Get ready for 5G connectivity with your autonomous car

Get ready for #5G connectivity with your autonomous car   MT @UCStrategies #IoT #M2M #AI

  • Autonomous cars are going to need to send and receive mountains of data, and the current 4G wireless networks simply won’t cut it.
  • Super-fast transfer speeds will be required by self-driving cars to enable them to communicate with a wide range of systems such as navigation services, traffic signals as part of connecting to smart city infrastructure, car-to-car communication and even to close-proximity mobile phone users – all in the interest of pilotless vehicle safety.
  • Using 5G wireless networks will enable driverless cars to avoid hitting pedestrians by a direct connection between the car and the person’s handheld device as they approach an intersection.
  • While 5G standards are currently being worked out, expect to see everything up and running by 2020, when Volkswagen has promised to bring its first semi-autonomous electric car to market.
  • That said, electric car company Tesla will have fully-autonomous vehicles ready by 2018, Toyota, General Motors and Volkswagen by 2020, while Ford and BMW claim they will have autonomous cars on the road by 2021.

Autonomous cars are going to need to send and receive mountains of data, and the current 4G wireless networks simply won’t cut it….
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Nanophotonic system allows optical ‘deep learning’

Nanophotonic system allows optical ‘deep learning’

  • “Deep Learning” computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science.
  • In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical formulas for possible new pharmaceuticals.
  • But the computations these systems must carry out are highly complex and demanding, even for the most powerful computers.
  • Now, a team of researchers at MIT and elsewhere has developed a new approach to such computations, using light instead of electricity, which they say could vastly improve the speed and efficiency of certain deep learning computations.
  • Their results appear today in the journal Nature Photonics (“Deep learning with coherent nanophotonic circuits”) in a paper by MIT postdoc Yichen Shen, graduate student Nicholas Harris, professors Marin Soljacic and Dirk Englund, and eight others.

“Deep Learning” computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical formulas for possible new pharmaceuticals.
But the computations these systems must carry out are highly complex and demanding, even for the most powerful computers.
Now, a team of researchers at MIT and elsewhere has developed a new approach to such computations, using light instead of electricity, which they say could vastly improve the speed and efficiency of certain deep learning computations. Their results appear today in the journal Nature Photonics (“Deep learning with coherent nanophotonic circuits”) in a paper by MIT postdoc Yichen Shen, graduate student Nicholas Harris, professors Marin Soljacic and Dirk Englund, and eight others.
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Machine Learning: Report Launch Tickets, Tue, 25 Apr 2017 at 18:00

Major report on #MachineLearning to be launched @royalsociety on 25 April:

 #AI

  • The Royal Society is launching a major policy report on machine learning.
  • A panel of experts will present and discuss the report findings and their implications for the economy and society.
  • Many services that we use every day – from image recognition on social media to recommender systems in online retail – rely on machine learning, the exciting and rapidly-developing field of science that allows computer systems to learn from examples, data, and experience.
  • In addition to these existing services, machine learning promises potentially transformative advances in a range of fields, including healthcare, transport, education, and more.
  • The Royal Society has been carrying out a major project on machine learning, to investigate its potential, and highlight the opportunities and challenges it creates.

Eventbrite – The Royal Society presents Machine Learning: Report Launch – Tuesday, 25 April 2017 at The Royal Society, London, England. Find event and ticket information.
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Free Machine Learning eBooks

Free #MachineLearning eBooks:  #abdsc #BigData #DataScience via @eelrekab

  • Machine learning is one of the fastest growing areas of computer science, with far-reaching applications.
  • The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way.
  • The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.
  • These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds.
  • Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.

Here are three eBooks available for free.
MACHINE LEARNING
Edited by Abdelhamid Mellouk and Abdennacer Chebira
Machine Learning can be defined in various ways…
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Artificial Intelligence is Leading a Revolution in Medicine

Artificial Intelligence is Leading a Revolution in Medicine

  • The company can use these images in its deep learning training program.
  • Posted by Shane Hinshaw in categories: biotech/medical , robotics/AI
  • In early August, IBM announced that it will acquire Merge Healthcare Inc., a company that sells systems that help medical professionals access and store medical images.
  • Merge is valuable to IBM because it owns 30 billion images, including computerized tomography, X-rays, and magnetic-resonance-imaging scans.
  • The move is a critical step in IBM’s plan to put AI to work medically by training its Watson software to identify maladies like heart disease and cancer.

