# Neil Lawrence
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neil lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge in the Department of Computer Science and Technology, Senior AI Fellow at the Alan Turing Institute and visiting Professor at the University of Sheffield.
== Education ==
Lawrence obtained a Bachelors in Engineering degree in Mechanical Engineering at the University of Southampton, and a PhD from the University of Cambridge, with a thesis on Variational Inference in Probabilistic Models, supervised by Christopher Bishop. He spent a year at Microsoft Research before becoming a Senior Lecturer in Machine Learning and Computational Biology at Sheffield University over the ensuing six years.
Can the UK become an AI superpower?
The Prime Minister, Sir Keir Starmer wants the UK to become “one of the great AI superpowers”. Earlier this year the government published a plan to use artificial intelligence in the private and public sectors to boost growth and deliver services more efficiently. Once mainly the preserve of t ...
6: Andréa Ferreira
Join host Neil Lawrence, educational developer at UNSW Sydney, in conversation with Andréa Ferreira, a senior education developer (PVCE). A former academic and Latin American historian, Andréa shares her journey into the third space, reflecting on tutor support, mentorship, and trust-building wi ...
Neil Lawrence on taking down the 'digital oligarchy' and why we shouldn't fear AI
When you think of Artificial Intelligence, does it inspire confidence, or concern?
Although it's now generally accepted that this technology will play a major role in our future, a lot of conversations around AI and machine learning come back to the argument over us losing control and robots tak ...
From South London to the Boardroom: Life Lessons with Neil Lawrence
Today, I’m joined by Neil Lawrence—someone who’s been at the heart of the UK’s builders merchant scene for decades. From starting out in South London with £20 a week to becoming Chief Operating Officer of Jewson and running some of the country’s biggest brands, Neil’s journey is full of lessons, ...
#90 (Reaction) - Disbelieving AI 2027: Responding to "Why We're Not Ready For Superintelligence"
Always the uncool kids at the table, Ben and Vaden push back against the AGI hype domininating every second episode of every second podcast. We react to "We're not ready for superintelligence" by 80,000 Hours - a bleak portrayal of the pre and post AGI world. Can Ben keep Vaden's sass in check? ...
The Life Scientific: Neil Lawrence
When you think of Artificial Intelligence, does it inspire confidence, or concern?
Although it's now generally accepted that this technology will play a major role in our future, a lot of conversations around AI and machine learning come back to the argument over us losing control and robots tak ...
Skin in the game: Professor Neil Lawrence on vulnerability, accountability and why the next generation will thrive.
From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor Neil Lawrence brings a refreshingly grounded perspective to AI. Lawrence introduces his "atomic human" concept; arguing it's not our capabilities but our vulnerabilities and limitations that make us ...
Primal Intelligence: The Human Edge in an AI World
AI is getting smarter. But are we? What if the future doesn't belong to people who can out-calculate machines—but to people who can out-imagine them? In a world dominated by algorithms and automation, what makes us irreplaceably human?
According to this week's special forum guest, the answer i ...
E29 - Tokunboh Ishmael, Co-Founder and Managing Director of Alitheia Capital
Why do less than 2% of investments go to female founders globally? And what are we missing because of it? In this episode, Tokunboh Ishmael, one of Africa’s leading voices in impact investing and gender lens finance, explores the realities of investing to improve lives across Africa. As co-found ...
69: Should we worry about AI in health care? – with Neil Lawrence
The headlines are bloodcurdling. AI ‘could wipe out humanity’, with varying probabilities attached to an extinction-level event. But what lies behind these apocalyptic predictions and how worried should we really be?
In a high-risk area like health care, safe, responsible use of AI technologi ...
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