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.
Last night’s changes in AI have been seismic post the shock resignation of Sam Altman. It is still early days and these changes will be… Read More »Should you recalibrate your AI roadmap post changes in OpenAI?
We are seeing a flurry of regulation But we should ask ourselves if we are seeing regulatory capture — ie letting corporations write lax rules… Read More »Regulatory Capture: Why AI regulation favours the incumbents
We are seeing a bunch of AI regulatory announcements from both sides of the Atlantic President Biden with his executive order on safe, secure and trustworthy AI,… Read More »Andrew Ng for President?
One of my students asked me: “Which is the best area/s for Gen AI start-ups?” This is not an easy question – mainly due to… Read More »Generative AI megatrends: Gen AI start-up ecosystem
One of the most impressive generative AI applications I have seen is viperGPT. The image / site explains it best. The steps are: This example,… Read More »Generative AI Megatrends: ChatGPT can see, hear and speak – but what does it mean when ChatGPT can think?
I recently subscribed to openAI GPT4 for the OpenAI Code Interpreter/Advanced data analytics. We are using it in our class at the University of Oxford. … Read More »Generative AI megatrends: How many LLMs would you subscribe to?
As generative AI evolves, certain trends are becoming clearer, In yet another milestone in AI consulting giant McKinsey unveiled its own generative AI tool for… Read More »Generative AI megatrends: Generative AI for enterprise is proven vs generative AI for consumer is not – Part One
In part one of this blog, we saw how there is an increasing case for an enterprise chatbot use case. In part two, we ask… Read More »Generative AI megatrends: Generative AI for enterprise is proven vs generative AI for consumer is not – Part two
In the early days of the Internet, there were four ‘horsemen’ of the Internet With IBM’s 4.5 billion investment in Hugging face today, the generative… Read More »Generative AI megatrends: The four horsemen of Generative AI
Background In the previous part of this blog, we explored the limitations of GPT-4. In this post, we will explore if open source models can… Read More »Generative AI megatrends: implications of GPT-4 drift and open source models – part two
