'What next for artificial intelligence (AI) and machine learning?' That is the question to be tackled by Professor Neil Lawrence of the University of Cambridge on Tuesday 21st April, as Cambridge Network responds further to the coronavirus crisis by taking its business lecture series online.
Network's first online business lecture looks at the future of AI and machine learning
Professor Lawrence- who recently left Amazon to join the University of Cambridge as the first DeepMind**-funded professor of machine learning - was quoted in a recent BBC news article ‘Researchers: Are we on the cusp of an ‘AI winter?’ which explored whether or not the AI industry was cooling off after much hype over the past 10 years. However, he believes that AI is still very much still in the "wonder years".
On his appointment he said “AI and machine learning have the potential to reshape almost every aspect of our lives, but we desperately need more machine learning specialists, or else the promise of AI will not be realised.”
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One of the avenues he seeks to explore in his new role is exploring machine learning approaches in Africa, which can have benefits in the developed world as well.
“With data and machine learning, you can have a more advanced data infrastructure in Africa than in some developed countries,” he said. “It’s rare in the UK or Europe that you’re asked to look at a machine learning problem from end to end, but you can do that in Africa, and it leads to better solutions. That’s the kind of approach I want to take to machine learning in my work at Cambridge.”
The session will take place at 12.30pm - 1.30pm on Tuesday 21st April. Please sign up to take part!
Participants will be sent a link to join via Zoom prior to the start time.
**DeepMind is an AI research company owned by Google which donated nearly £4m to Cambridge last year to fund this new position and a series of PhD positions and Masters places.
Cambridge Network is a membership organisation based in the vibrant high technology cluster of Cambridge, UK. We bring people together - from business and academia - to meet each other and share ideas, encouraging collaboration and partnership for shared success.