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…

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…

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…

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…

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…

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…

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…

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…

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…

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

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…

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…

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…

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…

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…

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…

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…

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…

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…

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 . . . .…