If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Google has grand ambitions for artificial intelligence (AI). A large chunk of the web giant's future business will rely on machine learning to power its range of upcoming services and products like self-driving cars, AI chatbots, and virtual reality devices. But AI requires powerful computing. While no stranger to building its own hardware, Google has traditionally bought components such chips from already established players like Intel. This relationship took a twist this week when the company revealed that it has indeed been making its very own long-rumoured chips, designed specifically for machine learning.
Chase McMichael, NAB VIDEO Intro – Top Video Platforms and Video Machine Learning made a big splash at NAB 2016. The event was all about digital video, video production, VR, drones and every other technology you could imagine. Think of NAB as the as the CEO of digital and video broadcasting. Everywhere you looked there was drone technology, robotics and even a full area dedicated to VR. The future of video publishing is bright for sure as new technology simplifies quality capture and distribution.
The 2016 IEEE GRSS Data Fusion Contest, organized by the IADF TC, was opened on January 3, 2016. The submission deadline was April 29, 2016. Participants submitted open topic manuscripts using the VHR and video-from-space data released for the competition. Evaluation and ranking were conducted by the Award Committee. The winners are reported below along with the abstracts of the submitted papers.
Many people and companies seem to think of "cognitive computing" as a separate area from analytics. Most large organizations today have significant analytical initiatives underway, but they think of the cognitive space as being an exotic science project. One executive told me, "We have no desire to win Jeopardy," an allusion of course to the IBM Watson project from 2011. But cognitive computing is not just about Watson, and it's not an exotic science project.
Some of the answers were remarkable. Based on cues from the environment, and the imaginations of the people, they came up with all sorts of ideas about what the robot was up to – views that were generally quite wrong. For instance there is a bucket in the room, and several people were sure the robot was trying to throw something into it. Others noticed an abstract picture in the room and wondered if the robot was going to complete the picture. These people were mainly graduates in professional jobs, and several had science, technology, engineering or maths degrees.
"We think of the Assistant as a fundamentally different product than search and we think it's going to be used in a different way," John Giannandrea, Google's new search and artificial intelligence chief, said onstage at the I/O developer conference. He didn't delve into specifics, beyond noting that the Assistant is built more around conversations -- tech that talks, nudges and prompts you, not just gives answers. Still, the Google SVP cautioned, dialogue and language are "the big unsolved problems in computer science." One difference could come in the business model. Instead of ads, which support search, Google may dole out its upcoming AI tech to companies and devices that want it.
Alphabet Inc.'s (NASDAQ:GOOG) advertising "profit engine" has been significantly overturned by the smartphone boom, and it has taken quite some time for the company to adapt to the "new world order." The next upcoming wave of computing poses an even greater challenge. At the Google I/O developer conference this week, the Internet search giant announced new technology that will depend "less and less" on screen gadgets to provide information and services to users. A company executive explained that Google aspires for these steps to attract the human attention its revenues rely on, and strategize to make profits later on. Google Home will reside in living rooms, extract voice queries, and provide verbal responses from virtually-designed "Google assistant."
Your computer must have Flash Player capability to view the Experiment. Most PC computers will have this ability. Smart Phone users will have to find an appropriate Flash Player App. The Photon Browser App is usually a good free choice. Please be patient with this Live Screen Stream. If you are not getting Experiment results at the moment please try again another time. If the White Ball is stationary in the center of the screen it means that the software has been restarted and is calibrating.
We know of a few types of word analogies, like "France capital Paris" and "US currency dollar", but has anyone tried to search for all the possible analogies that can be deducted by word2vec? They would have to find modifiers that have multiple matches, like "word1 modifier word2". An algorithm could be to cluster all the difference vectors (word1-word2, for all words) and select words that are close to the centers of dense clusters. Even if we don't find all modifiers, we can infer more by combining with ontologies/word net. If we find all the types of analogy we could make a large test dataset to benchmark how capable are the various word embeddings of representing analogy.
At Google I/O this week, the company has shown off tons of new stuff. So much of what Google has shown off at I/O has been interesting. And even if some of that stuff seems to be a response to other companies and products, you can't say that stuff like Google Home and Google Assistant look compelling. SEE ALSO: Google just revealed its strategy to rule the post-search world. Historically, Google I/O has been a very Android-heavy show, with its mobile operating system dominating the keynote and subsequent developers sessions.