What is Artificial Intelligence?

What is Artificial Intelligence? 
  [via @Accenture]
#AI #ML #DL #NLP #Robots
@ipfconline1

  • In this series, I will try to provide an overview of what constitutes AI, how it is already being applied to banking, insurance and capital markets today, and how organizations can craft a value-driven AI strategy.
  • We view AI as a collection of multiple technologies that enable machines to sense, comprehend and act—and learn—either on their own or to augment human activities.
  • And unlike conventional capital, thanks to its self-learning capabilities, AI can actually improve over time.
  • Today’s definition of AI refers to multiple technologies that can be combined in different ways to:

    All three capabilities are underpinned by the ability to learn from experience and adapt over time.

  • To learn more, take a look at Accenture’s Top 5 Technology Trends 2017, and at how we envision AI to change the Future of Business.

The pace of change in digital technology is accelerating exponentially, particularly in the field of artificial intelligence (AI). All major technology companies are reorganizing around this red-hot sector, and it dominated discussions and presentations at the recent World Economic Forum 2017 in Davos. In this series, I will try to provide an overview of what constitutes AI, how it is already being applied to banking, insurance and capital markets today, and how organizations can craft a value-driven AI strategy.
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Experts Predict When Artificial Intelligence Will Exceed Human Performance

  • They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.
  • And many of the answers are something of a experts that Grace and co coopted were academics and industry experts who gave papers at the International Conference on Machine Learning in July 2015 and the Neural Information Processing Systems conference in December 2015.
  • These are two of the most important events for experts in artificial intelligence, so it’s a good bet that many of the world’s experts were on this list.Grace and co asked them all—1,634 of them—to fill in a survey about when artificial intelligence would be better and cheaper than humans at a variety of tasks.
  • Grave and co then calculated their median responsesThe experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).
  • It’s easy to think that this gives the lie to these predictions.The experts go on to predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years.That’s the kind of prediction that needs to be taken with a pinch of salt.

Trucking will be computerized long before surgery, computer scientists say.
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Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before

Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before

  • As well as beating us at board games, driving cars, and spotting cancer, artificial intelligence is now generating brand new sounds that have never been heard before, thanks to some advanced maths combined with samples from real instruments.
  • Before long, you might hear some of these fresh sounds pumping out of your radio, as the researchers responsible say they’re hoping to give musicians an almost limitless new range of computer-generated instruments to work with.
  • The new system is called NSynth, and it’s been developed by an engineering team called Google Magenta, a small part of Google’s larger push into artificial intelligence.

As well as beating us at board games, driving cars, and spotting cancer, artificial intelligence is now generating brand new sounds that have never been heard before, thanks to some advanced maths combined with samples from real instruments.
Before long, you might hear some of these fresh sounds pumping out of your radio, as the researchers responsible say they’re hoping to give musicians an almost limitless new range of computer-generated instruments to work with.
The new system is called NSynth, and it’s been developed by an engineering team called Google Magenta, a small part of Google’s larger push into artificial intelligence.
Continue reading “Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before”

Google Talks About the Machine Learning Technology Behind Gboard

Google talks about the machine learning tech behind Gboard

  • Google Talks About the Machine Learning Technology Behind Gboard
    Google has been heavily investing in machine learning and neural network technology for a few years now.
  • Once it was good enough to be announced, we started seeing Google apply various machine learning techniques to many of their applications and services.
  • So as Google’s machine learning technology gets better, we will continue to see them figure out ways to implement it into their products.
  • In a new post over on the Google Research Blog, Google spoke about how they’re using machine learning to improve the user experience of people using Gboard.
  • With Neural Spatial Models, Google is able to address the ‘fat finger’ issue that some people experience when typing on a smartphone keyboard.

Google has been heavily investing in machine learning and neural network technology for a few years now. Once it was good enough to be announced, we started seeing Google apply various machine learning techniques to many of their applications and services.
Continue reading “Google Talks About the Machine Learning Technology Behind Gboard”

Introducing a Smarter Way to Message and Build Meaningful Relationships on LinkedIn

The #nextbigthing on #LinkedIn? #ArtificialIntelligence - ! 🤖 #ai #SoSoShow

  • It’s not surprising as conversations are at the heart of unlocking opportunities such as a new job, business lead or career advice.
  • That’s why we’re rolling out an even smarter messaging experience with the ability to message a connection from wherever you may be on LinkedIn, along with suggestions that can help connect you to a new job.
  • For example, you can have a conversation with a connection without ever leaving their profile, or reach out to someone directly from the LinkedIn Feed.
  • In fact, nearly 50% of LinkedIn members have found a job through a mutual connection.
  • For example, when looking at a job posting at a company you’re interested in we’ll show you which of your connections work there, or who can introduce you to someone at the company.

Did you know that 80% of LinkedIn members consider professional networking to be important to career success? It’s not surprising as conversations are at the heart of unlocking opportunities such as a new job, business lead or career advice.
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Beware the unintended consequences of a robot revolution

Beware the unintended consequences of a robot revolution  #robotics #AI

  • Ask an economist or a technology expert and they will happily tell you that decades of data reliably show automation has created more jobs than it has destroyed.
  • The problem with this rose-tinted view of automation, however, is its focus on big averages that take little account of individuals’ experiences.
  • As tempting as it may be to pour money into boosting automation in return for the long-awaited boost to productivity and headline economic growth, doing so without having a clear plan for retraining displaced workers would cause untold harm to millions of individuals.
  • As the Institute for Public Policy Research points out , some workers are far more vulnerable than others to automation.
  • If the government fails to act, the result could all too easily be a spike in unemployment and poverty in places with the lowest skilled workers – a very high price to pay for a bit of average productivity growth.

Investment in education and retraining is needed to equip people to adapt as automation shakes up their workplaces
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