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) …
You may not need to ask teachers how your kid is performing in studies as his or her tweets will be enough to gauge whether he or she will make it big in the future or not, thanks to Artificial Intelligence (AI). A team of Russian researchers has used AI-based models to predict high academic achievers from lower ones based on their social media posts. The prediction model uses a mathematical textual analysis that registers users' vocabulary (its range and the semantic fields from which concepts are taken), characters and symbols, post length and word length. Every word has its own rating (a kind of IQ). Scientific and cultural topics, English words, and words and posts that are longer in length rank highly and serve as indicators of good academic performance.
YouTube is rolling out some updates for its video player page on mobile devices, including streamlined controls, a couple more gestures and suggested actions. The closed captions button and autoplay toggle are now directly on the player. YouTube says it simplified the player's look by rearranging buttons, while the controls should be more responsive. You'll be able to go into full-screen mode by swiping up and exit by swiping down -- that doesn't seem to be the most useful feature as your video changes display mode when you rotate your device anyway. To switch between how long is left in a video and how much time has elapsed, you can simply tap the timestamp.
"To install games right now, they have to go to an app store or client, have to decide they want to download, it takes three to five minutes to download, organize their home screen and have the memory on their phone," Rubin said. "It sounds like these are small problems, but the actual funnel from that ad to the install is quite a large drop off. Not a lot of games get installed based on knowledge. If we can get rid of that funnel drop or at least greatly minimize it, developers will be able to reach more consumers, and consumers will be trying more games."
Facebook launched an independent oversight board and recommitted to privacy reforms this week, but after years of promises made and broken, nobody seems convinced that real change is afoot. The Federal Trade Commission (FTC) is expected to decide shortly whether to sue Facebook, sources told the New York Times, following a $5 billion fine levied last year. In other investigations, the Department of Justice filed suit against Google this week, accusing the Alphabet company of maintaining multiple monopolies through exclusive agreements, collection of personal data, and artificial intelligence. News also broke this week that Google's AI will play a role in creating a virtual border wall. What you see in each instance is a powerful company insisting it can regulate itself while government regulators appear to reach the opposite conclusion.
Toyboyfan continues to create his amazing and realistic remakes of Disney characters. His previous post got lots of love so if you missed it, click here! The project "In Real Life" has been updated with 15 more characters that were created using A.I. and then fixed by Toyboyfan, because the program doesn't do a good job and the first version can look quite weird. The artist explained the process in more detail in the previous post. Toyboyfan shared what changed after his work was shared on Bored Panda: "Being featured on Bored Panda was an amazing experience.
Back when US President Donald Trump (and his challenger Joe Biden) were students, artificial intelligence (AI) had a different connotation. And it is just as well for the White House incumbent in particular, as a new study of the correlation between social media posts and examination scores using AI indicates that content with words and phrases written entirely in capital letters portends lower academic performance. Having trained on 1.9 billion words' worth of content, AI found that the use of all capital letters (–0.08), emojis (–0.06) and exclamation marks (–0.04) corresponded to lower academic performance. While Indians may be intrigued by this conclusion, it is not surprising that the study has shown content with extensive vocabularies, use of terms relating to science and processes, literary flourishes and quotations correspond to better exam scores than those that show a predilection for spelling mistakes and allusions to computer games, horoscopes and military concepts. Of course, Mr Trump would aver that examiners (and AI) are inherently biased and discriminate against those who do not conform to the usual parameters of scholarly expression.
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Deep learning is helping Facebook draw value from a larger portion of its unstructured datasets created by almost 2 billion people updating their statuses 293,000 times per minute. Most of its deep learning technology is built on the Torch framework that focuses on deep learning technologies and neural networks. One of the most useful tools used by Facebook is Deeptext Deep Text uses unsupervised machine learning to understand humans and interpret what they say. Deeptext, which decodes the meaning of the content posted to find the relative meaning. Facebook then helps brands to generate leads with this tool by directing people to advertisers based on the conversations they are having.
This is using a biological-type AI system I developed at Ogma called AOgmaNeo (Arduino-compatible OgmaNeo). It is the latest implementation of SPH (Sparse Predictive Hierarchies) I have done. This isn't the final video, so I posted it on my personal channel. Hopefully a more produced one will be made soon! While it can also run on Arduino (some demos for that soon hopefully), this video is using a Pi 4, which does both training and inference in real-time (60fps) as the robot drives.