Are you working with image data? This got me thinking -- what can we do if there are multiple object categories in an image? Making an image classification model was a good start, but I wanted to expand my horizons to take on a more challenging task -- building a multi-label image classification model! I didn't want to use toy datasets to build my model -- that is too generic. And then it struck me -- movie/TV series posters contain a variety of people. Could I build my own multi-label image classification model to predict the different genres just by looking at the poster?
A documentary exploring how artificial intelligence is changing life as we know it -- from jobs to privacy to a growing rivalry between the U.S. and China. FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society. This journalism is made possible by viewers like you. Support your local PBS station here: http://www.pbs.org/donate Find us on the PBS Video App where there are more than 250 FRONTLINE documentaries available for you to watch any time: https://to.pbs.org/FLVideoApp
In March 2018, an eerie portrait created by an artificial intelligence program sold at Christie's Auction House for almost half a million dollars. A few months later, a movie written and directed by an AI algorithm was released amid much hype. And this March, a record company signed an AI artist for the first time. Artificial creativity is the subject of the second episode of the Sleepwalkers podcast, an ongoing series exploring the implications of AI. Machine-made art has flourished in recent years, thanks to advances in AI, and some examples are both impressive and unnerving.
Save room for some Tweezers, Olives and Seafood Apple Pie. The holiday season means festive pies are usually part of the menu. Pumpkin pie and mincemeat pie are typical desserts. But perhaps it's time to consider having a slice of Onion Cassette Pie. That particular pie idea was thought up by artificial intelligence.
Minority Report was a classic Steven Spielberg sci-fi film. Employing tech-noir, the film exhibited a dystopian plot showcasing the dire pitfalls and consequences of predictive law enforcement. The movie conceived a futuristic technology, mixing psychics and premonitions, to pre-empt crime, with a suspect apprehended using a special department labelled, quite literally, "PreCrime". Similar themes surrounding the deployment of intelligent machines to aid in law enforcement and criminal justice, which in turn go awry, have consistently featured in popular culture. These seemingly grandiose notions of artificial intelligence (AI) are rapidly finding themselves at play in real life.
Sci-fi is a large and interesting genre for anyone who gets curious about what the future may hold. From flying cars to dystopian corporations, nothing is outside its range. RELATED: 10 2000s Sci-Fi Masterpieces You've Probably Never Seen There are tons of robot movies, B-grade schlock-fests like Chopping Mall, and big budget productions like Blade Runner: 2049. There's no such thing as an objective film rating, but IMDb is great for getting a consensus from the public. Let's see what they have to tell us about robots!
When we provide ratings for products and services on the internet, all the preferences we express and data we share (explicitly or not), are used to generate recommendations by recommender systems. The most common examples are that of Amazon, Google and Netflix. In this article, I have combined movie attributes such as genre, plot, director and main actors to calculate its cosine similarity with another movie. The dataset is IMDB top 250 English movies downloaded from data.world. Exploring the dataset, there are 250 movies (rows) and 38 attributes (columns).
Welcome to TechCrunch's 2019 Holiday Gift Guide! Need help with gift ideas? We'll be rolling out gift guides from now through the end of December, so check back regularly. We've refreshed our annual STEM toy gift guide with the latest wares clamoring to entice and inspire kids with coding tricks and electronic wizardry. But lean in to this market and you'll find a number of STEM toy makers have winked out of existence since this time last year, or else been folded into others' empires. Such as littleBits selling to Sphero this fall, or Root Robotics being picked up by robot vac giant iRobot in June.
Chatbots currently are one of the most popular AI technologies in the enterprise world. Bots are being deployed for different functions of an organization – be it engaging customers, training employees, driving sales, providing IT Helpdesk or HR support, generating leads etc. These intelligent machines provide instant service, round the clock – you don't need to keep your customers/employees waiting 24 hours for the next support agent to come online. However, bots weren't equipped for intelligent and smart conversations when they were first invented. Chatbots have undergone several advancements in the past few years.
"Aren't you two ever going to read Hogwarts, A History?" How many times throughout the Harry Potter series does Hermione bug Harry and Ron to read the enormous tome Hogwarts, A History? Hint: it's a lot. How many nights do the three of them spend in the library, reading through every book they can find to figure out who Nicolas Flamel is, or how to survive underwater, or preparing for their O.W.L.s? The mistake they're all making is to try to read everything themselves. Remember when you were in school and stumbled upon the CliffsNotes summary of that book you never read but were supposed to write an essay about? That's basically what text summarization does: provide the CliffsNotes version for any large document.