Hi! We’re Unified Inbox

What's the latest in #IoT and #AI? Subscribe to the UIB weekly newsletter on  đź“°

  • We invented intelligent IoT messaging (14 patent families and counting!)
  • We bring together messaging, AI, and IoT into a single, integrated API to enable people to simply communicate with all of their smart devices.

We focus on internet of things messaging, artificial intelligence, and machine learning. We empower people and things to simply communicate.
Continue reading “Hi! We’re Unified Inbox”

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.
Continue reading “Top Google executive says the company wants to democratise AI and ML to improve day-to-day life”

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”

12 Algorithms Every Data Scientist Should Know

The world of #machinelearning algorithms —@analyticbridge #AI

  • A rather comprehensive list of algorithms can be found here.
  • Many are posted and available for free on Github or developers with over 800 algorithms, though you have to pay a fee to access them.
  • You can find the original article, here.
  • For other articles about algorithms, click here.

A rather comprehensive list of algorithms can be found here. Many are posted and available for free on Github or Stackexchange. Algoritmia provides developers…
Continue reading “12 Algorithms Every Data Scientist Should Know”

AI can now predict whether or not humans will think your photo is awesome

#AI can now predict whether or not humans will think your photo is awesome

  • The Aesthetics tool, still in beta testing, allows users to upload a photo and get an auto-generated list of tags, as well as a percentage rate on the “chance that this image is awesome.”
  • According to developers, the neural network was trained to view an image much in the same way a human photo editor would, looking at factors such as color, sharpness, and subject.
  • As early users report, the system seems to be fairly good at recognizing factors like whether or not the image is sharp and if the composition is interesting, but it is certainly far from a pair of human eyes.
  • While the results of just how “awesome” a photo is may not be accurate for every image, the auto-tagging tool could prove useful, generating a list of keywords from object recognition as well as less concrete terms, like love, happiness, and teamwork.
  • Clicking on a keyword will bring up an Everypixel search for other images with that same tag, or users can copy and paste the list of keywords.

Can a computer judge art? A new neural network program will rank photos by their probability of being awesome.
Continue reading “AI can now predict whether or not humans will think your photo is awesome”

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…
Continue reading “Google’s new machine learning framework is going to put more AI on your phone”

Star Trek IBM’s Watson to Power Bridge Crew VR Interactive Speech Experience

IBM's Watson to Power Bridge Crew #VR Interactive Speech Experience  #ai

  • IBM’s Watson will power in-game voice command for Ubisoft’s upcoming release of Star Trek: Bridge Crew during an experimental Beta period later this summer following the game’s launch on May 30.
  • In-game speech experiences, built with IBM Watson for Star Trek: Bridge Crew will be available this summer in Beta for cross-platform play.
  • The Watson and Star Trek: Bridge Crew partnership will allow players to give direct, interactive speech commands to virtual Starfleet shipmates.
  • “For the first time, Watson will power the technology that makes it possible for gamers and fans of Star Trek to interact with the crew,” said Willie Tejada, Chief Developer Advocate, IBM.
  • For more information visit Star Trek: Bridge Crew and IBM VR Speech Sandbox.

Star Trek News – IBM’s Watson to power Bridge Crew VR interactive speech experience and make code available to all developers. Details at… 
Continue reading “Star Trek IBM’s Watson to Power Bridge Crew VR Interactive Speech Experience”