Six applications Deep Learning is transforming rapidly

Within the artificial intelligence era, deep learning welcomes a lot of capabilities that will affect your life in the near future.

And the surprising fact is that they are already making an impact.

 According to the recent study, “Most companies with AI implementations are planning to incorporate deep learning into their workplaces within the next 24 months”.

What could be the reason?

Well, the reason is nothing but the use of deep learning in some of the popular applications, making it an ideal solution.

Let’s about them in detail!!

1. Healthcare

Looking to diagnose skin or lung cancer? If so, then AI would help you out! AI application, especially Deep Learning, is tremendously reshaping life sciences, medicine, and healthcare as an industry. Innovations in DL are advancing the future of medicine and population health management in unbelievable ways and likely tom improve by 2022.

According to experts, “Tools like quantitative imaging, computer-aided detection, and computer-aided diagnosis would likely to play a major role”.

2. Advertising

It is another key area that has been transformed by deep learning. It is being widely used by both publishers and advertisers to increase the reach of their ads and boost the return on investment.

Deep learning, for instance, would allow ad networks and publishers to leverage their content to create data-driven predictive advertising, targeted display advertising, and real-time bidding (RTB) for their ads, and many more.

3. Image recognition

Another popular area that deep learning is transforming is nothing but image recognition. This would help to identify people and objects in images. For those who don’t know, image recognition is already being used in existing verticals like tourism, retail, social media, and gaming. And with DL becoming more and more advanced, it could likely to impact other verticals, as well.

A more advanced or complex, must say, variation of this task called object detection involves identifying one or more objects by drawing a box around them.

4. Voice Search

With corporate giants and MNCs have already made significant investments in this area, voice-activated assistants now can be found almost on all smart devices. Apple’s Siri, for instance, has been on the market for the past nine years. And just after a year, Google also launched their voice-activated assistant for Android.

5. Adding Sounds

A deep learning model, in this application, associates the video frames with a database of pre-rerecorded sounds to select a sound to play that matches best with the actions in the scene.  And then it allows humans to determine which video had the real or fake sounds.

6. Automatic Colorization

Deep learning uses the objects and their context within the photograph to color the image much like humans but with no possible errors. This would help you leverage the high-quality image colorization that perfectly caters to your needs.

Final Thoughts

Deep learning is now driving rapid innovations in AI and influencing these applications significantly. If you want to more about deep learning, visit http://www.altafuturis.com/ and explore a range of applications that the solution is transforming.

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