Anne-Marie Imafidon on fighting for diversity and equality in science

The Life Scientific

#BBC #BBC Radio 4 #Science #Society #Conversations

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

2 years ago 28:38

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Anne-Marie Imafidon passed her computing A-Level at the age of 11 and by 16, was accepted to the University of Oxford to study Maths and Computer Science.

She's used to the 'child prodigy' label that's followed her throughout her career, but that doesn't mean she's had an easy ride.

It was a combination of personal experience and the discovery that the number of women working in the STEM sectors - Science, Technology, Engineering and Mathematics - was in free-fall that inspired Anne-Marie to found Stemettes: a not-for-profit social enterprise introducing girls to STEM ideas and careers in fun and accessible ways. It's now in its tenth year and still growing, while Anne-Marie has received an MBE, enjoyed a successful stint as the numbers guru on the TV series Countdown, and is the current President of the British Science Association.

In conversation in front of an audience at the 2023 Cheltenham Science Festival, she tells Jim Al-Khalili about her quest for equality and diversity across the scientific community - and explains why she thinks everyone has the potential to be a 'child prodigy', given the right opportunity...

Produced by Lucy Taylor.

324 episodes

The Life Scientific

Anne-Marie Imafidon on fighting for diversity and equality in science

The Life Scientific

4,702 subscribers

published 2 years ago

MP3•Episode home

Anne-Marie Imafidon passed her computing A-Level at the age of 11 and by 16, was accepted to the University of Oxford to study Maths and Computer Science.

She's used to the 'child prodigy' label that's followed her throughout her career, but that doesn't mean she's had an easy ride.

Produced by Lucy Taylor.

324 episodes

#BBC #BBC Radio 4 #Science #Society #Conversations

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The Life Scientific

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