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Ajit jaokar's Blog (161)

How can we increase the diversity in AI talent?

How can we increase the diversity in AI talent?

This is a subject close to my heart

Despite being quite well known in AI (for our pioneering work and teaching at the #universityofoxford for #AI and #edge) and also being the Chief AI Officer of a venture funded company in Germany, I would not pass many of…

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Added by ajit jaokar on May 9, 2021 at 12:16pm — No Comments

The early move advantage in AI:  leaders vs laggards vs aspirants

Are you a leader or a laggard or an aspirant in AI?

This is a subject close to my heart because I focus my teaching / research and consulting towards the leader end or AI – where the competitive advantages create exponential gains for companies and people

There is a great article from Mc Kinsey called…

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Added by ajit jaokar on May 2, 2021 at 1:45am — 1 Comment

Mitigating Emerging Cyber Security Threats Using Artificial Intelligence

Last week, I taught a cybersecurity course at the University of Oxford case. I created a case study for my class based on an excellent recent paper: Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defences (link below)    

 

This paper is unique because it discussed emerging cyber security…

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Added by ajit jaokar on April 25, 2021 at 10:00am — No Comments

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

In the last post, I discussed about augmented reality applications and their implications for AI

In this post, I will discuss virtual realty applications

I am very interested in combining AR/ VR with the Digital twin based on my work at the #universityofoxford

Both these ideas (AR+VR and also the Digital Twin) add a…

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Added by ajit jaokar on April 18, 2021 at 10:30am — No Comments

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

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…

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Added by ajit jaokar on April 11, 2021 at 11:38am — No Comments

Introduction to Probabilistic programming

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…

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Added by ajit jaokar on April 4, 2021 at 1:00pm — No Comments

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

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…

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Added by ajit jaokar on March 28, 2021 at 9:51am — No Comments

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

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.

Nokia…

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Added by ajit jaokar on March 21, 2021 at 11:30am — No Comments

The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models

This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models

 

In the previous blog the Bayesian vs frequentist…

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Added by ajit jaokar on March 14, 2021 at 8:30am — No Comments

Measuring progress in Symbolic AI: the biggest surprise in AI trends report from Stanford

 

The biggest surprise for me in the "Measuring trends in Artificial…

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Added by ajit jaokar on March 7, 2021 at 12:10pm — No Comments

The Bayesian vs frequentist approaches: implications for machine learning – Part two

This blog is the second part in a series. The first part is The Bayesian vs frequentist approaches: implications for machine learning – Part One

In part one, we summarized that:

There are three key points to…

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Added by ajit jaokar on February 28, 2021 at 11:43am — No Comments

The Bayesian vs frequentist approaches: Implications for machine learning – Part One

Background

The arguments / discussions between the Bayesian vs frequentist approaches in statistics are long running. I am interested in how these approaches impact machine learning. Often, books on machine learning combine the two approaches, or in some cases, take only one approach. This does not help from a learning…

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Added by ajit jaokar on February 21, 2021 at 12:18pm — No Comments

Probabilistic Machine Learning book – a great free reference for maths of machine learning



At the #universityofoxford I focus a lot on the mathematics aspect of AI

 

I recommend eight books for the mathematics of AI

 

 

  1. The Nature Of Statistical Learning Theory By Vladimir Vapnik.
  2. Pattern Classification By Richard O Duda
  3. Machine Learning: An Algorithmic Perspective, Second…
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Added by ajit jaokar on February 14, 2021 at 1:41pm — No Comments

What distributions do we need to use Deep Learning?

 

I was asked this question: “What distributions do we need to use Deep Learning?”

 

This is a question with a multi-faceted answer.

 

The direct answer is that algorithms which are traditionally referred to as deep learning (MLP, CNN, LSTM) do not need to know the distribution in advance since they…

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Added by ajit jaokar on February 7, 2021 at 1:26pm — No Comments

A free open-source book to get started with 5G

5G is critical to many business applications.

Below is a great free opensource book to get started with 5G.

But first, here are five reasons why you should study 5G  

Private 5g

If you want to deploy broadband within the Enterprise – there are two main options: rely on WiFi or work with the public telecom…

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Added by ajit jaokar on January 31, 2021 at 1:50pm — No Comments

National AI strategies - A summary of major initiatives

AI is central to the future competitiveness of nations. Here is a summary of the major initiatives from nations who have declared a national AI strategy. I have listed the original source at the end of the blog. I have added some links in the case of each nation which I found interesting

United States of…

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Added by ajit jaokar on January 24, 2021 at 10:30am — No Comments

Advantages and Disadvantages of Automated Machine Learning

The title of this blog is accurate

There are indeed some caveats / disadvantages to automated machine learning.

This blog was motivated by a question in my University of Oxford class effectively asking:

Will automated machine learning take over all the data scientists’ tasks?

If you listen to the…

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Added by ajit jaokar on January 18, 2021 at 3:00am — No Comments

Interesting AI papers published in 2020

For my own research and teaching, I follow AI papers. Here is a list of papers I find interesting. I analysed 3 lists (links below) as meta-references for lists of good papers

From that list and also my own interests, here is a set of papers I find interesting in 2020

 

CORE PAPERS

These influence…

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Added by ajit jaokar on January 4, 2021 at 3:20am — No Comments

A simple way to understand the statistical foundations of data science

Introduction

There are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. Peng. These questions help to frame our thinking of data science problems. Here, I propose that these questions also provide a unified framework for relating statistics…

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Added by ajit jaokar on December 27, 2020 at 3:11pm — No Comments

Applications of Deep Neural Networks 575 page free book by Jeff Heaton

If you want some holiday reading, here is something for you 

I think  this is extraordinarily generous 

Applications of Deep Neural Networks 575 page free book by Jeff Heaton 

TOC below download links at the end of the post

Happy holidays :)  

0.1 Introduction . . . .…

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Added by ajit jaokar on December 24, 2020 at 1:31pm — No Comments

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