Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between #AI, #machinelearning, and #deeplearning ▷

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
Continue reading “Understanding the differences between AI, machine learning, and deep learning”

Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between AI, machine learning, and deep learning

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
Continue reading “Understanding the differences between AI, machine learning, and deep learning”

Why football, not chess, is the true final frontier for robotic artificial intelligence

#Future #Tech: why #football, not chess, is the true final frontier for #robotic #AI ►

  • In recent years, their ability has significantly improved: many labs now boast five or six-a-side humanoid robot teams .
  • So while the robots may seem less capable this year than the year before, it’s because the goalposts are moving.
  • The tasks involved in playing football, although much more intuitive to humans than chess or Go, are a major challenge for robots.
  • The RoboCup tournament held its 20th competition in Leipzig this year .
  • Led by Hiroaki Kitano and Manuela Veloso , the ambitious goal set that year was to have by 2050 a team of humanoid robots able to play a game of football against the world champion team according to FIFA rules, and win.

Read the full article, click here.


@maximaxoo: “#Future #Tech: why #football, not chess, is the true final frontier for #robotic #AI ►”


Computers must master football if they are to demonstrate that they can be our equal.


Why football, not chess, is the true final frontier for robotic artificial intelligence

On the importance of democratizing Artificial Intelligence

On the importance of democratizing #ArtificialIntelligence, from Keras #DeepLearning blog

  • And you, as an early adopter of deep learning, you have a responsibility to make sure that the opportunities that AI will create are open to everyone.
  • The purpose of Keras is to make deep learning accessible to anyone with an idea and with some basic computer science literacy.
  • There is a lot of hype around deep learning right now, and people sometimes have unrealistic short-term expectations.
  • AI will take time to get deployed to its true potential, but when it does, it will have a long-term social and economic impact that most people seem to underestimate.
  • Making deep learning more accessible should be one of our priorities.

Read the full article, click here.


@kdnuggets: “On the importance of democratizing #ArtificialIntelligence, from Keras #DeepLearning blog”


Keras is a Deep Learning library for Python, that is simple, modular, and extensible.


On the importance of democratizing Artificial Intelligence

Why football, not chess, is the true final frontier for robotic artificial intelligence

Why football, not chess, is the true final frontier for robotic artificial intelligence

  • So while the robots may seem less capable this year than the year before, it’s because the goalposts are moving.
  • The RoboCup tournament reached its 20th year in Leipzig this year .
  • The tasks involved in playing football, although much more intuitive to humans than chess or Go, are a major challenge for robots.
  • It is not in the cerebral boardgames of chess or Go, but on the pitch in the physical game of football that the frontline of life with intelligent robots is being carved out.
  • Led by Hiroaki Kitano and Manuela Veloso , the ambitious goal set that year was to have by 2050 a team of humanoid robots able to play a game of football against the world champion team according to FIFA rules, and win.

Read the full article, click here.


@DeepStuff: “Why football, not chess, is the true final frontier for robotic artificial intelligence”


The perception of what artificial intelligence was capable of began to change when chess grand master and world champion Garry Kasparov lost to…


Why football, not chess, is the true final frontier for robotic artificial intelligence

The next Industrial Revolution is coming – and it will be fuelled by AI

The next Industrial #Revolution is coming – and it will be fuelled by #AI

  • The best Star Trek episodes you should be watching on Netflix
  • Hit anime Attack on Titan returns for season two in 2017
  • The reasons why could reveal clues about alien life
  • Watch the official music video of David Brent’s Lady Gypsy
  • Watch a frantic timelapse of the 2,526-piece LEGO Batcave being built

Read the full article, click here.


@BigCloudTeam: “The next Industrial #Revolution is coming – and it will be fuelled by #AI”


Alexander Graubner-Müller, who cofounded Kreditech in 2012, called algorithms the “building blocks for the next Industrial Revolution”


The next Industrial Revolution is coming – and it will be fuelled by AI