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Salim Houari liked ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
19 minutes ago
ajit jaokar liked ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
11 hours ago
ajit jaokar posted a blog post

The most common mistake people make in mid-career transition to AI

 AI will impact many jobs  and COVID has only accelerated this trend    Based on my teaching at the University of Oxford for AI, we see a big demand for people wanting to transition to AI due to the current environment. If you are at the early stage of your career (less than two years out of Uni), a transition to AI is relatively easierBut you may need a different…See More
yesterday
ajit jaokar's blog post was featured

The most common mistake people make in mid-career transition to AI

 AI will impact many jobs  and COVID has only accelerated this trend    Based on my teaching at the University of Oxford for AI, we see a big demand for people wanting to transition to AI due to the current environment. If you are at the early stage of your career (less than two years out of Uni), a transition to AI is relatively easierBut you may need a different…See More
yesterday
Anthony Fiedler liked ajit jaokar's blog post A taxonomy of explainable (XAI) AI models
Nov 7
ajit jaokar liked ajit jaokar's blog post A taxonomy of explainable (XAI) AI models
Nov 6
ajit jaokar posted a blog post

A taxonomy of explainable (XAI) AI models

I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning byVaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI). XAI is a complex subject and as far as I can see, I have not yet seen a taxonomy of XAI. Hence, I hope…See More
Nov 6
ajit jaokar's blog post was featured

A taxonomy of explainable (XAI) AI models

I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning byVaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI). XAI is a complex subject and as far as I can see, I have not yet seen a taxonomy of XAI. Hence, I hope…See More
Nov 6
Vidya Manu Shankar liked ajit jaokar's blog post Insights from the free state of AI repost
Nov 4
ajit jaokar posted blog posts
Oct 27
ajit jaokar's blog post was featured

Insights from the free state of AI repost

For the last few years, I have read the free state of AI reportHere are the list of insights which I found interestingThe full report and the download link is at the end of this article AI research is less open than you think: Only 15% of papers publish their code Facebook’s PyTorch is fast outpacing Google’s TensorFlow in research papers, which tends to be a leading…See More
Oct 27
ajit jaokar liked ajit jaokar's blog post The implications of Huang’s law for the Artificial Intelligence stack
Oct 25
ajit jaokar's blog post was featured

The implications of Huang’s law for the Artificial Intelligence stack

 Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law. Moore’s predicts that the number of transistors in an integrated circuit doubles every two years. As per Huang’s law, GPU performance will double every two years. Whether or not you subscribe to the idea of Huang’s law – the concept itself has far reaching…See More
Oct 25
Nestor A Noriega liked ajit jaokar's blog post Free book - Cloud Native, Containers and Next-Gen Apps
Oct 25
ajit jaokar liked Kurt Cagle's blog post Next Generation Chip Wars Heat Up as AMD Eyes Xilinx acquisition
Oct 24
ajit jaokar liked ajit jaokar's blog post Free book - Cloud Native, Containers and Next-Gen Apps
Oct 24

Profile Information

Company:
futuretext
Job Title:
founder
Seniority:
Professor
Industry:
IoT, Telecoms, Smart Cities
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
LinkedIn Profile:
http://www.opengardensblog.futuretext.com/archives/2016/01/data-sci...
Interests:
Finding a new position, Networking, New venture, Other

Ajit jaokar's Blog

The most common mistake people make in mid-career transition to AI

Posted on November 23, 2020 at 12:46pm 0 Comments

 AI will impact many jobs  and COVID has only accelerated this trend   
 
Based on my teaching at the University of Oxford for AI, we see a big demand for people wanting to transition to AI due to the current environment. 
If you are at the early stage of your career (less than two years out of Uni), a transition…
Continue

A taxonomy of explainable (XAI) AI models

Posted on November 6, 2020 at 2:00pm 0 Comments

I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning by

Vaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI).

 

XAI is a complex subject…

Continue

Insights from the free state of AI repost

Posted on October 27, 2020 at 11:04am 0 Comments

For the last few years, I have read the free state of AI report

Here are the list of insights which I found interesting

The full report and the download link is at the end of this article

 

AI research is less open than you think: Only 15% of papers publish their…

Continue

The implications of Huang’s law for the Artificial Intelligence stack

Posted on October 24, 2020 at 2:03pm 0 Comments

 Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law.

 

Moore’s predicts that the number of transistors in an integrated circuit doubles every two years.

 

As per Huang’s law, GPU performance will double every two years.

 

Whether or not you…

Continue

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