ajit jaokar
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  • london
  • United Kingdom
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Profile Information

Short Bio:
My research is focused on Data Science for IoT. I teach same at Oxford Uni and UPM in Madrid (@forumoxford + @citysciences). Also launching a course / certification Data Sciences for IoT for industry. Personal research interests - Deep learning algorithms for IoT/future city domains
Job Title:
IoT, Telecoms, Smart Cities
LinkedIn Profile:
Finding a new position, Networking, New venture, Other

Ajit jaokar's Blog

An overview of Augmented reality applications and their future impact on AI

Posted on April 11, 2021 at 11:38am 0 Comments

Augmented reality (AR) is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information. AR can be defined as a system that fulfills three basic features: a combination of real and virtual worlds, real-time interaction, and accurate 3D…


Introduction to Probabilistic programming

Posted on April 4, 2021 at 1:00pm 0 Comments

Last week, I saw a nice presentation on Probabilistic Programming from a student in Iran (link below).  

I am interested in this subject for my teaching at the #universityofoxford. In this post, I provide a brief introduction to Probabilistic programming. Probabilistic programming is a programming paradigm designed to implement and solve…


A simple way for getting started with fast.ai for pytorch

Posted on March 28, 2021 at 9:51am 0 Comments

At my AI course in the University of Oxford, we are exploring the use of PyTorch for the first time.

One of the best libraries to get started with PyTorch is fast.ai.

There are various ways to learn fast.ai.

For most people, the fast.ai course is their first exposure.

There is now a book…


Virtualized network functions: The cloudification of telecoms leading to a new class of applications

Posted on March 21, 2021 at 11:30am 0 Comments

The Cloudification of the Telecoms market

Last week, Nokia announced 10,000 jobs lost worldwide. Telecoms is a cyclical business with the G cycles (roughly spanning seven years) ex 3G, 4G etc – driving the ups and downs in employment. However, there is more at stake here because the Telecoms industry is fundamentally changing.



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