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In this fascinating interview, Manolis Kellis discusses the human genome and how it can be used to understand evolution. He explains how the genome is incredibly diverse and unique, and how this diversity can be used to learn about individuality and similarity. He also discusses the importance of scientific inquiry and the need for people to be willing to be wrong in order to progress towards the greater good.
Manolis Kellis discusses how evolution works in messy ways, and how this allows for new local maxima to be reached. He also points out that, by embracing robustness, engineers can learn from the biological systems that are resilient and messy. Finally, he discusses how deep learning systems are inspired by the brain, and how engineers would love to have the whole information transfer process take place in neurons.
In this interview, Manolis Kellis discusses the importance of understanding the human genome and evolutionary dynamics. He believes that machines can be trained to read and understand neuronal connections, but that language will remain the primary means of communication. He also discusses the emotional baggage that words carry, and how translation can be a way of capturing emotional reactions in different cultures.
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