Apple Machine Learning Journal

  • However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly.
  • An alternative to labelling huge amounts of data is to use synthetic images from a simulator.
  • This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images.
  • We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
  • Read the article View the article “Improving the Realism of Synthetic Images”

Most successful examples of neural nets today are trained with supervision. However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly. An alternative to labelling huge amounts of data is to use synthetic images from a simulator. This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images. To help close this performance gap, we’ve developed a method for refining synthetic images to make them look more realistic. We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
Continue reading “Apple Machine Learning Journal”

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.
Continue reading “What is Artificial Intelligence?”

Framework: The role of Humans in the Future of Work

Framework: The role of Humans in the Future of Work | #Analytics #Artificialintelligence #RT

  • For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
  • To help define and clarify these capabilities I created a landscape on the role of Humans in the Future of Work, which I first shared publicly in my keynote yesterday.
  • This framework overlaps and builds on my Future of Work Framework, specifically building out the distinctive human capabilities that will be relevant and valued as the work landscape is transformed.
  • I have spoken and written before about the three fundamental human capabilities for the future of work: EXPERTISE, RELATIONSHIPS and CREATIVITY.
  • Recognizing these distinctive human capabilities allows us to design work, organizations and education to use and develop these capabilities to best effect.

For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
Continue reading “Framework: The role of Humans in the Future of Work”

First FDA Approval For Clinical Cloud-Based Deep Learning In Healthcare

The first FDA approval for clinical use of cloud-based deep learning has been granted

  • Far and away the best prize that life offers is the chance to work hard at work worth doing.
  • CLOSE
  • More Options
  • Quote of the Day
  • Theodore Roosevelt

The FDA approval of a cloud based machine learning application to be used in a clinical setting to help physicians understand how a heart is functioning signals a major breakthrough. Cutting examination time from up to an hour to just 15 seconds paves the way for more AI algorithms in healthcare.
Continue reading “First FDA Approval For Clinical Cloud-Based Deep Learning In Healthcare”

What Is The Difference Between Artificial Intelligence And Machine Learning?

This is the difference between artificial intelligence and machine learning:

  • Believe in what you do and think hard about what kind of changes you want your work to make.
  • CLOSE
  • More Options
  • Quote of the Day
  • Ceci Bastida

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.
Continue reading “What Is The Difference Between Artificial Intelligence And Machine Learning?”

​Artificial Intelligence deal “biggest yet” for University of Auckland

#ArtificialIntelligence deal “biggest yet” for University of Auckland  #NZ #AI

  • Tags Soul Machines university of auckland
  • Artificial Intelligence deal “biggest ” for University of Auckland
  • Intelligent computers that look, think and react like humans are the latest technology being developed at the University of Auckland to become a commercial venture.
  • Dr Sagar won two academy awards for his work on the Avatar blockbuster, and becomes CEO of Soul Machines.
  • The company is developing a completely new user interface between humans and machines, based on technology created by Dr Mark Sagar and his team at the Auckland Bioengineering Institute (ABI) at the University of Auckland.

Intelligent computers that look, think and react like humans are the latest technology being developed at the University of Auckland.
Continue reading “​Artificial Intelligence deal “biggest yet” for University of Auckland”

Call an Uber, and soon you’ll get a robot

Uber will be a robotics company in the future, CEO says | @darakerr  #DigitalHealth #IoT #AI

  • Last month, Uber launched a small fleet of self-driving cars in Pittsburg.
  • Uber CEO Travis Kalanick talks self-driving cars and Uber’s future at Vanity Fair Summit.
  • Discuss: Call an Uber, and soon you’ll get a robot
  • As head of Uber, Kalanick is leading the world’s highest valued venture-backed company — valued at $68 billion.
  • Uber is one of the world’s largest ride-hailing services but the company’s future holds more, said company CEO Travis Kalanick on Wednesday.

Uber CEO Travis Kalanick talks self-driving cars and Uber’s future at Vanity Fair Summit.
Continue reading “Call an Uber, and soon you’ll get a robot”