CSAIL + Imagination in Action jointly hosted a landmark event in honor of CSAIL's 60-year anniversary. On Tuesday, June 27, 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.
Watch each CSAIL expert's talk:
- Daniela Rus: Liquid Neural Networks, A New Idea That Allows AI To Learn Even After Training
- Bob Metcalfe: How Turing Award Winner Bob Metcalfe Invented The Ethernet
- Dina Katabi: Using Invisible Radio Waves To Detect Parkinson’s With Help From AI
- Andrew Lo: Can Financial Engineering And Data Science Help Cure Cancer?
- Stefanie Mueller: Programmable Matter: Giving Physical Objects Digital Capabilities
- Marzyeh Ghassemi: How AI Can Create More Equitable Healthcare
- Hari Balakrishnan: Using AI To Predict Car Crashes And Make Roads Safer
- Russ Tedrake: Deep Neural Networks Enable Robots To Make Pizza
- Armando Solar-Lezama: Machine Learning Vs. Programming: What Actually Is The Difference?
- Jacob Andreas: How Can We Get Language Models To Learn More?
- Stefanie Jegelka: What Graph Models, A Branch Of Machine Learning, Like To Learn
- Una-May O'Reilly: How Will Large Language Models Impact Cybersecurity?
- John Guttag: Can AI Fix The U.S. Healthcare System?
- Antonio Torralba: Using Visual Noise, Not Human-Generated Labels, To Train AI
- Daniel Jackson: Why AI Needs Software Design Concepts for Successful Applications
- Sandeep Silwal: The Marriage Of (Provable) Algorithm Design And Machine Learning
- Rohit Singh: Using Protein Language Models For Drug Discovery
- Leslie Pack Kaelbling: Doing For Our Robots What Nature Did For Us
- John Leonard: Learning-Augmented Robot Navigation for Complex Environments
- David Sontag: How AI Can Help Doctors Make Better Decisions
- Tomas Lozano-Perez: Adopting Established Methods Instead Of Starting Anew For AI Improvement
- Yoon Kim: Language Models Can Gain Impressive Knowledge From Surface-Form Text - Like How To Draw
- Michael Stonebraker: A Novel OS Built Just For Databases
- Polina Golland: Machine Learning Can Make X-Rays More Valuable To Doctors
- Tomaso Poggio: Theory Is Key To Make Better AI
- Manolis Kellis: Curing Disease With Genetics And AI
- Alexandra Henzinger: Modern Cryptography Can Eliminate Data Privacy Concerns
- Dylan Hadfield-Mennell: Inside The Complexity Of Setting Goals For AI Systems
- Frédo Durand: Can Academia Compete With Private Sector In AI?
- Pulkit Agrawal: Making Robots As “Intelligent” As ChatGPT
- David Gifford: How AI Can Help Make A Better Covid Vaccine
- Aude Oliva: Building Tools To Learn Human Brain Processes
- Neil Thompson: Meeting The Computing Demand Of AI
- Saman Amarasinghe: A Novel Approach To Compressing Sparse Data Tensors
- Nir Shavit: Cheap Microscopes Can Create The Same Images As Expensive Ones - And Why It Matters
- Adam Chlipala: Compiler-Generated Code That's As Good As Expert Coders’
- Collin Stultz: Your Apple Watch Could Detect Heart Failure Before Symptoms With The Help Of AI
- William Freeman: Building A Microscope That Magnifies Motion
- James Glass: Using Images To Train Large Language Models
- David Karger: A Big Idea To Restore Trust To The Internet - It’s Not The Government
- Tim Kraska: Fundamentally Changing How We Approach Analytics
- Mike Cafarella: A Hedonic Price Index Can Change Our Understanding Of The Economy
- Julian Shun: Understanding The Importance Of Graph Analytics
- Sacha Servan-Schreiber: How To Have A Private Conversation With AI
- Ron Miasnik: Scaling Impact: Startups As A Way To Bring AI Ideas To Life
- Joseph Ravichandran: Inside The Mind Of A Computer Hacker
- Karen Sollins: Transforming The Cost Of DDoS Mitigation
- David Kim: Exploring The Potential Of Generative AI In K-12 Education
- Joel Emer: A Systematic Approach To Designing AI Accelerator Hardware
- Justin Solomon: Helping Computers Understand Shape
- Tanner Andrulis: Efficient AI Inference With Analog Processing In Memory
- Peter Mikhael: Machine Learning For Healthcare And Drug Discovery
- David Clark: Building The Internet: Are We There Yet?
- Ayush Tewari: Teaching AI To See The 3D World
- Andrei Barbu: Turning Computing Devices Into Social Machines
- Surya Mathialagan: How To Use An Untrusted Cloud Server
For all talks, view our playlist.