Conspicuously absent from the 5th Generation Computer Project's proclaimed goals is one vitally important in a 1990's knowledge-intensive society.....the ability to help people tame mountains of video-based information. A decade from now, the nation will be crisscrossed with fiberoptic bundles capable of simultaneously carrying thousands of hiresolution video conversations, and solid-state video cameras will be as abundant as microphone pickup devices are today. In short, the voice-telephone and printed-page information networks over which we communicate will be joined by 2-way, super-narrowcast video, where each knowledge worker both receives product from myriad sources ad reshapes and originates his own unique product. The main activities interactive video will support are the same ones that will occupy people a decade from nowlearning and teaching. Already, one can "walk through" homes for sale thousands of miles away, learn how to assemble, operate and fix complex machinery, drive around the streets of Aspen, Colorado, and learn facial communication skills using this powerful medium.
Online fashion tech startup Vue.ai is selling technology that analyzes pieces of clothing and automatically generates an image of the garment on a person of any size, shape, or wearing any kind of shoes. Neural networks, the technology that GANs are built on, are an approximation of how our brain works: Millions of tiny, distributed neurons, processing data and passing them along to the next neuron. These networks are trained on thousands of images, and the neurons learn to distinguish different kinds of elbows, hips, and colors. Through trial and error, the two engineers figured out exactly the right neurons to alter the size, weight, or shape of a person, or the hardest part, the shoes they're wearing.
About 4,000 people listened to Cuban as he kicked off his shoes--literally--and explained how AI will change the game for companies, educators, and future developments. He's also keeping his eyes peeled for smaller companies in machine learning and AI, and already has at least three companies in his investment portfolio. "[Software writing] skill sets won't be nearly as valuable as being able to take a liberal arts education … and applying those [skills] in assisting and developing networks." But in order for the country to advance to that future, AI and robotics need to become core competencies in the U.S., and not just in the business world, Cuban said.
Try this Deep Learning App yourself (refresh a couple of times initially if there's Application Error): Dot 0: Deep Learning in Sentiment Analysis Sentiment analysis is a powerful application which extends its arms to the following fields in the modern day world. According to Wikipedia: Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Currently, it's creating waves in the field of Image processing, Natural Language Processing, Speech Processing, Video Processing etc. Movie Review Sentiment App uses a customized data-set of numerous movie reviews from various different sources like IMDB, UCI, Cornell dataset etc The process of making a gold data-set(Prepared data-set for prediction) is a step by step process of Data Collection, Data Cleaning, Data Normalization after which the data can be termed as a gold data-set for the prediction process.
A lot's changed in the two years since Sling TV made its grand debut at CES 2015. Instead of being the only streaming option for cable channels like ESPN and CNN, Sling is now one of three options alongside PlayStation Vue and DirecTV Now, and it will soon have a fourth competitor in Hulu. Accordingly, Sling has changed with the times. The company, a subsidiary of Dish Network, has added new channels, created a second base package with a different mix of channels, and is working on a cloud DVR feature. What else is in store for Sling this year?
Some of our best minds in tech have set out to tackle the problem of fake news with the help of artificial intelligence. A group of researchers, academics, engineers and hackers have come together with the hope that human fact-checkers will pick up the slack when AI technology reaches its limits. This grassroots movement spurred a website, the Twitter hashtag #FakeNewsChallenge, and a presence within online communities like Slack and GitHub. Cade Metz, a senior staff writer at Wired who wrote about this crusade, joined Marketplace host Lizzie O'Leary to talk about AI's role in the fight against fake news. The following transcript was edited for clarity and brevity.
VR will give people experiences money can't buy Whether VR lives up to the hype in the consumer world will depend on the industry's ability to harness it – to give people experiences that money can't buy. To offer people and businesses the'always-best-connected' experience, regardless of device, location, network type or operator, the telecoms industry will start to harness the power of AI. See also: A review of the Ehang Ghostdrone VR 2.0 Imagine universal connectivity without boundaries that will seamlessly route you to the best possible network, with everyone and everything, always connected, everywhere. Creating a world where all networks and applications work harmoniously together to give people this ubiquitous ultra-connected experience is a task that the telecoms industry should start to tackle together in 2017.
On March 15, Instagram posted a note on its blog that sent the internet into a frenzy: "To improve your experience, your feed will soon be ordered to show the moments we believe you will care about the most." Panicked Instagram users protested, afraid their posts would get lost in the revised stream, and began posting pictures with the hashtag #turnmeon, pleading with followers to turn on notifications for their accounts. In response to the uproar, Instagram posted a tweet that amounted to, "Hey, calm down. We're not changing the algorithm yet." At first glance, a tweak to the flow of narcissism and latte art is hardly a significant story.
When we don't understand something, we tend to fear it; which is one reason popular movies like Ex Machina and HBO's nail-biting new series Westworld like to imagine futures in which artificial intelligence plots to destroy humanity. While technologies including Amazon's Alexa have been busy making people's lives outside of the workplace easier, bots were the big office story in 2016, helping companies handle routine tasks such as managing support tickets and streamlining workflows. In the coming years, machine learning will take on more of the non-routine work as well, ushering in the new era of artificial intelligence--one that looks to be far brighter than the future Hollywood typically envisions. In 2017, organisations will turn to interactive intranets to unite all those disparate solutions into a single collaboration hub, ensuring that valuable metadata is visible, searchable and memorable across the enterprise, adding to corporate memory.
Palantir CEO Alex Karp Says Going Public Is'A Possibility' Two false news stories from a website registered in Macedonia. If one looks deeply at the world of "fake news" one finds that much of what makes it possible has its roots in modern journalistic practice. From the inverted pyramid style of summarizing major findings in the headline and lede, while burying the details at the bottom, to writing for one's audience and skipping complex detail, the sacrosanct practices of journalism have been weaponized by the clickbait and fake news communities. Take the standard inverted pyramid format of Western journalism. No matter whether you are writing for a fringe blog or one of the most respected news outlets in the world, the pyramid style of writing means the headline will summarize the article in a few meme-ready share-worthy words, the lead paragraph will offer a tantalizing preview of the major conclusions, and the remaining top-level paragraphs will all convey the big story.