AI is a complex subject and hard to learn
Often, in the early stages, people make mistake such…Continue
Added by ajit jaokar on October 24, 2021 at 9:30am — No Comments
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…Continue
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…Continue
Added by ajit jaokar on October 9, 2021 at 2:00pm — No Comments
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…Continue
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…Continue
Added by ajit jaokar on September 26, 2021 at 11:00am — No Comments
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.…Continue
Added by ajit jaokar on September 19, 2021 at 8:30am — No Comments
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 “…Continue
Added by ajit jaokar on September 12, 2021 at 8:30am — No Comments
We follow on from our two previous postsContinue
Added by ajit jaokar on September 5, 2021 at 7:00am — No Comments
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…Continue
Added by ajit jaokar on August 29, 2021 at 10:00am — No Comments
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…Continue
Added by ajit jaokar on August 22, 2021 at 5:30am — No Comments
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.
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…Continue
Added by ajit jaokar on August 8, 2021 at 9:30am — No Comments
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.Continue
Added by ajit jaokar on August 1, 2021 at 7:00am — No Comments
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…Continue
Added by ajit jaokar on July 24, 2021 at 9:30am — No Comments
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…Continue
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…Continue
Added by ajit jaokar on July 11, 2021 at 6:00am — No Comments
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…Continue
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…Continue
Added by ajit jaokar on June 20, 2021 at 4:00am — No Comments
Andrew Ng is a key reference point for me in understanding AI.
Andrew Ng is always easy to understand – especially…Continue
Added by ajit jaokar on June 13, 2021 at 4:30am — No Comments
Ethical AI and Responsible AI are becoming increasingly important for two main reasons
Firstly, it is good customer best practice and also governments(especially in the EU and USA) are…
Added by ajit jaokar on June 6, 2021 at 5:43am — No Comments