The Role of Artificial Intelligence in Growing Business

  • While the merits of providing everyone with a minimum income have been debated for many years, the practicality of the government providing it to the people has been non-existent at least until recently.
  • This is because the many services that government provides already, including welfare, healthcare, and the like are taking up so much in terms of money that simply providing every person with a minimum income seems like a simpler solution.
  • What was once limited to science fiction, Artificial Intelligence (AI) has now become a part of the internet in helping businesses grow.
  • For those in the low-income bracket, the future looks bright thanks to the many avenues available to help people make money through Microsoft, Google, Tesla, and other companies dedicated to providing economic access to the power.
  • Big online companies such as Google and Microsoft for example can use their considerable pull to provide the following;

    While the idea of a secure, minimum income has been around for several decades, it may come true thanks to the internet and the ability of large online companies to provide opportunities for millions of people who otherwise would be limited in how they could earn a living.

How Can We Guarantee a Secure Minimum Income for Everyone? How can it be achieved without damaging the fabric of society?Explore the answers in my article.
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Google’s plan to best Amazon rests on one particular piece of software

#Google's plan to best #Amazon rests on one piece of software  #aws #cloud #AI

  • Two years later the tool, which is used in building machine-­learning software, underpins many future ambitions of Google and its parent company, Alphabet.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free, as an open source tactic.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released, or started supporting, their own free software tools to help coders build machine-learning systems.

Google has pinned its cloud computing hopes on a bit of software that helps programmers build artificial intelligence apps called TensorFlow.
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This machine-learning software has transformed Google, and the rest of the world may be next

Google Stakes Its Future on a Piece of Software #ML #AI #tensorflow #Google

  • Early in 2015, artificial-intelligence researchers at Google created an obscure piece of software called ­TensorFlow.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released or started supporting their own free software tools to help coders build machine-learning systems.

Alphabet thinks it can wrest the cloud computing market away from Amazon by helping companies make use of machine learning with a tool called TensorFlow.
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Google releases new TensorFlow Object Detection API

  • Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images.
  • Google is trying to offer the best of simplicity and performance — the models being released today have performed well in benchmarking and have become regularly used in research.
  • The handful of models included in the detection API include heavy duty inception-based convolutional neural networks and streamlined models designed to operate on less sophisticated machines — a MobileNets single shot detector comes optimized to run in real-time on a smartphone.
  • Earlier this week Google announced its MobileNets family of lightweight computer vision models.
  • Google, Facebook and Apple have been pouring resources into these mobile models.

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying..
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Google’s latest platform play is artificial intelligence, and it’s already winning

Google’s latest platform play is artificial intelligence, and it’s already winning

  • It wants to wield influence in the wider AI ecosystem, and to do so has put together an impressive stack of machine learning tools — from software to servers — that mean you can build an AI product from the ground up without ever leaving the Google playpen.
  • The heart of this offering is Google’s machine learning software TensorFlow.
  • They attract talent to Google and help make the company’s in-house software the standard for machine learning.
  • “There are technical differences between [different AI frameworks], but machine learning communities live off community support and forums, and in that regard Google is winning,” he tells The Verge.
  • Yesterday, for example, Google announced that Android now has a staggering two billion monthly active users, and to keep the software’s edge, the company is honing it with machine learning.

Google has always used its annual I/O conference to connect to developers in its sprawling empire. It announces new tools and initiatives, sprinkles in a little hype, and then tells those watching:…
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Accelerating open machine learning research with Cloud TPUs

  • Our goal is to ensure that the most promising researchers in the world have access to enough compute power to imagine, implement, and publish the next wave of ML breakthroughs.
  • We’re setting up a program to accept applications for access to the TensorFlow Research Cloud and will evaluate applications on a rolling basis.
  • The program will be highly selective since demand for ML compute is overwhelming, but we specifically encourage individuals with a wide range of backgrounds, affiliations, and interests to apply.
  • The program will start small and scale up.

Researchers need enormous computational resources to train the machine learning models that have delivered
recent advances in medical imaging, speech recognition, game playing, and many other domains. The TensorFlow
Research Cloud is a cluster of 1,000 Cloud TPUs that provides the machine learning research community with
a total of 180 petaflops of raw compute power — at no charge — to support the next wave of breakthroughs.
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Google’s new machine learning framework is going to put more AI on your phone

Google’s new machine learning framework is going to put more AI on your phone

  • At the moment, artificial intelligence lives in the cloud, but Google — and other big tech companies — want it work directly on your devices, too.
  • At Google I/O today, the search giant announced a new initiative to help its AI make this leap down to earth: a mobile-optimized version of its machine learning framework named TensorFlowLite.
  • The newly announced version, TensorFlowLite, will build on this, helping users slim down their machine learning algorithms to work on-device.
  • The company also announced that an API for making machine learning work better with phone chips would be coming sometime in the future — a clear sign that Google thinks your next phone will have an AI-optimized chip in it.
  • TensorFlowLite should help Google (and the wider AI research community) bring even more interesting functions like this to our most-used and most-important devices.

At the moment, artificial intelligence lives in the cloud, but Google — and other big tech companies — want it work directly on your devices, too. At Google I/O today, the search giant announced a…
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