Exploring AI labeling for children’s products
I read an article from the world economic forum which proposed an AI labeling system for AI products designed for children Today, for the first… Read More »Exploring AI labeling for children’s products
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ajitjaokar
Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
GitHub Co-Pilot Alternatives: Can They Match the Functionality of Co-Pilot?
One of the best known examples of GPT-3 for developers is the Github co-pilot Trained on billions of lines of public code, GitHub Copilot is… Read More »GitHub Co-Pilot Alternatives: Can They Match the Functionality of Co-Pilot?
Biases in CLIP and the Stanford HAI report
The Stanford HAI (Human cantered artificial intelligence) report is out. I track this report every year and it always has some good insights. The report… Read More »Biases in CLIP and the Stanford HAI report
Opening the Pod Bay Door: Regulating multi-purpose AI
The European Commission published a draft AI Regulation this week that is the world’s first concrete proposal for regulating artificial intelligence (AI). Like GDPR, the… Read More »Opening the Pod Bay Door: Regulating multi-purpose AI
Understanding Distance Metrics and Their Significance
I saw a nice representation of distance metrics. This topic is not easy to explain. This representation provides a good overview (link below to download… Read More »Understanding Distance Metrics and Their Significance
Could an explainable model be inherently less secure?
In a week when privacy is very much on the agenda, we ask how can we protect AI models. This is already a mature field… Read More »Could an explainable model be inherently less secure?
The One Algorithm Change That Could Impact the World
We worry about algorithms ruling our world Some of these concerns are genuine Others unfounded But I believe that as of now, in the absence… Read More »The One Algorithm Change That Could Impact the World
Enterprise 5G AI and IoT applications
Yesterday, in our class, we had a discussion on the significance of 5G applications Its easy to get mixed up about this topic – so… Read More »Enterprise 5G AI and IoT applications
How to create an AI framework based on ethical values
We all recognize the value of AI ethics but how do we implement AI ethics? The challenge is to create a solution that conforms to… Read More »How to create an AI framework based on ethical values
Insights from workshop on Bayesian deep learning at neurips 21
I have been exploring Bayesian strategies for the last year. Considering the limitations of neural network strategies (ex their need for large volumes of data)… Read More »Insights from workshop on Bayesian deep learning at neurips 21