Media
Former CNN Exec Klein Brings News on Artificial Intelligence - Broadcasting & Cable
Why This Matters: While TV companies tout navigation, Silicon Valley giants are using AI, personalization to draw viewers to OTT. Leave it to a reporter to find a good navigation tool. Former CBS News and CNN executive Jon Klein believes the TV business needs artificial intelligence to compete with the digital giants whose streaming and over-the-top video offering are accumulating viewers and revenues. Klein is worth listening to. At CNN, he was an early adopter of social media as a newsgathering tool.
The combination of context information to enhance simple question answering
Abstract--With the rapid development of knowledge base, question answering based on knowledge base has been a hot research issue. In this paper, we focus on answering singlerelation factoid questions based on knowledge base. We build a question answering system and study the effect of context information on fact selection, such as entity's notable type, outdegree. Experimental results show that context information can improve the result of simple question answering. Question answering (QA) is a classic natural language processing task, which aims at building systems that automatically answer questions formulated in natural language [1]. In recent years, several large-scale general purpose knowledge bases (KBs) have been constructed, including Freebase [2], YAGO [3], DBpedia [4] and Wikidata [5] .
Killer robots are almost a reality and need to be banned, warns leading AI scientist
The technology to create killer robots is already here and needs to be banned, a leading artificial intelligence scientist has warned. Stuart Russell, a professor of computer science at Berkeley University, California, said "allowing machines to choose to kill humans" would be "devastating" for world peace and security. The professor, who has worked in the field of artificial intelligence (AI) for more than 35 years, also warned that the window to ban lethal robots was "closing fast". His warning comes as campaigners are making the case at the United Nations (UN) this week for a global prohibition on lethal autonomous weapons systems. Yesterday the pressure group, the Campaign to Stop Killer Robots, showed a short film it produced to a meeting of countries participating in the Convention on Conventional Weapons, which painted a dystopian scenario based on existing technologies.
Netflix 'addict' reportedly checks into treatment in Indian clinic's first case
Here is what is streaming on Netflix in October of 2018, including "Empire Records," the second season of "Big Mouth" and "Making a Murderer: Part 2" USA TODAY Netflix eats up 15% of the global internet's bandwidth capacity by streaming video to over 125 million users. Netflix knows it has a grip on viewers: The average subscriber streamed 50 minutes of Netflix a day last year, according to a CNBC report, and CEO Reed Hastings admits he wants to keep you watching. "You know, think about it, when you watch a show from Netflix and you get addicted to it, you stay up late at night," Hastings said in an earnings call last year, per Recode. Now, a Netflix superuser in India who watched more than seven hours a day has admitted he needs help, the Hindu reported. The unidentified 26-year-old checked into the National Institute of Mental Health and Neurosciences in Bangalore last week after using Netflix to escape the reality of his unemployment for six months, according to the newspaper.
Amazon Echo Show (2018) review: Much-needed refinements
When Amazon unveiled the Echo Show last year, many people made fun of it for its bulky, awkward appearance. But it proved to be a pioneer in the smart display category, showing that adding a screen to a voice assistant was actually useful. So much so, that Google followed a few months later with its own line of Echo Show rivals, thanks to partners like Lenovo and JBL. Google's smart displays were better-looking and had a more intuitive interface, with desirable features like step-by-step recipes and YouTube integration. Amazon must have taken note of the competition, however, because the new Echo Show has undergone a serious upgrade, with an improved design, superior sound quality and enhanced entertainment options.
Amazon Echo Show (2nd Gen) review: Better in every way, and better than every other smart display
The second-generation Echo Show is better than the first in every respect, ranging from its industrial design to its audio and video performance. It's the best smart display today, but that could change as soon as tomorrow if Google announces its own smart display and it turns out to be great. Sonos, meanwhile, still has the best smart speakers for music (the Sonos One and the Sonos Beam). While the second-generation Echo Show is powered by the same system-on-chip as the first-generation Echo Show (a quad-core Intel Atom x5-Z8350), the new model is outfitted with a larger, higher-resolution display; better loudspeakers; a more attractive enclosure; an integrated ZigBee smart home hub; and even the option for hardwired ethernet. Alexa is also becoming a better digital assistant, a development that will improve every Echo model.
How Sci-Fi Like WarGames Led to Real Policy During the Reagan Administration
On Oct. 11, in Washington, Future Tense will host a free screening of WarGames, followed by a discussion with Open Technology Institute director Kevin Bankston and sci-fi author Malka Older. This year, John Badham's WarGames--one of the movies most beloved by hackers, techies, and tech policy wonks (like me!)--celebrates its 35th anniversary. Though it may look a little kitschy now, it was notable for several firsts: It was the first popular film depiction of the now well-known hacker archetype. It raised the specter of an artificial intelligence starting World War III a year before James Cameron's The Terminator did, and it introduced America to a young Matthew Broderick. WarGames is the alternately lighthearted and deadly serious tale of a wargaming A.I. at U.S. missile command that almost sparks a nuclear war after being broken into by a troublesome but well-intentioned teenage hacker.
Branded Chatbots Changing the Way We Deal With Customers Think Design
You'd have to agree, customer service has taken a *yuge leap this decade. From human backend interaction to artificial intelligence assistants – chatbots have officially taken over the world and people are ironically enjoying it. Over 80% of the 800 decision makers surveyed by Oracle said they are already using or they want to use chatbots for business by 2020. Before we explore the branded chatbots, let's learn where the chatbots live? Here are the ten brands using chatbots to change the way we deal with customers on all three levels of the buyer's journey including awareness stage, consideration stage and decision stage.
MIT shows how to tackle fake news using AI and ML
After the recent uproar about "fake news", it is again all quiet in India. Well, not until, another lynching or riot happens. Whatsapp is busy spreading the use of it's service, rather than strengthening it. The issue is going to haunt us again, very soon. There are two big components of "fake news": misinformation and extreme bias.
Understanding the Origins of Bias in Word Embeddings
Brunet, Marc-Etienne, Alkalay-Houlihan, Colleen, Anderson, Ashton, Zemel, Richard
The power of machine learning systems not only promises great technical progress, but risks societal harm. As a recent example, researchers have shown that popular word embedding algorithms exhibit stereotypical biases, such as gender bias. The widespread use of these algorithms in machine learning systems, from automated translation services to curriculum vitae scanners, can amplify stereotypes in important contexts. Although methods have been developed to measure these biases and alter word embeddings to mitigate their biased representations, there is a lack of understanding in how word embedding bias depends on the training data. In this work, we develop a technique for understanding the origins of bias in word embeddings. Given a word embedding trained on a corpus, our method identifies how perturbing the corpus will affect the bias of the resulting embedding. This can be used to trace the origins of word embedding bias back to the original training documents. Using our method, one can investigate trends in the bias of the underlying corpus and identify subsets of documents whose removal would most reduce bias. We demonstrate our techniques on both a New York Times and Wikipedia corpus and find that our influence function-based approximations are extremely accurate.