learn-teach evaluation-research-and-policy 
ML @ CMU
JUNE 30, 2023
Empirical study: We evaluated three approaches for robots to navigate to objects in six visually diverse homes. Many learning-based approaches have been proposed in response to the lack of semantic understanding of the classical pipeline for spatial navigation. How well do different classes of methods work on a robot?
NOVEMBER 3, 2023
As a lecturer at the Princeton School of Public and International Affairs, where I teach econometrics and research methods, I spend a lot of time thinking about the intersection between data, education and social justice — and how generative AI will reshape the experience of gathering, analyzing and using data for change.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
DrivenData Labs
MARCH 30, 2023
Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K.
DrivenData Labs
MARCH 26, 2024
Results ¶ Through the challenge, a whole new community of solvers learned the tools they need to go forth and use cool satellite imagery! Maintaining and improving quality of life around the world requires bringing together innovators across disciplines and countries to find creative solutions.
NYU Center for Data Science
OCTOBER 12, 2023
The talk was hosted by the NYU Mind, Ethics, and Policy Program and facilitated by NYU Associate Professor of Environmental Studies Jeff Sebo. The talk opened with an overview given by Robert Long, one of the project’s leading co-authors and a Research Associate at the Center for AI Safety. But what exactly is meant by consciousness ?
NOVEMBER 28, 2023
While it might be easier to start looking at an individual machine learning (ML) model and the associated risks in isolation, it’s important to consider the details of the specific application of such a model and the corresponding use case as part of a complete AI system. What are the different levels of risk?
Heartbeat
MAY 30, 2023
Photo by Othmar Vigl on Pexels Introduction Generative Adversarial Networks (GANs) and Deep Reinforcement Learning (DRL) are two popular and continuously developing artificial intelligence subfields that have gotten a lot of interest and research in recent years. What are Generative Adversarial Networks (GANs)?
Expert insights. Personalized for you.
222 
Let's personalize your content