DailyTech

Scientists Aim to stop AI from Taking over the World -  #ArtificialIntelligence #AI

  • Scientist Are Making Rules to Abjure AI from Taking over the World

    With AI technology advancing progressively at a flashing pace, a group of United Kingdom scientist are calling for more transparency, and accountably in Artificial Intelligence prior to it becoming too late.

  • One of the suggestions that was placed by the researchers is the idea of having a set of guidelines that address robotics, artificial intelligence, and decision-making algorithms as a group.
  • Additionally, the researchers also recognize that adding in more transparency into Artificial Intelligence systems can adversely affect the AI’s performance.
  • This is not the first time these researchers have castigated current artificial intelligence rules.
  • In January of this year, in response to   the General Data Protection Regulation that was constructed by The European Union, the researchers called for an artificial intelligence watch dog.

Scientist Are Making Rules to Abjure AI from Taking over the World
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This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium

Creating software that learns how to learn — This Week in #machinelearning:  #ai

  • Machine Learning is one of the most exciting fields in the world.
  • The week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
  • That’s why we created This Week in Machine Learning!
  • Never miss a story from Udacity Inc , when you sign up for Medium.
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents! Machine Learning is one of the most exciting fields in the…
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CrowdChat: Deep learning and Apache Spark

Join @JamesKobielus Wednesday to chat about #SparkDeepLearning:

  • Join our CrowdChat about deep learning and Apache Spark to find out what’s going on in the world of Spark-and what’s coming up.
  • The CrowdChat, hosted by @IBMBigData , will bring together subject matter experts who will focus on the latest tech and trends in deep learning as well as their overlap with Apache Spark.
  • A CrowdChat simply organizes tweets into streams of conversation.
  • You’ll even be able to vote for your favorite comments so that they can be featured more prominently in the conversation.
  • If the event will be your first experience with CrowdChat, don’t worry.

In this CrowdChat, join 11 experts from inside and outside IBM as you take part in a group exploration of the issues and possibilities that arise at the conjunction of Apache Spark and deep learning.
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This Week in Machine Learning, 30 September 2016 – Udacity Inc – Medium

This Week in #MachineLearning, 30 September 2016. #BigData #DataScience #AI

  • Machine Learning is one of the most exciting fields in the world.
  • That’s why we created This Week in Machine Learning!
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
  • Google opens up its Cloud Machine Learning platform to an open public beta , along with their Machine Learning Advanced Solutions Lab to give access to Google engineers.
  • Mountain View-based cybersecurity company Shape Security secures $40 million in Series D funding to use machine learning to address real-time threats.

This week’s top Machine Learning stories, featuring a 40% increase in US productivity by 2035 thanks to artificial intelligence!
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Silicon Valley Bank survey finds big data, AI will have greatest impact on healthcare industry

Survey finds #bigdata, #AI will have greatest impact on #healthcare industry

  • Silicon Valley Bank survey finds big data, AI will have greatest impact on healthcare industry
  • Artificial intelligence and big data are shaping up to have the biggest impact on the healthcare industry, and most of that money will be coming from venture capital funds, according to a new survey of digital health executives and investors.
  • Almost half of respondents say big data, followed by artificial intelligence (35 percent) are the most promising technologies in terms of impact on investment.
  • Silicon Valley Bank surveyed 122 founders, executives and investors in health technology, asking about the biggest opportunities and threats for the industry in the next year.
  • Venture capital will offer the most funding, nearly 62 percent of survey respondents said, with the next closest expected to be corporate ventures.

Artificial intelligence and big data are shaping up to have the biggest impact on the healthcare industry, and most of that money will be coming from venture capital funds, according to a new survey of digital health executives and investors.
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Will a Conscious, Intelligent AI Emerge in Our Lifetimes?

Will a Conscious, Intelligent #AI Emerge in Our Lifetimes?  #infographic RT @KhalidHamdan0

  • The accompanying graphic gives a visual timeline layout of where each researcher fell in belief to those timeframes, along with an expanded response on why they do or do not believe that AI will achieve consciousness.
  • The majority of responses received (24.24 percent) fell in the 2036-2060 time frame, the next 20 to 40 years; the second highest response rate (18.18 percent) was “no timeframe given”, a safe alternative for researchers who still wanted to respond to the survey but weren’t willing to give a set timeframe.
  • They received over 30 responses that fell across an entire spectrum, from the next five years to never.
  • If you know researchers, you know they don’t like to prognosticate about future outcomes.
  • I am disappointed, because “consciousness” (whatever that is) is unnecessary for ASI (artificial super intelligence).

Read the full article, click here.


@TamaraMcCleary: “Will a Conscious, Intelligent #AI Emerge in Our Lifetimes? #infographic RT @KhalidHamdan0”


How likely is it that artificial intelligence will achieve a human-level intelligence in the next 10 years, 20 years, 100 years, or for that matter ever? If you know researchers, you know they don’t like to prognosticate about future outcomes.

Yet it’s undeniable that humans have a unique talent for envisioning future possibilities and even whole worlds, and doing so helps drive product development, research directions, and ultimately the face of future societies.

Typically, the more you know on a particular subject, the better qualified you are to articulate the “what if’s” and “might be’s” of the future of a particular domain. When it comes to artificial intelligence with a form of consciousness or human-level intelligent awareness (often termed artificial general intelligence (AGI)), TechEmergence decided to go straight to the source. They asked over 30 researchers about when they thought might be a reasonable timeframe to expect an AI of this sort to emerge. They received over 30 responses that fell across an entire spectrum, from the next five years to never.

The majority of responses received (24.24 percent) fell in the 2036-2060 time frame, the next 20 to 40 years; the second highest response rate (18.18 percent) was “no timeframe given”, a safe alternative for researchers who still wanted to respond to the survey but weren’t willing to give a set timeframe. The accompanying graphic gives a visual timeline layout of where each researcher fell in belief to those timeframes, along with an expanded response on why they do or do not believe that AI will achieve consciousness.

[![zoom](https://tctechcrunch2011.files.wordpress.com/2016/02/conscious-machines-2-01.jpg?w=923&h=4115)](https://tctechcrunch2011.files.wordpress.com/2016/02/conscious-machines-2-01.jpg?w=923&h=4115)


Will a Conscious, Intelligent AI Emerge in Our Lifetimes?