Artificial Intelligence is Leading a Revolution in Medicine
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Goldman Sachs

WATCH: This #CES2017, find out why #AI is the apex technology of the Information Age:

  • Daniela Costa of Goldman Sachs Research explains how new technologies have the potential to make for a more efficient manufacturing sector, yielding over $500 billion in savings.
  • Weâ re going from a world where people give machines rules to a world where people give machines problems and the machines learn how to solve them on their own.
  • The history of artificial intelligence is littered with false starts, but Goldman Sachs Researchâ s Heath Terry says weâ ve reached a turning point that will put the technology within reach across sectors.
  • Having already made the leap from military to consumer use, drones are headed for industries from construction to cinematography to law enforcement.
  • © Copyright 2016 Goldman Sachs, All Rights Reserved

The history of artificial intelligence is littered with false starts, but Goldman Sachs Research’s Heath Terry says we’ve reached a turning point that will put the technology within reach across sectors. He explains how a growing web of interconnected devices, systems and sensors is helping to fuel development and delves into AI’s potential to impact “every industry.” 
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BMW and IBM join forces to develop AI car tech

#BMW and #IBM join forces to develop artificial intelligence car tech. Full story:

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  • BMW is providing IBM with four i8s to be used at prototypes to develop its Watson artificial intelligence system.
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  • BMW has partnered with American technology giant IBM to co-develop artificial intelligence technology that will one day be featured on road cars.
  • The systems will run on IBM’s Bluemix cloud platform, which the company has said will enable Watson technology to heighten a driver’s connection with their car.

BMW is providing IBM with four i8s to be used at prototypes to develop its Watson artificial intelligence system.

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The Top Emerging Technologies To Watch: 2017 To 2021

The Top Emerging Technologies : 2017 To 2021 #CIO #iot #AI #fintech #AR #VR #bigdata

  • Recipients must have client access to read the full report.
  • Systems Of Engagement Technologies Keep Customers Coming Back
  • The report presents Forrester’s top emerging technologies in three groups of five – systems of engagement technologies, systems of insight technologies, and supporting technologies.
  • Invest In Emerging Technologies That Drive Customer Obsession
  • The Top Emerging Technologies To Watch: 2017 To 2021

Recipients must have client access to read the full report. Use Click & Share to grant full access to recipients who are not Forrester clients.
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Forrester’s Top Emerging Technologies To Watch: 2017-2021

Forrester’s Top Emerging #Technologies To Watch: 2017-2021
#AI #VR #IoT #bots #cloud

  • Our list focuses on those technologies that will have the biggest business impact in the next five years.
  • We organize this year’s list into three groups – systems of engagement technologies will help you become customer-led, systems of insight technologies will help you become insights-driven, and supporting technologies will help you become fast and connected.
  • Intelligent agents coupled with AI/cogntive technologies will automate engagement and solve tasks.
  • The technology gives firms visibility into and control of customer and operational realities.
  • Hybrid wireless technology will eventually ereate connected cverything.

Forrester: As a refresh to my 2014 blog and report, here are the next 15 emerging technologies Forrester thinks you need to follow closely. We organize this year’s list into three groups — systems of engagement technologies will help you become customer-led, systems of insight technologies will help you become insights-driven, and supporting technologies will…
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Google used DeepMind AI to cut its power bill

Google used DeepMind #AI to cut its power bill

  • Google used DeepMind AI to cut its power bill
  • Google’s grand experiment in using artificial intelligence to save power is paying off.
  • Comcast’s Rio portal is a good way to keep up with the Olympics
  • It’s not certain just how much energy the smart code is saving, but Google used slightly over 4.4 gigawatt-hours in 2014 alone — even a small dent in that consumption could easily save hundreds of millions of dollars.
  • You may soon see Google and its partners using AI for loads of routine tasks where humans are frequently wasteful.

Read the full article, click here.


@RickKing16: “Google used DeepMind #AI to cut its power bill”


Google’s grand experiment in using artificial intelligence to save power is paying off. The search firm’s Demis Hassabis tells Bloomberg that the DeepMind AI ha…


Google used DeepMind AI to cut its power bill