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Showing posts from June, 2018

Australia launches robotics roadmap for automation adoption | ZDNet


https://www.zdnet.com/article/australia-launches-robotics-roadmap-for-automation-adoption/

Facebook’s new AI research is a real eye-opener https://tcrn.ch/2LSINVB

Originally shared by TechCrunch

Facebook’s new AI research is a real eye-opener https://tcrn.ch/2LSINVB
https://tcrn.ch/2LSINVB

The Future of Consumer Robots #tech #technology #news #future #robotics

Originally shared by The Futurist

The Future of Consumer Robots #tech #technology #news #future #robotics

http://www.thefuturist.co/the-future-of-consumer-robots/

Neurons that Rewire Traumatic Memories

Originally shared by Neuroscience News

Neurons that Rewire Traumatic Memories

Memories of traumatic experiences can lead to mental health issues such as post-traumatic stress disorder (PTSD), which can destroy a person’s life. It is currently estimated that almost a third of all people will suffer from fear- or stress-related disorders at one point in their lives.

The research is in Science. (full access paywall)
https://neurosciencenews.com/traumatic-memory-neurons-9359/

Machines learn language better by using a deep understanding of words

Originally shared by Ward Plunet

Machines learn language better by using a deep understanding of words

Computer systems are getting quite good at understanding what people say, but they also have some major weak spots. Among them is the fact that they have trouble with words that have multiple or complex meanings. A new system called ELMo adds this critical context to words, producing better understanding across the board. To illustrate the problem, think of the word “queen.” When you and I are talking and I say that word, you know from context whether I’m talking about Queen Elizabeth, or the chess piece, or the matriarch of a hive, or RuPaul’s Drag Race. This ability of words to have multiple meanings is called polysemy. And really, it’s the rule rather than the exception. Which meaning it is can usually be reliably determined by the phrasing — “God save the queen!” versus “I saved my queen!” — and of course all this informs the topic, the structure of the sentence, whether you’re expected to respond, and so on.
https://techcrunch.com/2018/06/15/machines-learn-language-better-by-using-a-deep-understanding-of-words/