You sit down to watch a movie and ask Netflix for help. Zoolander 2?") The Netflix recommendation algorithm predicts what movie you'd like by mining data on millions of previous movie-watchers using sophisticated machine learning tools. And then the next day you go to work and every one of your agencies will make hiring decisions with little idea of which candidates would be good workers; community college students will be largely left to their own devices to decide which courses are too hard or too easy for them; and your social service system will implement a reactive rather than preventive approach to homelessness because they don't believe it's possible to forecast which families will wind up on the streets. You'd love to move your city's use of predictive analytics into the 21st century, or at least into the 20th century. You just hired a pair of 24-year-old computer programmers to run your data science team. But should they be the ones to decide which problems are amenable to these tools? Or to decide what success looks like?
Artificial intelligence (AI) is not just a technology seen in futuristic Hollywood films involving AI-powered robots and super-intelligent machines -- it's now an increasingly mainstream technology that is being used by companies you probably interact with on a daily basis. Facebook, for example, uses AI for image recognition, while Netflix uses AI to make content recommendations. So it's perhaps no surprise that AI can also be used for a wide range of other functions, including business development and strategic partnerships. My company creates AI solutions including predictive analytics, natural language processing and virtual sales assistants. Here are some of the benefits and downsides I've noticed in these technologies -- and how to tell whether they have a place in your organization as either a built or bought solution.
How do companies like Amazon and Netflix know precisely what you want? Whether it's that new set of speakers that you've been eyeballing, or the next Black Mirror episode -- their use of predictive algorithms has made the job of selling you stuff ridiculously efficient. But as much as we'd all like a juicy conspiracy theory, no, they don't employ psychics. They use something far more magical -- mathematics. Today, we'll look at an approach called collaborative filtering.
CBS's research team is getting a faster read on how viewers respond emotionally to its TV shows -- by using the dispassionate logic of machines. The broadcaster is using the data-analytics platform developed by New York startup Canvs, which uses proprietary artificial-intelligence processing to parse natural-language comments. CBS started using the Canvs Surveys tool to automate the coding of open-ended responses to surveys fielded by its research team starting in the fourth quarter of 2018. It now uses Canvs to process feedback on its entire slate of programming and tentpole events, including viewer response to this month's Super Bowl LIII and Grammy Awards broadcasts. The real power of the AI system is its ability to crunch unstructured data far more efficiently than human researchers can, said Radha Subramanyam, chief research and analytics officer at CBS.
Samsung's Galaxy Home smart speaker will go on sale by April, president DJ Koh told CNET today. The Korean tech giant's answer to the Google Home, Amazon Echo, and Apple HomePod debuted in August 2018, but no pricing or release dates were provided at that time. The news was shared today at Unpacked, an event at the Bill Graham Civic Auditorium in San Francisco where Samsung introduced new devices like its flagship S10 smartphones, the Galaxy Fold that can unfurl into a 7.3-inch tablet, and Galaxy Buds with Bixby. Galaxy Home will be the first smart speaker to operate with Samsung's Bixby smart assistant. The speaker sits atop a tripod and includes spatial intelligence that ensures sound quality by taking into account the size of the room, as well as Spotify-enabled music recommendations.
Unsurprisingly, one of the features that differentiates these models is the camera system. Gone are the days, after all, where one camera would suffice. Now, all the S10 models, except for the budget S10e, feature at least three rear cameras, and the high-end 5G model even goes for four -- and all of them promise more AI smarts and better video stabilization. All models get at least a standard 12MP rear wide-angle camera with a 77-degree field of view, a 16MP ultra-wide-angle camera for 123-degree shots and a 10MP selfie camera. The standard S10 then adds a 12MP telephoto lens to the rear camera setup and the S10 gets an 8MP RGB-depth camera.
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.
Clarifai's API is another image recognition tool that doesn't require any machine learning knowledge prior to implementation. It can recognize images and also perform thorough video analysis. A user can start to make image or video predictions with the Clarifai API after they specify a parameter. For example, if you input a "color" model, the system will provide predictions about the dominant colors in an image. You can either use Clarifai's pre-built models or train your own one.
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.