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.
Background Digital Twins are virtual representations of physical objects, and they can be connected with their physical counterparts. Through this connection, Digital Twins contribute to… Read More »An analysis of Digital Twin Applications across industries
Healthcare offers one of the biggest areas where AI could impact people. AI in healthcare is already widespread but is expected to grow even further.… Read More »AI and Healthcare: AI as a Triaging Tool for Healthcare
How exactly do you define Artificial Intelligence(AI)? This looks like a back to basics/ back to school question – but the answer is not that… Read More »How exactly do you define Artificial Intelligence(AI)?
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
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?
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
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
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
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?
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
