Daniel McDuff

Attending @ICCVConference? The CVPM workshop has a stellar line up of speakers from #Apple, #MERL, #Google, #UIUC and also a presentation of the largest and most diverse video blood pressure dataset. Time⏰: Sunday 8am Location📷: Rm 328

Great to be at @CVPR. 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.

Particular credit for the license generator goes to Tim Korjakow, Jesse Benjamin, Scott Cambo, @danish_c.

See our ICML'24 position paper for more information: arxiv.org/abs/2402.05979

The @ResponsibleAIL License Generator (licenses.ai/rail-license-g…) is now live. If you have an #AI/#ML project consider using it to generate a license with customized use clauses to prevent harms.

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.

@Yahskapar devised a clever way to leverage motion augmentation (i.e., deepfakes) to improve the robustness of accessible non-contact vitals measurement. Still a way to go to make this robust for free-living scenarios, but I think this is a great step in the right direction.

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.

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)

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 @ai2_allennlp (AI2) sets out their position on adopting OpenRAIL-DMs (lnkd.in/grwJ6r_3).

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

Today we published a paper that gives an overview of the evolution of licensing choices for #ML models published on @huggingface. 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.

At @ResponsibleAIL we have been working with @huggingface, @BigscienceW & @RealAAAI to give practitioners more options for distributing code, models, data and apps. If you are submitting to @RealAAAI consider an AI Pubs license. @danish_c, @juliakhaines, @bhecht, @Carlos_MFerr

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 essential, and we are grateful to receive input. Please complete the survey on this page if you plan to use AI Pubs Licenses ➡️ licenses.ai/ai-licenses

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/

@bhecht Congratulations!

A quick break from your AI news to bring some news of natural intelligence: Mina Virginia Hecht was born on Monday! She and her mom (and her dad) are doing well, and her older sister is thrilled to have a new bff.

@AchutaKadambi @Caltech Thanks @AchutaKadambi for the invitation and yes, @UCLA! (wrote my original tweet in too much of a hurry - and couldn't edit.)

@danmcduff @Caltech Caltech & UCLA - both glad to host you 🤝

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