Excited that this paper is finally published. I continue to believe that developers and researchers need more support to help prevent negative unintended uses of the code/data they release.

Continuous temporal prediction in CV still seems relatively understudied in my opinion compared discrete classification tasks, so excited to share this work led by Yuzhe Yang on periodic learning with applications in remote sensing and health.

Excited to share the call for participation from the RAIL initiative. There's work to be done towards developing best practices, tooling, governance, data licensing and more! licenses.ai/blog/2023/1/17… #ResponsibleAILicenses #RAIL #AI #ResponsibleAI

🚨Announcing CVPR 2023 workshop on Computer Vision for Physiological Measurement🚨 We hope to bring together the CV and health sensing communities, discuss the opportunities, challenges & latest advances for human health sensing with CV/ML. es.ele.tue.nl/cvpm23 #CVPR2025 #CVPR

Looking forward to giving the Grundfest Lecture Caltech tomorrow on Computational Imaging and applications in health sensing visual.ee.ucla.edu/web_series/

Today we published a paper that gives an overview of the evolution of licensing choices for #ML models published on Hugging Face. We found that over the last 5 months, the use of Responsible AI Licenses (RAIL) has grown from 0.5% to 7.1% of repositories with licensing metadata.

One month until the submission deadline for the CVPR'23 Workshop on Computer Vision for Physiological Measurement. If you work in the field of CV/ML and physiological measurement these are one of the best events to contribute to and attend: es.ele.tue.nl/cvpm23/

Responsible AI Pubs Licenses are built on a model for behavioral-use that aims to reduce the risk of negative outcomes and misuse of AI. These licenses are similar to licenses used by BigScience and over 6000+ related repositories for AI models and code. Community feedback is

At RAIL we have been working with Hugging Face, BigScience Research Workshop & AAAI to give practitioners more options for distributing code, models, data and apps. If you are submitting to AAAI consider an AI Pubs license. Danish Contractor, Julia K Haines, Brent Hecht, Carlos Muñoz Ferrandis

🌟Announcing the 1st PERception, Decision-making, and REAsoning through Multimodal Foundational Modeling (PerDream) Workshop #ICCV2025 ! Join us in fostering extensive research and vibrant discussions on this emerging topic. 🧵👇

This has been a really exciting week for #RAIL (licenses.ai) - First #Llama2 was released with a RAIL-like license with behavioral usage restrictions and now the AllenNLP (AI2) sets out their position on adopting OpenRAIL-DMs (lnkd.in/grwJ6r_3).

Introducing GRID: the General Robot Intelligence Development platform, designed for prototyping smart and safe robots rapidly using foundation models, LLMs, and simulation. Paper: arxiv.org/abs/2310.00887 Try now: portal.scaledfoundations.ai GitHub: github.com/scaledfoundati… 🧵👇(1/N)

There is a amazing potential for foundation models in robotics but data is a huge bottleneck. Combining simulation and LLMs to create models is a really exciting direction. Can't wait to see the impact of this.

Language models can increase access to, and the utility of, insights from health data. This work has been a big effort from a multidisciplinary team towards that end. Really please to be able to share our findings.

Great to be at #CVPR2025. Looking forward to the 7th (Seventh!) workshop on Computer Vision for Physiological Measurement this afternoon. es.ele.tue.nl/cvpm24/ Talks from @senguptroni and Dr. Jake Sunshine on inverse graphics for health and devices to detect cardiac emergencies.