CSAIL + Imagination in Action

CSAIL + Imagination in Action

CSAIL + Imagination in Action jointly hosted a landmark event in honor of CSAIL's 60-year anniversary. On Tuesday, June 27, 2023 experts and startup pioneers from across CSAIL shared inspiring talks and thought-provoking ideas. Our symposium aims to bridge the gap between groundbreaking AI innovations and practical applications, providing a platform for luminaries and startup pioneers within CSAIL's ecosystem to share their trailblazing insights and perspectives. Experts from our laboratory exchanged ideas as they delved into their visions for AI, highlighting exciting opportunities and addressing potential risks.

VIDEOS:

  1. Daniela Rus: Liquid Neural Networks, A New Idea That Allows AI To Learn Even After Training
  2. Bob Metcalfe: How Turing Award Winner Bob Metcalfe Invented The Ethernet
  3. Dina Katabi: Using Invisible Radio Waves To Detect Parkinson’s With Help From AI
  4. Andrew Lo: Can Financial Engineering And Data Science Help Cure Cancer?
  5. Stefanie Mueller: Programmable Matter: Giving Physical Objects Digital Capabilities
  6. Marzyeh Ghassemi: How AI Can Create More Equitable Healthcare
  7. Hari Balakrishnan: Using AI To Predict Car Crashes And Make Roads Safer
  8. Russ Tedrake: Deep Neural Networks Enable Robots To Make Pizza
  9. Armando Solar-Lezama: Machine Learning Vs. Programming: What Actually Is The Difference?
  10. Jacob Andreas: How Can We Get Language Models To Learn More?
  11. Stefanie Jegelka: What Graph Models, A Branch Of Machine Learning, Like To Learn
  12. Una-May O'Reilly: How Will Large Language Models Impact Cybersecurity?
  13. John Guttag: Can AI Fix The U.S. Healthcare System?
  14. Antonio Torralba: Using Visual Noise, Not Human-Generated Labels, To Train AI
  15. Daniel Jackson: Why AI Needs Software Design Concepts for Successful Applications
  16. Sandeep Silwal: The Marriage Of (Provable) Algorithm Design And Machine Learning
  17. Rohit Singh: Using Protein Language Models For Drug Discovery
  18. Leslie Pack Kaelbling: Doing For Our Robots What Nature Did For Us
  19. John Leonard: Learning-Augmented Robot Navigation for Complex Environments
  20. David Sontag: How AI Can Help Doctors Make Better Decisions
  21. Tomas Lozano-Perez: Adopting Established Methods Instead Of Starting Anew For AI Improvement
  22. Yoon Kim: Language Models Can Gain Impressive Knowledge From Surface-Form Text - Like How To Draw
  23. Michael Stonebraker: A Novel OS Built Just For Databases
  24. Polina Golland: Machine Learning Can Make X-Rays More Valuable To Doctors
  25. Tomaso Poggio: Theory Is Key To Make Better AI
  26. Manolis Kellis: Curing Disease With Genetics And AI
  27. Alexandra Henzinger: Modern Cryptography Can Eliminate Data Privacy Concerns
  28. Dylan Hadfield-Mennell: Inside The Complexity Of Setting Goals For AI Systems
  29. Frédo Durand: Can Academia Compete With Private Sector In AI?
  30. Pulkit Agrawal: Making Robots As “Intelligent” As ChatGPT
  31. David Gifford: How AI Can Help Make A Better Covid Vaccine
  32. Aude Oliva: Building Tools To Learn Human Brain Processes
  33. Neil Thompson: Meeting The Computing Demand Of AI
  34. Saman Amarasinghe: A Novel Approach To Compressing Sparse Data Tensors
  35. Nir Shavit: Cheap Microscopes Can Create The Same Images As Expensive Ones - And Why It Matters
  36. Adam Chlipala: Compiler-Generated Code That's As Good As Expert Coders’
  37. Collin Stultz: Your Apple Watch Could Detect Heart Failure Before Symptoms With The Help Of AI
  38. William Freeman: Building A Microscope That Magnifies Motion
  39. James Glass: Using Images To Train Large Language Models
  40. David Karger: A Big Idea To Restore Trust To The Internet - It’s Not The Government
  41. Tim Kraska: Fundamentally Changing How We Approach Analytics
  42. Mike Cafarella: A Hedonic Price Index Can Change Our Understanding Of The Economy
  43. Julian Shun: Understanding The Importance Of Graph Analytics
  44. Sacha Servan-Schreiber: How To Have A Private Conversation With AI
  45. Ron Miasnik: Scaling Impact: Startups As A Way To Bring AI Ideas To Life
  46. Joseph Ravichandran: Inside The Mind Of A Computer Hacker
  47. Karen Sollins: Transforming The Cost Of DDoS Mitigation
  48. David Kim: Exploring The Potential Of Generative AI In K-12 Education
  49. Joel Emer: A Systematic Approach To Designing AI Accelerator Hardware
  50. Justin Solomon: Helping Computers Understand Shape
  51. Tanner Andrulis: Efficient AI Inference With Analog Processing In Memory
  52. Peter Mikhael: Machine Learning For Healthcare And Drug Discovery
  53. David Clark: Building The Internet: Are We There Yet?
  54. Ayush Tewari: Teaching AI To See The 3D World
  55. Andrei Barbu: Turning Computing Devices Into Social Machines

For all talks, view our playlist.