Top Google executive says the company wants to democratise AI and ML to improve day-to-day life

Our aim is to make #ML and #AI accessible to everyone. @drfeifei shares how:

  • As Artificial Intelligence (AI) and Machine Learning (ML) get set to take a giant leap in improving day-to-day life, the key is to democratise these new-age tools for all and benefit the communities of developers, users and enterprise customers, a top Google executive said in Gurugram on Wednesday.
  • Google, a pioneer in AI, has been focusing on four key components – computing, algorithms, data and expertise — to organise all the data and make it accessible.
  • Google as a company has always been at the forefront of computing AI,” Fei-Fei Li, Chief Scientist of Google Cloud AI and ML, told reporters during a media interaction in Gurugram.
  • Earlier this year, Google announced the second-generation Tensor Processing Units (TPUs) (now called the Cloud TPU) at the annual Google I/O event in the US.
  • “We announced the Cloud TPU — the second-generation of our processing unit and our intention is to make it available via Google Cloud,” the top executive added.

As Artificial Intelligence (AI) and Machine Learning (ML) get set to take a giant leap in improving day-to-day life, the key is to democratise these new-age tools for all and benefit the communities of developers, users and enterprise customers, a top Google executive said in Gurugram on Wednesday. The concept of AI and ML came into existence long back but with the vast availability of data today, sectors like healthcare, banking and retail are adopting the technologies at a faster pace than before.
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We want to democratise artificial intelligence: Google

  • As Artificial Intelligence (AI) and Machine Learning (ML) get set to take a giant leap in improving day-to-day life, the key is to democratise these new-age tools for all and benefit the communities of developers, users and enterprise customers, a top Google executive said here on Wednesday.
  • Google, a pioneer in AI, has been focusing on four key components – computing, algorithms, data and expertise — to organise all the data and make it accessible.
  • Google as a company has always been at the forefront of computing AI,” Fei-Fei Li, Chief Scientist of Google Cloud AI and ML, told reporters during a media interaction here.
  • Earlier this year, Google announced the second-generation Tensor Processing Units (TPUs) (now called the Cloud TPU) at the annual Google I/O event in the US.
  • “We announced the Cloud TPU — the second-generation of our processing unit and our intention is to make it available via Google Cloud,” the top executive added.

Google, a pioneer in AI, has been focussing on computing, algorithms, data and expertise, to organise all the data and make it accessible.
Continue reading “We want to democratise artificial intelligence: Google”

Mapping global fishing activity with machine learning

  • Global Fishing Watch combines cloud computing technology with satellite data to provide the world’s first global view of commercial fishing activities.
  • Today, Global Fishing Watch is an early preview of what is possible.
  • Indonesia’s Minister of Fisheries and Marine Affairs, Susi Pudjiastuti, has committed to making the government’s Vessel Monitoring System (VMS) public in Global Fishing Watch in 2017.
  • Global Fishing Watch was not possible five years ago.
  • Bali Seafood, the largest exporter of snapper from Indonesia, has teamed up with Pelagic Data Systems, manufacturers of cellular and solar powered tracking devices to bring the same transparency for small scale and artisanal fishing vessels, into Global Fishing Watch as part of a pilot program.

Global Fishing Watch is a free, simple, online platform that gives anyone, anywhere, a way to to visualize, track, and share information about fishing activity worldwide.
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