BrainGPT, Neuroscience & Loving the Ants in Ourselves with Brad Love
lovephilosophy.substack.com
Listen now (111 mins) | Brad Love is Professor of Cognitive and Decision Sciences in Experimental Psychology at University College London (UCL) and a fellow at The Alan Turing Institute for data science. Brad and Andrea discuss the intersection of Artificial Intelligence and neuroscience, focusing on Brad's groundbreaking project BrainGPT, a Large Language Model tool to assist neuroscientific research. In getting there, they look back at early experiences and connect the dots of memory and what still resonates in his current work and in memory research in general. They discuss the role of AI and how we might reimagine the labels of neuroscience. They also discuss BrainGPT and the role of LLMs in predicting scientific research outcomes and addressing the challenges posed by the vast volume of academic papers. Concluding with personal insights into the adventures of navigating careers in science and AI research, the conversation navigates the complexities of creativity, scientific discovery, and the pursuit of knowledge in an era marked by rapid technological progress.
BrainGPT, Neuroscience & Loving the Ants in Ourselves with Brad Love
BrainGPT, Neuroscience & Loving the Ants in…
BrainGPT, Neuroscience & Loving the Ants in Ourselves with Brad Love
Listen now (111 mins) | Brad Love is Professor of Cognitive and Decision Sciences in Experimental Psychology at University College London (UCL) and a fellow at The Alan Turing Institute for data science. Brad and Andrea discuss the intersection of Artificial Intelligence and neuroscience, focusing on Brad's groundbreaking project BrainGPT, a Large Language Model tool to assist neuroscientific research. In getting there, they look back at early experiences and connect the dots of memory and what still resonates in his current work and in memory research in general. They discuss the role of AI and how we might reimagine the labels of neuroscience. They also discuss BrainGPT and the role of LLMs in predicting scientific research outcomes and addressing the challenges posed by the vast volume of academic papers. Concluding with personal insights into the adventures of navigating careers in science and AI research, the conversation navigates the complexities of creativity, scientific discovery, and the pursuit of knowledge in an era marked by rapid technological progress.