Nuclear fusion, new drugs, better batteries: how AI will transform science
Nov 2, 2023
18:06
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This podcast explores the potential of AI in transforming science and medicine, discussing applications such as analyzing large datasets, controlling plasma containment, and predicting protein structures for drug development. It also explores how AI can personalize clinical trials, aid in early diagnosis, and predict healthcare resource requirements. The importance of developing fair AI for clinicians and patients is highlighted, along with the potential impact of AI on material design, battery technology, and sustainability.
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Quick takeaways
AI has the potential to improve various aspects of society including particle physics and biology through its ability to analyze data and discover new patterns.
AI has the potential to revolutionize the energy sector by controlling the containment of fusion reactors and transform medicine by predicting protein structures for drug discovery and personalized patient care.
Deep dives
AI Safety Summit: Mitigating the risk of extinction
The world's first global AI safety summit, hosted by UK Prime Minister Rishi Sunak, brings together senior politicians and technology executives to address potential risks and challenges. Scientists, engineers, and CEOs in the AI field are warning that the risk of AI-related extinction should be a global priority. However, if managed properly, AI has the potential to improve various aspects of society.
AI's Impact on Science: From particle physics to biology
AI is already widely used in science, with applications in fields like particle physics and biology. For instance, AI has improved the understanding of particle physics by analyzing data from massive detectors. In biology, AI is beneficial due to its ability to process large and messy datasets, leading to the discovery of new patterns and insights. AI's contributions to science and medicine are highly exciting and promising.
AI's Role in Fusion and Protein Structure Prediction
AI is being used to control the containment of fusion reactors, potentially revolutionizing the energy sector. Additionally, DeepMind's AlphaFold is a major breakthrough in AI, as it can predict the structures of human proteins. Understanding protein structure is crucial in drug discovery, as it helps identify drug targets, design effective drugs, and personalize patient care. AI has the potential to transform medicine, from clinical trials to diagnosis and treatment.
As the UK hosts the first global AI safety summit, Guardian science editor Ian Sample joins Madeleine Finlay to look on the bright side and consider some of the huge benefits AI could bring to science. Madeleine also hears from Prof Mihaela van der Schaar, an expert in machine learning in medicine, about how she predicts AI will transform patient care. Help support our independent journalism at theguardian.com/sciencepod
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