "beautiful apartment" in Berlin has a "floral feeling." A three-bedroom in Rome includes "utilities and toiletries." There's just one problem with these Airbnb listings: they don't exist.

The future took another step forward. But it was stopped right in its tracks by its inventor, OpenAI. According to its website, OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence. Elon Musk is one of the backers. In a recent blog post, OpenAI's technology, called GPT2, was shown to craft written passages that mimic the style and content of a given sample.