How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself.
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The Great A.I. Awakening
Posted in robotics/AI
Category: robotics/AI – Page 2255
Research subjects at the University of Minnesota fitted with a specialized noninvasive EEG brain cap were able to move a robotic arm in three dimensions just by imagining moving their own arms (credit: University of Minnesota College of Science and Engineering)
Researchers at the University of Minnesota have achieved a “major breakthrough” that allows people to control a robotic arm in three dimensions, using only their minds. The research has the potential to help millions of people who are paralyzed or have neurodegenerative diseases.
The open-access study is published online today in Scientific Reports, a Nature research journal.
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Ooops.
SACRAMENTO, Dec. 14 (UPI) — The California Department of Motor Vehicles issued a warning of sorts to rideshare company Uber on Wednesday, apparently for wading too far into the waters of testing self-driving vehicles in San Francisco.
The department issued a statement Wednesday that said it “encourages the responsible exploration of self-driving cars.”
IBM Watson is known for its work in identifying cancer treatments and beating contestants on Jeopardy! But now the computing system has expertise in a new area of research: neuroscience.
Watson discovered five genes linked to ALS, sometimes called Lou Gehrig’s disease, IBM announced on Wednesday. The tech company worked with researchers at the Barrow Neurological Institute in Phoenix, Arizona. The discovery is Watson’s first in any type of neuroscience, and suggests that Watson could make discoveries in research of other neurological diseases.
SEE ALSO: This high-tech E.L.F. is guiding confused shoppers with the help of IBM’s Watson.
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New article on immigration and AI in The Guardian. https://www.theguardian.com/technology/2016/dec/14/donald-tr…automation #future
All of this could be under threat if we are to take some of the comments the Trump campaign made in the run-up to the election at face value. The outspoken candidate claimed that Mark Zuckerberg’s push for specialist H1B visas (the main visa used to hire foreign talent to tech companies) was a threat to jobs for American women and minorities. Meanwhile, Trump’s chief strategist Steve Bannon suggested that Asians have too much power in Silicon Valley.
About a dozen members of Silicon Valley’s elite – including Apple CEO Tim Cook, Alphabet CEO Larry Page, Microsoft CEO Satya Nadella and Facebook COO Sheryl Sandberg – will meet with Trump in New York. The meeting is likely to provide an opportunity for them to highlight their concerns and priorities with the incoming administration.
Trump was critical of Silicon Valley business practices during his campaign – from wanting Apple to stop making phones in China to saying Amazon founder Jeff Bezos bought the Washington Post to exert political power and avoid paying taxes.
“If you look at the history of Silicon Valley, it’s clear that drawing on immigrants has been a big part of the vitality, creativity and success of that entrepreneurial melange,” said Marjory Blumenthal, senior policy analyst at Rand Corporation.
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IEEE’s new standards for ethically aligned AI — it’s a start focuses a lot on building ethics/ Morales into AI and not promote the building of autonomous AI Weapons, etc. However, without government & laws on the books this set of standards are a feel good document at best. When it gets into morals, values, not breaking laws, etc. this is when the standard really must come from social and cultural order/ practices, government, and most importantly laws to ensure the standards have the buy in and impact you need. My suggestion to IEEE, please work with gov, tech, legal sys. on this one.
More than 100 experts in artificial intelligence and ethics are attempting to advance public discussion surrounding the ethical considerations of AI.
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Now that’s an idea; education for systems. I can see the online university advertisements now showing an autonomous car beeping and flashing its lights over the enjoyment of graduating.
What if I told you to tie your shoes, but you had no laces? Or to cook dinner, but you had no pots or pans.
There are certain tools we need to succeed, which we often don’t have access to or are held back by a gatekeeper.
Dozens of AI / Machine Learning startups experience this same problem because they don’t have enough data to properly train their AI algorithm. Startups that aim to eliminate the error involved in judging cancerous tumors. Startups that aim to improve personalized medicine and create a healthier future.
