AI is a complex subject and hard to learn

Often, in the early stages, people make mistake such…

Background

Every industry will be affected by algorithms and algorithmic bias. But we could rethink this as – Do algorithms introduce bias or do they introduce transparency?

An interesting paper illustrates this point. Assessing Algorithmic Biases for Musical Version…

I read an article recently, which had a memorable statement:

“Just about every successful deployment of AI has either one of two expedients: It has a person somewhere in the loop, or the cost of failure, should the system blunder, is very low.”

In the article…

Extending our previous theme Companies who had AI and Digital at their core have fared far better in the pandemic, in this post, we consider the approaches to AI from individual companies

Sometimes you see a…

We knew intuitively that companies that have digital technologies and AI at their core have fared better in the pandemic. 

But now, there appears to be some evidence of this as per research by the Boston Consulting Group

The BCG calls these resilient companies by an odd name: ‘Bionic companies’ which can be described by a…

Following on from the article last week – Deep learning in biology and medicine – we discuss another sobering trend -  according to some recent research shared on MIT technology review  Hundreds of AI tools have been built to catch covid.…

Background

In this post, we examine applications of deep learning to three key biomedical problems:   patient classification, fundamental biological processes, and treatment of patients. The objective is to predict whether deep learning will transform these tasks.

The post is based on the very comprehensive paper “…

We follow on from our two previous posts 

Opportunities and Risks of foundation models

Understanding self supervised…

In the last blog, we discussed the opportunities and risks of foundational models. Foundation models are trained on a broad dataset at scale and are adaptable to a wide range of downstream tasks. In this blog, we extend that…

This month, the Centre for Research on foundation models at the University of Stanford published an insightful paper called On the Opportunities and Risks of Foundation Models…

Even for many data scientists, Probabilistic Programming is a relatively unfamiliar territory. Yet, it is an area fast gaining in importance.

In this post, I explain briefly the exact problem being addressed by Probabilistic Programming

We can think of Probabilistic Programming as a tool for statistical modelling.

Probabilistic…

Background

We all have a mobile phone and, in this sense, we are all consumers of mobile technology. Over the past four decades, mobile networks have evolved in parallel to the internet. However, the next evolution of the mobile network (5G) has much to offer to the enterprise. Yes, consumers will benefit because 5G is more than 100 times…

Background

Many areas of AI continue to show innovation at an exciting pace.

For example, today, generative methods are on my radar. So, its nice to see innovation in an area which is stable and mature.

Charticulator from Microsoft research is a…

Editorial Note: Ajit Jaokar's contribution this week hits home a point that I think it very important. As with any job, it is the value that you bring as a problem solver and someone capable of looking at obstacles as challenges rather than the base skills that you have in a given discipline, that will ultimately determine whether…

In the last post, we discussed an outline of AI powered cyber attacks and their defence strategies. In this post, we will discuss a specific type of attack which is called adversarial attack.

Adversarial attacks are not…

Cyberattacks are on the rise. AI is part of the threat but also part of the solution. Especially, some of the newer AI strategies (such as adversarial attacks) could be a significant new attack vector.

For example, using deepfakes, you could create highly realistic videos, audio or photos and overcome biometric security systems or infiltrate…

Here is a great too for your AI research

I feel like a kid in a candy shop! 

If you are like me, and want to stay on top of AI, you spend a lot of time working through research papers

However, there is no tool which can show you great new research in AI in near real time

So, it was great to find this free and open source…

Here is a paper which gives a set of coding puzzles which could be useful for technical interviews in data science.

The paper introduces a new type of programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis, and release an open-source dataset of Python Programming Puzzles…

Introduction

Andrew Ng is a key reference point for me in understanding AI.

Andrew Ng is always easy to understand – especially…