Google announces its plan to make artificial intelligence more ‘human’

#google announces its plan to make artificial intelligence more ‘human’

  • As AI technology grows rapidly, Google wants to make sure that it’s accessible and inclusive, developed with people in mind.
  • Called the People + AI Research Initiative or the PAIR, this newly-announced team within the Google Brain division will “study and redesign the ways people interact with AI systems” so that we build systems with “people in mind at the start of the process.”
  • The PAIR will examine the relationship between users and technology, the vast array of applications that AI will facilitate, and how to make everything accessible and broadly inclusive.
  • The PAIR team is led by Google Brain researchers Fernanda Viégas and Martin Wattenberg, and the 12 other team members will work with researchers from Harvard University and MIT to focus on three areas of user needs:

    The PAIR won’t necessarily answer all the concerns out there.

  • Compounded by other intersectional factors, the Fourth Industrial Revolution certainly isn’t going to be an easy process, but with Google’s new initiative, we are definitely taking one step further in the right direction: the hope is that as the PAIR team grows and as its work expands, we will see its impact across Google’s apps and services as well as see similar efforts from other companies.

As AI technology grows rapidly, Google wants to make sure that it’s accessible and inclusive, developed with people in mind. That’s where the PAIR comes in.
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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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Designing networks for IoT sensors can be a learning process

Designing networks for IoT sensors can be a learning process | #MachineLearning #IoT #RT

  • These are just a few examples of the various Internet of Things (IoT) sensors and other connected devices in Boulder, where electrical, solar and HVAC systems are also tied into IP networks.
  • Designing a wireless network to support these applications was a learning process for the city’s IT department, says Benjamin Edelen, a senior system administrator there.
  • Aimee Schumm, e-services manager at the Boulder Public Library, notes that staff members made sure to tuck access points in places where they couldn’t be reached easily — such as inside ceiling tiles or on the ceiling itself — so they won’t be tampered with.
  • Boulder built out its wireless network with more bandwidth than it needs currently, with the expectation that it will expand its use of IoT sensors and similar technologies in the future.
  • Once the IoT sensors were in place, the various city departments generally took ownership of the data, Edelen says.

As the city of Boulder optimized its wireless network to better support IoT sensors, the city’s IT pros found it had a “significant learning curve.”
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Google’s new machine learning API recognizes objects in videos

Google’s new machine learning API recognizes objects in videos

  • At its Cloud Next conference in San Francisco, Google today announced the launch of a new machine learning API for automatically recognizing objects in videos and making them searchable.
  • The new Video Intelligence API will allow developers to build applications that can automatically extract entities from a video.
  • Until now, most similar image recognition APIs available in the cloud only focused on doing this for still images, but with the help of this new API, developers will be able to build applications that let users search and discover information in videos.
  • Besides extracting metadata, the API allows you to tag scene changes in a video.

Google’s new machine learning API recognizes objects in videos
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AI System Can Generate High-Res Images Based On a Text Description

#AI system can generate high-res images based on a basic text description

  • Our StackGAN for the first time generates 256 x 256 images with photo-realistic details.”
  • This piece of work is completely different: after learning the neural networks are able to create something completely new – such as synthesizing new, photorealistic images from a piece of text we have written.
  • Home > Cool Tech > Neural network can create high-res images based on
  • It’s also fascinating because the two-stage method of drawing images looks, to our way of thinking, a whole lot like the way artists will sketch out a piece of work, and then do a second pass to add detail.
  • Neural network can create high-res images based on a text description

In a new piece of research, neural networks have been used to generate high-resolution photos based only on a basic text description.
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Designing networks for IoT sensors can be a learning process

Designing networks for IoT sensors can be a learning process | #MachineLearning #IoT #RT

  • There’s a significant learning curve when designing wireless networks.
  • Read more from the series: IoT networks
  • IoT wireless networks: What’s it really take to run …
  • Smart cities lead the way in IoT
  • Designing networks for IoT sensors can be a learning process

As the city of Boulder optimized its wireless network to better support IoT sensors, the city’s IT pros found it had a “significant learning curve.”
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Overview of Service Fabric

Overview of #Azure Service Fabric Stack. #BigData #MachineLearning #DataScience #AI #IaaS

  • Service Fabric can deploy services in container images.
  • SQL Server Stretch Database Dynamically stretch on-premises SQL Server databases to Azure
  • Service Fabric provides support for the full application lifecycle management of cloud applications.
  • Create an iOS Mobile Backend Add a cloud-based backend service to an iOS app using Azure App Service
  • Visual Studio Application Insights Detect, triage, and diagnose issues in your web apps and services

An overview of Service Fabric, where applications are composed of many microservices to provide scale and resilience. Service Fabric is a distributed systems platform used to build scalable, reliable, and easily managed applications for the cloud.
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Chatbots are revolutionizing customer support

Interesting article on how #ChatBot could revolutionize customer support. #AI #startup

  • Anything reducing the need for manpower in customer support is considered a good thing.
  • Above: Bots will help, not hinder, customer support in a company.
  • Although a chatbot can handle basic requests, some of your customers will want to talk to real people and will require complicated support to answer some of their more difficult questions.
  • Customer support is one the most resource-intensive departments in a company.
  • Chatbots are revolutionizing customer support

Customer support is one the most resource-intensive departments in a company. Staff spend their day answering queries, on the telephone with customers, communicating with other departments, and much more. It is also a part of the operation that is hard to link to an ROI.
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10 Cool Machine Learning Startups To Watch

10 Cool #MachineLearning Startups To Watch



#AI #DeepLearning #DataScience #Python #R #Data

  • Are 10 machine learning startups worth a closer look.
  • 10 Cool Machine Learning Startups To Watch
  • PricewaterhouseCoopers said 29 machine learning companies have been acquired so far this year by companies large and small, and total deals in 2016 will likely exceed the 37 such buyouts made last year.
  • “Ten years ago, we struggled to find 10 machine learning-based business applications.
  • There are companies specializing in machine learning applications for these verticals.

Machine learning is technology that trains software so developers don’t have to code it by hand. The number of new companies in the category has grown exponentially over the past few years. Here are 10 machine learning startups worth a closer look.
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