Shyam's Slide Share Presentations

VIRTUAL LIBRARY "KNOWLEDGE - KORRIDOR"

This article/post is from a third party website. The views expressed are that of the author. We at Capacity Building & Development may not necessarily subscribe to it completely. The relevance & applicability of the content is limited to certain geographic zones.It is not universal.

TO VIEW MORE CONTENT ON THIS SUBJECT AND OTHER TOPICS, Please visit KNOWLEDGE-KORRIDOR our Virtual Library

Monday, March 2, 2015

How machine learning will fuel huge innovation over the next 5 years 03-02

How machine learning will fuel huge innovation over the next 5 years  




Machine learning is coming into a golden age, and with it we’re seeing an awakening of possibilities formerly reserved for science fiction.

Machine learning (ML) is a computer’s way of learning from examples, and it’s one of the most useful tools we have for the construction of artificial intelligence (AI). It begins with the design of an algorithm that learns from collected data, creating machines that in most cases become smarter as data volumes intensify.

We’ve seen a breakthrough in the field of ML in the last five years in part due to the recent wealth of big data streams provided from high-speed internet, cloud computing, and widespread smartphone usage, leading to the birth of the now popular “deep learning” algorithms. Heavily- used applications that have emerged with ML at their core include recommendation systems like those from Netflix and Amazon, face recognition technology as seen in Facebook, email spam filters like those from Google and Microsoft, and speech recognition systems such as Siri.

While the depth of advancement is unknown, what we can say with high certainty is that development in this field in the past five years will be nothing compared to what we’re going to see in the five years to come. Based on machine learning’s current state, here are four predictions of what we could see in the near future:

Image-Based Recognition: The technology for image and video-based recognition is on the horizon, and with it a whole new experience for users. Thanks to deep learning, we are now at the dawn of computers recognizing images, and the people and actions within them, with high accuracy based on the image alone and with minimum reliance on external data. It’s not just new pictures that will become recognizable either, but the entire history of digitized images and video footage. This will massively change how these assets are located and shared online. For example, YouTube might soon intelligently find content related to parts of a clip you watched and liked based only on the visual content of the video itself. The resulting efficiencies in both our work and personal time will be profound.

Healthcare: Machine learning’s ability to analyze and store massive amounts of data should provide physicians with much-needed second opinions and lead to the detection and treatment of medical ailments on a mass scale. Packaged as smart, wearable computing devices, personal health monitors that detect various conditions as they arise should become widespread in the next five years, in a similar fashion to activity trackers like Fitbit. The advancements here could significantly accelerate our human desire to protect our own longevity and create major breakthroughs for the operations of the medical industry.

Travel & Communication: By 2020, real-time translation technology may be fully accessible. We’ll see everything from an app on your phone that instantly translates foreign signs and texts to phone conversations that are immediately converted to a listener’s native language, without speakers even knowing the difference. As globalization booms, the language lines will soon be crossed. Business, in particular, stands to benefit enormously from the advancement here, with tech giants such as Google and Microsoft already taking the necessary steps to build such tools, making the need for a premium multilingual workforce obsolete.

Advertising: Based on recent ML advancements, in just a few short years augmented reality technology should become the commonplace method for integrated branding. This will allow advertisers to seamlessly place products into existing content by properly identifying the depth, relative size, lighting, and shading of the product in comparison to the setting. This essentially makes any historical video property available for integration. The computer vision technology firm Mirriad has already been heralded (and won an Oscar) for its advancements in the field. Looking at online video, as companies continue to try and tap into hugely popular amateur content, this technology will revolutionize their capabilities.

So while we have already seen enormous advancements in the fields above of late, a full-scale commercialization of machine learning technologies could be seen as soon as 2020. While I’ve only listed a few predictions above, almost all sectors of the economy stand to benefit enormously from the efficiencies of this new era of machine learning. We are already seeing a swell in consumer demand in experiences that require ML at their core, and the examples above only touch the surface of what is possible. If things continue on the trajectory we expect, the golden age of machine learning might very well make the next five years in technology the most exciting yet.

14 comments:

  1. This post is very simple to read and appreciate without leaving any details out. Great work!
    best data science institute in hyderabad

    ReplyDelete
  2. AI Patasala Machine Learning Training in the Hyderabad Program is the best platform for Machine Learning professionals to transform into professionals in their field.
    Online Machine Learning Training in Hyderabad

    ReplyDelete
  3. This is really very nice post you shared, i like the post, thanks for sharing..
    data science training

    ReplyDelete
  4. Very nice article, I enjoyed reading your post, very nice share, I want to twit this to my followers. Thanks!. top cyber security institute in delhi

    ReplyDelete
  5. All things considered I read it yesterday yet I had a few musings about it and today I needed to peruse it again in light of the fact that it is very elegantly composed.

    ReplyDelete
  6. I would like to thank you for the efforts you have made in writing this article. I am hoping the same best work from you in the future as well. In fact your creative writing abilities has inspired me to start my own Blog Engine blog now. Really the blogging is spreading its wings rapidly. Your write up is a fine example of it. business analytics course in kanpur

    ReplyDelete
  7. With so many books and articles coming up to give gateway to make-money-online field and confusing reader even more on the actual way of earning money, data science training in kanpur

    ReplyDelete
  8. I want to leave a little comment to support and wish you the best of luck.we wish you the best of luck in all your blogging enedevors
    data science course delhi

    ReplyDelete
  9. I truly adored visiting your post and this content was very unique. Thanks a lot for sharing this...
    Sole custody Virginia
    Protective Order Virginia

    ReplyDelete
  10. I really like the blog and the information it contains, and I'm looking forward to reading some more enlightening postings. Enroll yourself in digital marketing certification course in bhopal

    ReplyDelete
  11. Great! I read your blog and I find it very useful. Awaiting for your next article. best data science course online in Delhi

    ReplyDelete

  12. Thank you for sharing! I always appreciate engaging with high-quality content that offers valuable insights. The presented ideas are not only excellent but also incredibly innovative, making your post a truly enjoyable read. Keep up the fantastic work.
    visit: Advanced Python Techniques: Unleash the Power of Python

    ReplyDelete