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The Revolutionary Potential of AI with CSAIL Professor Manolis Kellis

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Manage episode 459597756 series 1237354
Content provided by MIT CSAIL Alliances and CSAIL Alliances. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CSAIL Alliances and CSAIL Alliances or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Have we achieved Artificial General Intelligence? MIT CSAIL Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks. What does this mean for the future of AI integration, regulation, and development? Hear Professor Kellis’ ideas about how businesses can incorporate LLMs (large language models) to minimize silos, why we shouldn’t put up too many guardrails on AI technology, and how human-AI collaboration can lead to broader societal benefit, including healthcare. Professor Kellis is working toward a future where AI transforms healthcare through a deeper understanding of our individual genetics and targeted treatment development. Visit Professor Kellis’s website to learn more about his work on AI and computational biology: https://www.csail.mit.edu/person/manolis-kellis
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63 episodes

Artwork
iconShare
 
Manage episode 459597756 series 1237354
Content provided by MIT CSAIL Alliances and CSAIL Alliances. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CSAIL Alliances and CSAIL Alliances or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Have we achieved Artificial General Intelligence? MIT CSAIL Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks. What does this mean for the future of AI integration, regulation, and development? Hear Professor Kellis’ ideas about how businesses can incorporate LLMs (large language models) to minimize silos, why we shouldn’t put up too many guardrails on AI technology, and how human-AI collaboration can lead to broader societal benefit, including healthcare. Professor Kellis is working toward a future where AI transforms healthcare through a deeper understanding of our individual genetics and targeted treatment development. Visit Professor Kellis’s website to learn more about his work on AI and computational biology: https://www.csail.mit.edu/person/manolis-kellis
  continue reading

63 episodes

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