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Daniel McDuff @danmcduff

AI Researcher - Google, RAIL Co-Founder, Microsoft, WIRED Fellow, Cambridge Uni., MIT Media Lab, Affectiva.

Joined March 2011
  • Tweets 353
  • Following 395
  • Followers 1,372
7 Photos and videos
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
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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.
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The @ResponsibleAIL License Generator (licenses.ai/rail-license-gen…) is now live. If you have an #AI/#ML project consider using it to generate a license with customized use clauses to prevent harms.

RAIL License Generator — Responsible AI Licenses (RAIL)

Since the introduction of the first RAIL Licenses in 2018, there are now over 40,000 model repositories with RAIL licenses. The RAIL License Generator is a tool to aid the creation of RAIL licenses....

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

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Particular credit for the license generator goes to Tim Korjakow, Jesse Benjamin, Scott Cambo, @danish_c.
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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.
Google AI
@GoogleAI
12 Jun 2024
Today on the blog, read about the latest from our two new research papers on how AI, particularly fine-tuned Gemini models, can create personalized health experiences that cater to individuals’ unique health journeys. →goo.gle/3RnwHbl #AI #healthcare #personalizedhealth
To evaluate Personal Health LLM (introduced in our first paper), we curate three benchmark datasets that span long-form coaching recommendation tasks, assessments of expert domain knowledge, and prediction of self-reported sleep outcomes.

ALT To evaluate Personal Health LLM (introduced in our first paper), we curate three benchmark datasets that span long-form coaching recommendation tasks, assessments of expert domain knowledge, and prediction of self-reported sleep outcomes.
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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.
Sai Vemprala
@saihv
17 Oct 2023
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/scaledfoundations… 🧵👇(1/N)
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Sai Vemprala
@saihv
17 Oct 2023
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/scaledfoundations… 🧵👇(1/N)
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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).

Responsible AI Licenses (RAIL)

Responsible AI Licenses (RAIL) empower developers to restrict the use of their AI technology in order to prevent irresponsible and harmful applications. We provide both source code licenses as well...

licenses.ai
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Daniel McDuff retweeted
Shuang Ma@shuangma3
19 Jul 2023
🌟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. 🧵👇
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Paul Keller@paul_keller
8 Feb 2023
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.
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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
AAAI
@RealAAAI
7 Jul 2023
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
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Daniel McDuff retweeted
AAAI
@RealAAAI
7 Jul 2023
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
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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/
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Looking forward to giving the Grundfest Lecture @Caltech tomorrow on Computational Imaging and applications in health sensing visual.ee.ucla.edu/web_serie…

Warren Grundfest Lecture Series

Speaker: Daniel McDuff

visual.ee.ucla.edu
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Daniel McDuff retweeted
Yuzhe Yang
@yang_yuzhe
1 Feb 2023
🚨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 @CVPR #CVPR
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Daniel McDuff retweeted
Danish Contractor@danish_c
19 Jan 2023
Excited to share the call for participation from the @ResponsibleAIL initiative. There's work to be done towards developing best practices, tooling, governance, data licensing and more! licenses.ai/blog/2023/1/17/r… #ResponsibleAILicenses #RAIL #AI #ResponsibleAI

RAIL Initiative: Call for Participation — Responsible AI Licenses (RAIL)

We invite participation from the community to establish self-organized working groups to help move the discussion forward.

licenses.ai
RAIL@ResponsibleAIL
18 Jan 2023
Replying to @ResponsibleAIL
This has helped us identify several important directions to move this initiative forward, from tooling to legal work to public advocacy. We would love to have your input and work on these ideas together! Detail: licenses.ai/blog/2023/1/17/r…
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Continuous temporal prediction in CV still seems relatively understudied in my opinion compared discrete classification tasks, so excited to share this work led by @yang_yuzhe on periodic learning with applications in remote sensing and health.
Yuzhe Yang
@yang_yuzhe
7 Oct 2022
📢Check out our latest work on self-supervised learning of *periodic* information from data! We present SimPer, a simple SSL regime for learning periodic targets. w/ @xliucs, Jiang, Silviu, Dina, Ming, @danmcduff. Thanks @_akhaliq for sharing!
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