What if Eye...? Computational Recreating the Evolution of Vision
We created a virtual petri dish where digital creatures evolve eyes from scratch, replaying millions of years of evolution to understand vision.
with Aaron Young*, Dan-Eric Nilsson, Tomaso Poggio, Brian Cheung, Ramesh Raskar
Designing Visual Intelligence for Science and Engineering
Perspective: How biological principles can guide the creation of new forms of artificial visual intelligence.
with Aaron Young, Brian Cheung, Dan-Eric Nilsson, Tomaso Poggio, Ramesh Raskar
[
MIT Press,
(Impacts of Generative AI, MIT Press, 2024)]
#Perspective
#AI For Discovery
Bridging the Data Provenance Gap Across Text, Speech, and Video
Largest and first-of-its-kind longitudinal audit of text, speech, and video datasets used to train AI models.
with Shayne Longpre, Nikhil Singh, Manuel Cherep, Joanna Materzynska, Sara Hooker, Jad Kabbara
Consent in Crisis: The Rapid Decline of the AI Data Commons
A critical examination of the legal, ethical, and infrastructural unraveling of the AI data commons.
Collaborative publication across interdisciplinary researchers.
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Can we use crowdsourced images to create 3D models of the world?
with Zaid Tasneem, Akshat Dave, Ashok Veeraraghavan, Ramesh Raskar
SUNDIAL: 3D Satellite Understanding through Direct Ambient and Complex Lighting Decomposition
Can we use complex lighting to understand 3D objects?
with Nikhil Behari, Akshat Dave, Kushagra Tiwary, ..., Ramesh Raskar
[
Paper,
(CVPR'W 2024)]
#Computer Vision
DISeR: Designing Imaging Systems with Reinforcement Learning
Can we use reinforcement learning to design new imaging systems?
with Tzofi Klinghoffer*, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar
Objects as Radiance Field Cameras
Can we convert arbitrary objects into cameras to recover 3D?
with Akshat Dave, Nikhil Behari, Ramesh Raskar
Towards Learning Neural Representations from Shadow
Can we learn hidden neural representations from binary shadow images?
with Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar
MIT Museum
Experience First Signs of Vision during this special adults-only evening event featuring ocean-themed exhibits and activities.
When: Thursday, April 10, 2025, 6:00pm - 9:00pm
Where: MIT Museum, 75 Amherst Street, Cambridge, MA
Tickets: $20 General, $10 MIT ID Holders
Museum of Science Boston
Explore the First Signs of Vision exhibit at the Museum of Science Boston, perfect for all ages to discover the evolutionary history of sight.
When: Wednesday, April 2, 2025, 1:00pm - 4:00pm
Where: Museum of Science, Boston
Tickets: Included with museum admission
A Perspective on Decentralizing AI
Discusses emerging approaches and motivations behind building decentralized AI systems and infrastructure.
with Abhishek Singh, Charles Lu, Gauri Gupta, A Chopra, J Blanc, T Klinghoffer, K Tiwary, R Raskar
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging
Perspective paper contrasting physics-based priors with data-driven methods in imaging system design.
with Tzofi Klinghoffer*, Siddharth Somasundaram*, Kushagra Tiwary*, Ramesh Raskar
Presented at ICCP 2022
[
Paper,
(ICCP 2022)]
#Perspective
#Computer Vision
Decentralized Neural Radiance Fields from Crowdsourced Images
Patent for a Software 2.0 system design at Optimus Ride (self-driving car company).
Inventors: Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Ashok Veeraraghavan, Ramesh Raskar
[Patent Pending (2024)]
#Patent
#Computer Vision
Efficient detection of structure and status of traffic lights
Patent for a Software 2.0 system design at Optimus Ride (self-driving car company).
Inventors: Kushagra Tiwary, Nuno Sucena Almeida
Neural Fields Beyond Conventional Cameras
Workshop on novel neural field architectures for unconventional imaging systems.
Organizers: Kushagra Tiwary, Zaid Tasneem, Akshat Dave, Ramesh Raskar
[
Website,
(ECCV 2024)]
#Workshop
#Computer Vision
Accelerating Discovery
Workshop at MIT Member's Week on AI systems for accelerating scientific discovery.
Organizers: Kushagra Tiwary, Tzofi Klinghoffer, Aaron Young, Ramesh Raskar
[(MIT Member's Week 2023)]
#Workshop
Artificial Cambrian Intelligence (ACI)
Open source code for evolving artificial visual systems.
with Aaron Young*, Kushagra Tiwary*
[
GitHub]
#Open Source
#AI For Discovery