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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 hysterica ...
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Neuroscience and AI with Basis co-founder Emily Mackevicius
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Emily Mackevicius is a co-founder and director of Basis, a nonprofit applied research organization focused on understanding and building intelligence while advancing society’s ability to solve intractable problems. Emily is a member of the Simons Society of Fellows, and a postdoc in the Aronov lab and the Center for Theoretical Neuroscience at Colu…
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Stability AI’s Stable Diffusion model is one of the best known and most widely used text-to-image systems. The decision to open-source both the model weights and code has ensured its mass adoption, with the company claiming more than 330 million downloads. Details of the latest version - Stable Diffusion 3 - were revealed in a paper, published by t…
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Inside OpenAI's trust and safety operation - with Rosie Campbell
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No organisation in the AI world is under more intense scrutiny than OpenAI. The maker of Dall-E, GPT4, ChatGPT and Sora is constantly pushing the boundaries of artificial intelligence and has supercharged the enthusiasm of the general public for AI technologies. With that elevated position come questions about how OpenAI can ensure its models are n…
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Nina Schick is a leading commentator on Artificial Intelligence and its impact on business, geopolitics and humanity. Her book ‘Deepfakes and the Infocalypse’ charts the early use of gen AI to create deepfake pornography and the technology’s subsequent use as a tool of political manipulation. With over two decades of geopolitical experience, Nina h…
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Papers of the Month with Charlie Blake, Research Engineer at Graphcore
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Charlie Blake from Graphcore’s research team discusses their AI Papers of the Month for January 2024. Graphcore research has been collating and sharing a review of the most consequential AI papers internally, every month, for a number of years. Now – for the first time – the research team is making this valuable resource public, to help the wider A…
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The rise of synthetic data with Florian Hönicke from Jina AI
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Data is the fuel that is powering the AI revolution - but what do we do when there's just not enough data to satisfy the insatiable appetite of new model training? In this episode, Florian Hönicke, Principal AI Engineer at Jina AI, discusses the use of LLMs to generate synthetic data to help solve the data bottleneck. He also addresses the potentia…
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NeurIPS is the world’s largest AI conference, where leading AI practitioners come together to share the latest research and debate the way forward for artificial intelligence. In this special episode, Helen examines some of the big themes of NeurIPS 2023 and talks to a range of attendees about their work, the big issues of the day, and what they’ve…
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Miranda Mowbray - Honorary Lecturer in Computer Science, University of Bristol: AI and Ethics
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Miranda Mowbray is one of Britain’s leading thinkers on the ethics of Artificial Intelligence. After a long and distinguished career as a research scientist with HP, she is now an Honorary Lecturer in Computer Science at the University of Bristol where she specialises in ethics for AI, and data science for cybersecurity. In our wide-ranging convers…
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Danijela Horak explains how the BBC is making use of AI and its plans for the future, including detecting deepfakes as well as using deepfake technology as part of its production process. Danijela and Helen discuss the Corporation's use of open source models and its view on closed source technologies such as the GPT family of models from OpenAI. We…
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First episode coming soon... Join Graphcore's Helen Byrne and leading figures in the world of Artificial Intelligence as they discuss advances in AI research, commercial deployment, ethics, and occasional weird and wonderful applications.저자 Helen Byrne
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