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Join Stephen Roberts, co-founder of Mind Foundry and Oxford Professor of Machine Learning, as he dives into the fascinating and counterintuitive world of instability in deep learning. In this thought-provoking 30-minute lecture, Professor Roberts explores how the dynamics of instability can be harnessed to build machine learning models that are not only more robust and reliable but also more energy-efficient.
With the environmental impact of AI under increasing scrutiny, this talk highlights groundbreaking techniques to reduce the carbon footprint of machine learning models without sacrificing for performance.
Whether you’re an AI researcher, industry practitioner, or just curious about the future of machine learning, this lecture offers valuable insights into the intersection of innovation and responsibility in AI.
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