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Latest Activity

ajit jaokar liked Vincent Granville's blog post Covid-19: My Predictions for 2021
4 hours ago
ajit jaokar liked ajit jaokar's blog post 2021 predictions and trends for AI
6 hours ago
ajit jaokar's blog post was featured

2021 predictions and trends for AI

 Despite all the havoc, 2020 has been a good year for tech and a good year for AI.We already see the green shoots of recovery at the end of 2020 and 2021 holds much promise for growth and technology Here are five predictions for 2021 for AI – some…See More
7 hours ago
ajit jaokar posted a blog post

2021 predictions and trends for AI

 Despite all the havoc, 2020 has been a good year for tech and a good year for AI.We already see the green shoots of recovery at the end of 2020 and 2021 holds much promise for growth and technology Here are five predictions for 2021 for AI – some…See More
7 hours ago
ajit jaokar liked ajit jaokar's blog post Could GPT-3 Change The Way Future AI Models Are Developed and Deployed ?
yesterday
ajit jaokar posted a blog post

Could GPT-3 Change The Way Future AI Models Are Developed and Deployed ?

Much has been said about GPT-3 already.With its 175 billion parameters and a massive corpus of data on which it is trained – GPT-3 is already enabling some innovative applications But GPT-3 could help pave the way for a new way of developing AI models The GPT-3 paper is called Language Models are Few-Shot Learners The main…See More
yesterday
Jörg Narr commented on ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
"Thank you, Ajit. Fully agree. Times will change. Senior roles can bridge the gap between Data Scientists and Business/Use Cases."
Nov 26
ajit jaokar commented on ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
"thanks for your comments @Jorg  I wanted to stress two points in this post a)  Midcareer transition is not the same as early stage due to the need to add more value b)  The previous blog was an idea for illustration  c)  re…"
Nov 25
Jörg Narr commented on ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
"I generally like the post but I think particularly the conclusion is quite brief and seems to me to be mainly used to create more traffic on previous posts. Nevertheless I second your thoughts. In my experience sufficient AI knowledge, frameworks,…"
Nov 25
Salim Houari liked ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
Nov 25
ajit jaokar liked ajit jaokar's blog post The most common mistake people make in mid-career transition to AI
Nov 25
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
Nov 24
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
Nov 24
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

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

2021 predictions and trends for AI

Posted on December 3, 2020 at 11:00am 0 Comments

 

Despite all the havoc, 2020 has been a good year for tech and a good year for AI.

We already see the green shoots of recovery at the end of 2020 and 2021 holds much promise for growth and technology

 Here…

Continue

Could GPT-3 Change The Way Future AI Models Are Developed and Deployed ?

Posted on November 30, 2020 at 12:00pm 0 Comments

Much has been said about GPT-3 already.

With its 175 billion parameters and a massive corpus of data on which it is trained – GPT-3 is already enabling some innovative applications

 

But GPT-3 could help pave the way for a new way of developing AI models

 

The GPT-3 paper is called…

Continue

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

Posted on November 23, 2020 at 12:46pm 3 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

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