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With Russell Hanson (Chief Scientific Officer, Endjinn).
Thu, Oct 25, 2018 @ 06:00 PM   $5   Qplum HQ, 185 Hudson St, Ste 1620
 
   
 
 
              

      
 
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EVENT DETAILS
This talk will cover using artificial intelligence, machine learning, & deep learning to analyze the human brain.

AI has perhaps the greatest potential to help humans in health, wellness, & anti-aging & also has myriad potential for new products, services, & new businesses.

Brain Backups aims to decipher all the neuronal connections in the human connector. The connectome is like the genome of the mind -- it is the neural network of connections in the brain. You are your connectome. Many pieces of connectomes from different organisms & brain regions have been studied in great detail, but the holy grail is whole brain in vivo non-destructive non-invasive connectome imaging. Think of it as Time Machine for your brain -- create a backup every two weeks, restore as needed.

The complexity of the human brain requires many different AI's to decipher & label different cellular & neuronal features. It would take many lifetimes for a human pathologist to systematically label & annotate all of the neuroanatomical features of the brain, so we have developed several AI's to perform different labeling & annotation tasks. This has greatly accelerated the rate at which whole brains can be analyzed post mortem. Many hurdles remain to resolve all neurons & inter-neuron connections in vivo, but we have recently had significant breakthroughs in this direction that I will discuss.

Speaker's Bio:
Russell Hanson is currently Chief Scientific Officer of Endjinn, a Consensys Spoke company.

Previously he was a professor of Genetics & Genomic Sciences at the Mount Sinai School of Medicine & also serves as the CSO of Brain Backups. Brain Backups develops technologies in imaging & artificial intelligence to analyze the brain at unprecedented scales a
Links:
https://www.linkedin.com/in/russellhanson/

This Guy Wants to Help You Download Your Brain
https://www.vice.com/en_us/article/gq8vbx/big-brain-connectome-interview
 
 
 
 
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