AI Magazine

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 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.

Mark Cuban: Invest in AI or Get Left Behind


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.

End to End Deep Learning.


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.

Premiere week ratings show TV networks still have a youth problem

Los Angeles Times

It's a new TV season, but the first week's ratings indicate that the networks will be facing what has become the same old problem with younger viewers. During premiere week for the 2016-17 season, overall prime-time TV usage was off around 7% among the 18-to-34 age group compared with a year ago, based on Nielsen data. The number has been on a downward trend over the last few years, reflecting the emergence of online video streaming and video on demand. "They are watching," Jeff Bader, president of program planning, strategy and research for NBC, said of the increasingly elusive younger demographic. "They are just watching in different places.

First Clinton-Trump matchup breaks presidential debate record with about 84 million TV viewers

Los Angeles Times

The contentious first presidential debate between Hillary Clinton and Donald Trump lived up to its big ratings expectations with an estimated average TV viewership that will top the previous record of 80.6 million. The total average audience for Monday's matchup for the ad-supported broadcast and cable networks as well as PBS came in at about 84 million, according to Nielsen numbers. Monday's faceoff tops the previous record for a presidential debate set when Jimmy Carter and Ronald Reagan clashed on Oct. 28, 1980. It was their only meeting of that year's presidential campaign, which occurred in an era when U.S. households had only a handful of channels to choose from. The total across broadcast and cable networks measured by Nielsen for the Clinton-Trump debate does not include viewers who watched the debate through various video streams available online.

People and EW! launch a joint online video network


Time Inc. has announced that it's launching PEN, an online video network serving clips and shows from People and Entertainment Weekly. The service is free, supported by advertising and will broadcast more than 300 hours of original programming in the first 12 months of operation. The rest of the on-demand schedule will be filled by an "extensive library" of on-demand clips from Time Inc's library of shows. PEN arrives tomorrow, September 13th, and will also syndicate shows from other Time Inc. properties, including Time and Sports Illustrated. PEN is an abbreviation of the People / Entertainment Weekly Network and will basically translate the two's current video properties to this new network.

Race on for "Internet of Things" (IoT) networks - Business News The Star Online


PETALING JAYA: New city-wide networks are being built in the country that will enable the entry of the "Internet of Things" or IoT type applications. The latest player to enter this space is little-known Atilze Digital Sdn Bhd, a wholly-owned unit of Penang-based Yen Global Bhd. Last month, Telekom Malaysia Bhd said it was rolling out a similar nationwide network. Both Atilze Digital and TM are planning to roll out networks based on "LoRa" technology. LoRa is an open standard for low power wide area networks (LPWANs), which are created to connect low-power devices, such as sensors, over a wide area at lower prices.

Apple might be quietly preparing an assault on the cable box via its Apple TV


On the surface, Apple TV seems increasingly focused on cable subscribers instead of cord cutters. Since its launch last fall, the fourth-generation Apple TV has added several features that provide more convenient access to "TV Everywhere" apps (such as WatchESPN, FX Now, and HBO Go) that require a cable or satellite login to access. Siri is becoming more effective at finding what you want from these channels; the download process is becoming more streamlined; and with the next version of Apple's tvOS software, logging into these apps will become much less of a hassle. While these are useful improvements, it's hard to believe cable subservience is Apple's true goal. For a device that's supposedly the "future of television," its best features are becoming awfully dependent on a cable subscription, which in turn requires a cable box.

Artificial Intelligence Explodes: New Deal Activity Record For AI Startups


Equity deals to startups in artificial intelligence -- including companies applying AI solutions to verticals like healthcare, advertising, and finance as well as those developing general-purpose AI tech -- increased nearly 6x, from roughly 70 in 2011 to nearly 400 in 2015. Q1'16 saw a new peak in deal activity to the category. So far in 2016 (as of 6/15/2016), over 200 AI-focused companies have raised nearly 1.5B in equity funding. Our analysis includes all equity funding rounds and convertible notes. Deals and dollars reached a new high in 2015.