Andrew Ng: Why AI Is the New Electricity

What’s slowing down #AI adoption? 

Two problems: scarcity of data and talent. —@AndrewYNg

  • Still, computer scientist and Coursera co-founder Andrew Ng says, fears that AI will replace humans are misplaced: “Despite all the hype and excitement about AI, it’s still extremely limited today relative to what human intelligence is.”
  • “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,” Ng says.
  • “I would say the most scarce resource today is actually talent, because AI needs to be customized for your business context,” Ng says.
  • “Worrying about evil AI killer robots today is a little bit like worrying about overpopulation on the planet Mars.”
  • Evil AI hype, he says, is being used to whitewash a much more serious issue, which is job displacement.

A computer scientist discusses artificial intelligence’s promise, hype, and biggest obstacles.
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NVIDIA Scores Yet Another GPU Cloud For AI With Tencent

Excited to announce that Tencent Cloud has adopted NVIDIA #Pascal for #AI cloud computing.

  • And today, NVIDIA added TenCent to their list of cloud service providers that offer access to NVIDIA hardware in their clouds for AI and other compute intensive applications.
  • The exception is the world’s largest datacenters, aka the “Super Seven” (Alibaba, Amazon, Baidu, Google, Facebook, Microsoft, and Tencent) whose server farms probably crunch proprietary machine learning algorithms with thousands, or even tens of thousands, of speedy GPUs, 100% of which bear the bright green NVIDIA logo.
  • With this announcement, NVIDIA is now able to claim that every significant cloud service provider is a customer and supplier of GPUs as a service, including Amazon, Google, IBM Softlayer, Microsoft, Allyun (Alibaba Cloud), and Nimbix.
  • They built custom servers that support up to 8 high-end NVIDIA Tesla P100 (Pascal) GPUs interconnected with NVLINK, the first major cloud provider to do so.
  • The virtuous cycle of innovation in Artificial Intelligence will be built in the cloud, and not just in the USA, but especially in Asia, where Tencent-hosted NVIDIA GPUs stand to help accelerate that cycle globally, adding even more momentum to the AI flywheel.

NVIDIA has announced that Tencent, the Chinese Internet giant, will offer its latest GPUs to its customers who want to build Machine Intelligence applications. This move completes NVIDIA’s clean sweep of every major cloud provider offering its GPUs to accelerate Machine Learning training/inference.
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How Atomic AI Measures The Emotion In Your Content

How Atomic #AI Measures The Emotion In Your #Content - by @suhash_talwar @atomic_reach

  • Why Writing With Emotion is Important
    Emotional language can greatly impact how engaged a reader is with your content.
  • The emotional factor was looked at on a per article basis – using “hot” and “cold” as the indicator for the overall emotional intensity of a piece of content.
  • Soon after, we updated the feature to flag specific words as hot (emotional) or cold (not emotional) so that users had a better idea of what words were contributing to the level of emotion within a piece of content.
  • We noticed that our users would look at the emotional intensity of a piece of content, then haphazardly try and replace words.
  • After various iterations, the team was finally able to settle on a solid model for measuring emotion and was able to bake in the ability to provide recommendations to either increase or decrease the emotional intensity of the word.

If there is a single feature in our platform that has generated the most interest (but also the most confusion), it is our Emotion measure.
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Baidu’s AI Chief Andrew Ng Resigns: He’s Coy About What’s Next

Baidu's #AI Chief, Andrew Ng, Resigns; He's Coy About What's Next

  • Andrew Ng, one of the world’s leading artificial intelligence researchers, said in a Medium post that he is resigning as the head of AI initiatives at Baidu Corp., one of China’s largest Internet companies.
  • Ng said he said he will “continue to shepherd” the growth of AI in society, but provided few clues about what might come next.
  • He portrayed his departure from Baidu as amicable, saying: “the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish.”
  • The full text of Ng’s post can be found here.
  • Ng has held a multitude of high-profile positions in Silicon Valley in the past decade, serving as a computer science professor at Stanford University, as head of the Google Brain project, and as chairman of Coursera, an online-education company that he co-founded with Stanford faculty colleague Daphne Koller.

Andrew Ng, a leading artificial intelligence researcher, said he has resigned as head of AI initiatives for Baidu, one of China’s largest Internet companies. Ng portrayed the departure as amicable but provided few clues about what comes next.
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China Is Losing to the U.S. in High-Stakes Battle for Artificial Intelligence Talent

#Baidu’s loss of its chief scientist is a setback for #AI in #China  MT @tprstly via @WSJ

  • Artificial intelligence may be tech’s hottest sector, and Chinese internet giants and startups alike have been engaged in fierce competition to poach top talent from Google, Facebook, Microsoft and elite universities around the world.
  • Few of these hires had the status of Andrew Ng, whom Baidu Inc. recruited in 2014 as its chief scientist to oversee AI research.
  • One of the top brains in the field, Mr. Ng formerly led Google’s…

As ambitious as they are, China’s tech firms are behind the likes of Google, Facebook and Microsoft when it comes to artificial intelligence. With the resignation of Baidu chief scientist Andrew Ng, their ability to retain top foreign talent is in question.
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Know Firmographics? The Best B2B Experts Do!

Here's How To Put Your Entire #Sales Process On Auto-Pilot Using The Power Of #AI >>>>>>>

  • “Targeted Account-Based Marketing(ABM) practices are increasingly being used to identify key businesses and decision-makers…Yet, more than 75% of the sources we processed lacked data on Industry, Revenue and Employees.”
  • When it comes to market segmentation, B2B salespeople and marketers are challenged quite differently to B2C professionals:

    “75% of B2B marketers said that accurate and complete

    data is critical for achieving their marketing goals.”

  • Here are the main top-level categories of firmographic data for targeted sales and marketing efforts:

    This is the juicy part you’ve been waiting for!

  • As mentioned, firmographic data can take a long time to research and gather…while quickly becoming outdated.
  • The benefits above can be categorised into three overarching and compelling reasons to use firmographics for market segmentation ASAP:

    Competitive Advantages: Your business gains the upper-hand by offering specific and personalised solutions, enabling it to be highly accurate and respond faster by reacting to opportunities (as and when they arise).

In a data-driven era, success in business is largely the result of thorough market research — research conducted to know 1) why you’re selling your product or service and 2) who you’re directing your product or service towards.
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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.
Edited by Abdelhamid Mellouk and Abdennacer Chebira
Machine Learning can be defined in various ways…
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