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Knowledge Distillation with Helen Byrne

Knowledge Distillation with Helen Byrne

Helen Byrne
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Knowledge Distillation is the podcast that brings together a mixture of experts from across the Artificial Intelligence community. 
We talk to the world’s leading researchers about their experiences developing cutting-edge models as well as the technologists taking AI tools out of the lab and turning them into commercial products and services.  
Knowledge Distillation also takes a critical look at the impact of artificial intelligence on society – opting for expert analysis instead of hysterical headlines.
We are committed to featuring at least 50% female voices on the podcast – elevating the many brilliant women working in AI.


Host Helen Byrne is a VP at the British AI compute systems maker Graphcore where she leads the Solution Architects team, helping innovators build their AI solutions using Graphcore’s technology.  

Helen previously led AI Field Engineering and worked in AI Research, tackling problems in distributed machine learning. 

Before landing in Artificial Intelligence, Helen worked in FinTech, and as a secondary school teacher. Her background is in mathematics and she has a MSc in Artificial Intelligence. 


Knowledge Distillation is produced by Iain Mackenzie. 

10 episodes  •  0 archived  •  
S1 E9Neuroscience and AI with Basis co-founder Emily Mackevicius
Apr 15, 2024
35 mins
S1 E8Stable Diffusion 3 with Stability AI's Kate Hodesdon
Apr 7, 2024
32 mins
S1 E7Inside OpenAI's trust and safety operation - with Rosie Campbell
Mar 7, 2024
45 mins
S1 E6Deepfakes deep dive with Nina Schick
Feb 9, 2024
38 mins
S1 E5Papers of the Month with Charlie Blake, Research Engineer at Graphcore
Feb 2, 2024
43 mins
S1 E4The rise of synthetic data with Florian Hönicke from Jina AI
Jan 29, 2024
40 mins
S1 E3NeurIPS Special
Dec 22, 2023
43 mins
S1 E2Miranda Mowbray - Honorary Lecturer in Computer Science, University of Bristol: AI and Ethics
Dec 5, 2023
33 mins
S1 E1Danijela Horak - Head of AI Research, BBC R&D
Dec 4, 2023
38 mins