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Carlos Eduardo
Works at UFSC
Attends Universidade Federal de Santa Catarina
Lives in Florianópolis - Santa Catarina, República Federativa do Brasil
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Carlos Eduardo

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Você sabe o que o Facebook consegue descobrir sobre você a partir de suas fotos? http://codft.me/55S
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O Facebook pode saber mais sobre nossas vidas além daquilo que a gente já imagina: na verdade, a red...
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Carlos Eduardo

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Even through death, loyal couples will always be with each other. Through this, I think I can see people are loyal to me will stay in my heart forever. Love can be eternal, or it can last even for 1 second. True love will be always with you, but sometimes, you just gotta wait. 😊
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Learning, Teaching, Intelligence, and Consciousness not just for Humans any more.

https://www.sciencedaily.com/releases/2016/12/161221090246.htm
It isn't an animal, a plant, or a fungus. The slime mold (Physarum polycephalum) is a strange, creeping, bloblike organism made up of one giant cell. Though it has no brain, it can learn from experience, as biologists have demonstrated. Now the same team of scientists has gone a step further, proving that a slime mold can transmit what it has learned to a fellow slime mold when the two combine.
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Learning is becoming more and more personalized!!! Are we ready for that? Well, we should be!!!
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Tradução de voz em tempo real do Skype já pode ser utilizada em ligações para telefones comuns e móveis: http://codft.me/541
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A Microsoft anunciou nessa segunda-feira que a tradução em tempo real do Skype a partir de agora tam...
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There is little doubt that Machine Learning (ML) and Artificial Intelligence (AI) are transformative technologies in most areas of our lives. While the two concepts are often used interchangeably there are important ways in which they are different. Let’s explore the key differences between them.
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AMD uses Neural Net Prediction for 2+3 level cache

Around ⅓ of AMD's amazing performance boost against Intel processors comes from implementing self learning NN into the CPU.
At AMD's New Horizon event we caught a sneak peek at the upcoming Zen CPU, and we found out its new name: Ryzen. During the event AMD CEO Dr. Lisa Su proudly announced some of the upcoming chip's impressive specs.
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2016: The Year That Deep Learning Took Over the Internet

...the widespread impact of deep learning over past year. In 2016, this very old but newly powerful technology helped a Google machine beat one of the world’s top players at the ancient game of Go—a feat that didn’t seem possible just a few months before. But that was merely the most conspicuous example. As the year comes to a close, deep learning isn’t a party trick. It’s not niche research. It’s remaking companies like Google, Facebook, Microsoft, and Amazon from the inside out, and it’s rapidly spreading to the rest of the world, thanks in large part to the open source software and cloud computing services offered by these giants of the internet.
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Researchers use machine learning to pull interest signals from readers’ brain waves

Researchers in Finland have their eye on this problem and have completed an interesting study that used EEG (electroencephalogram) sensors to monitor the brain signals of people reading the text of Wikipedia articles, combining that with machine learning models trained to interpret the EEG data and identify which concepts readers found interesting. Using this technique the team was able to generate a list of keywords their test readers mentally flagged as informative as they read — which could then, for example, be used to predict other relevant Wikipedia articles to that person. Or, down the line, help filter a social media feed, or flag content that’s of real-time interest to a user of augmented reality, for example. “We’ve been exploring this idea of involving human signals in the search process,” says researcher Tuukka Ruotsalo. “And now we wanted to take the extreme signal — can we try to read the interest or intentions of the users directly from the brain?” The team, from the Helsinki Institute for Information Technology (HIIT), reckon it’s the first time researchers have been able to demonstrate the ability to recommend new information based on directly extracting relevance from brain signals. “There’s a whole bunch of research about brain-computer interfacing but typically… the major area they work on is making explicit commands to computers,” continues Ruotsalo. “So that means that, for example, you want to control the lights of the room and you’re making an explicit pattern, you’re trying explicitly to do something and then the computer tries to read it from the brain.”
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No industry is immune from a cyberattack. In fact, cyber experts are predicting that we may see a rise in attacks and a spread as industries previously on the fringe now face direct hits. The question is, “What’s in store for us in 2017?” Check out predictions from leading experts: http://ibm.co/2hmHnnN
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  • Universidade Federal de Santa Catarina
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  • UFSC
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Florianópolis - Santa Catarina, República Federativa do Brasil
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