Upcoming Seminars
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Previous Seminars
Abstract: Despite their increasing sophistication, modern robotic systems still struggle to operate safely and reliably around people in uncertain open-world situations, a key bottleneck to adoption that is perhaps best exemplified by the growing public distrust of early autonomous driving technology. At the same time,…
Lunch available from 12:15pm.
Please RSVP to [email protected] by February 22nd to participate in lunch.
If you wish to participate via Zoom Webinar, we ask that you please register prior to attending.
RSVP to [email protected]
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
Abstract:
Machine learning designs approaches that transform data to predictions or estimations. The standard paradigm often assumes these data are objectively generated from distributions, without being affected by any human factors. However, this paradigm ceases to be true when our predictions or estimated…
This webinar is open to all via Zoom.
Dozens of policy proposals and interventions have attempted to address actual and potential cases of algorithmic bias, particularly in systems that have consequential effects on people’s lives. While these proposals commonly…
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience