How Artificial Intelligence and the robotic revolution will change the workplace of tomorrow

How Artificial Intelligence and the robotic revolution will change the workplace of tomorrow

  • The workplace is going to look drastically different ten years from now.
  • So what do we need to learn today about the jobs of tomorrow?
  • The robots and computers of the future will be based on a degree of complexity that will be impossible to teach to the general population in a few short years of compulsory education.
  • And some of the most important skills people will need to work with robots will not be the things they learn in computing class.
  • However, it looks like human workers will not be replaced by automation, but rather workers will work alongside robots.

How Artificial Intelligence and the robotic revolution will change the workplace of tomorrow
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Google set to bring AI to Raspberry Pi computers

  • Eben Upton, founder of the Raspberry Pi Foundation, told the BBC: “It’s fantastic to see Google getting closer to the maker community.”
  • Google has set up its very own survey and is asking makers what smart tools would be the “most helpful”.
  • Google set to bring AI to Raspberry Pi computers
  • Google is on its way to bringing artificial intelligence and machine learning tools to computer Raspberry Pi.
  • “I’m particularly excited about the prospect of connecting Raspberry Pi to some of the machine learning work coming out of Google DeepMind in London, allowing us to build smart devices that interact in the real world.”

Take a look at this interesting tech…
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Google’s AI Learns How To Code Machine Learning Software — Bad News For Programmers?

Google's #AI Learns How To Code #MachineLearning Software

  • Google’s AI Learns How To Code Machine Learning Software
  • The Google Brain artificial intelligence research group has created a new machine learning system that can design machine-learning software.
  • In their experiment, the researchers challenged their software to create machine learning systems.
  • Short Bytes: A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software.
  • The software that came up with these designs used the power of 800 GPUs.

A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software. The software that came up with these designs used the power of 800 GPUs
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The Good, Bad, & Ugly of TensorFlow

The Good, Bad, and Ugly of #TensorFlow. #BigData #DeepLearning #MachineLearning  #AI

  • If you are deploying a model to a cloud environment, you want to know that your model can execute on the hardware available to it, without unpredictable interactions with other code that may access the same hardware.
  • For example, the Udacity tutorials and the RNN tutorial using Penn TreeBank data to build a language model are very illustrative, thanks to their simplicity.
  • For me, holding mental context for a new framework and model I’m building to solve a hard problem is already pretty taxing, so it can be really helpful to inspect a totally different representation of a model; the TensorBoard graph visualization is great for this.
  • But good programmers know it is much harder to write code that humans will use, versus code that a machine can compile and execute.
  • We appreciate their strategy of integrating new features and tests first so early adopters can try things before they are documented.

A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff) from Dan Kuster, one of indico’s deep learning researchers.
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Is India prepared for ‘fourth industrial revolution’?

Is #India prepared for #Industry40?

#AI #Robotics #IoT #fintech

  • The rise of the technologies is being called the fourth industrial revolution, which raises concerns over job security as many people, in the past, have lost their jobs due to introduction of newer technologies.
  • Commenting on the impact of automation, Shaw said that the next ten years should clearly be about making the existing jobs more productive through technology.
  • For example, the people working in airlines and travel agencies have already lost their jobs due to the introduction of different e-commerce sites.
  • The disruptive technologies such as artificial intelligence (AI), robotics, automation and Internet of Things (IoT) have become an integral part of our everyday lives.
  • Though automation makes jobs more productive, it will take over the jobs of millions people.

The rise of these technologies is being called the fourth industrial revolution.
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