NeuroAI seeks to unite neuroscientists and computer scientists worldwide. How does 黑料吃瓜资源鈥檚 NeuroAI Scholars Program foster this collaboration? In our latest episode of At the Lab, CSHL NeuroAI Scholar Kyle Daruwalla gives us the inside scoop.
Transcript
Sara Giarnieri: You鈥檙e now At the Lab with 黑料吃瓜资源. My name is Sara Giarnieri, and this week At the Lab, AI brainiacs.
SG: There鈥檚 a symbiotic relationship between neuroscientists and computer scientists worldwide. These specialists come together in a field called neuroAI. Their collaboration both aids our understanding of brain function and improves artificial intelligence.
SG: CSHL鈥檚 NeuroAI Scholars Program recruits young AI experts to work with neuroscientists on campus. Last summer, Long Island locals heard the inside scoop from one of the program鈥檚 recent participants.
SG: NeuroAI Scholar Kyle Daruwalla discussed his work during Cocktails & Chromosomes, our monthly science talk held at Industry Bar in Huntington, New York.
{A drink is poured.}
Kyle Daruwalla: All the great neuroscientists at Cold Spring Harbor鈥攖hey provide the insights from biology that I use for my research, and I collaborate with them. And what I bring to the table is my background in computer science.
SG: Daruwalla trains AI based on how the human brain learns and adapts. Like the human brain, AI learns by making connections. But it doesn鈥檛 have the same neural patterns that make this process so efficient for us.
KD: Our brains are made up of cells, full neurons, and these neurons are connected to each other. And they鈥檙e not just connected to each other randomly. They have a very specific pattern to those connections. They鈥檙e very structured. And this is why our brains are able to do all the things we鈥檙e able to.
SG: The Human Genome Project took 13 years to complete because human biology is so complex. The same could be said for human intelligence鈥攖he product of millions of years of evolution. Now, scientists are looking for a way to help artificial intelligence catch up.
KD: We鈥檙e trying to port this idea of a genome鈥攁n idea of having a structured pattern as soon as we start out鈥攖o AI models.
SG: Herein lies the promise of neuroAI. With the help of neuroscience, AI could become easier to train and more energy efficient. That would make it more accessible for everyone. In turn, AI could teach us more about the human brain. This could lead to a better understanding of neurological conditions like Alzheimer鈥檚, depression, autism, and more.
SG: Thanks for listening to At the Lab. Please subscribe to get another fascinating story like this delivered each week. You can also find us online at www.cshl.edu. For 黑料吃瓜资源, I鈥檓 Sara Giarnieri, and I鈥檒l see you next time At the Lab.