We released our report on SynthID-image, outlining what it takes to watermark over ten billion images generated with @GoogleDeepMind AI models and making this technology available to external partners. I really enjoyed writing this report – a thread:
https://t.co/65Z9e0A8AS
SynthID will now expand to 2️⃣ new modalities: text and video.
While this tool isn’t a silver bullet for identifying AI-generated content, it’s an important building block for helping millions of people understand the provenance of synthetic content. → https://t.co/CS0s9NaAfX
SynthID will now expand to 2️⃣ new modalities: text and video.
While this tool isn’t a silver bullet for identifying AI-generated content, it’s an important building block for helping millions of people understand the provenance of synthetic content. → https://t.co/CS0s9NaAfX
Gemini and I also got a chance to watch the @OpenAI live announcement of gpt4o, using Project Astra! Congrats to the OpenAI team, super impressive work!
It's such an honor to work on Project Astra with such an amazing team from across Gemini and Google DeepMind! While the #GoogleIO keynote was happening we had a last minute idea of watching the keynote with Project Astra. Check it out!
Student researcher position applications are open at Google Deepmind!
I'm hosting a SR in the intersection of bias and generative models. If you're an interested PhD student please reach out!
https://t.co/dKPbGByGEb…
We’re excited to launch 𝗦𝘆𝗻𝘁𝗵𝗜𝗗 today with @GoogleCloud: a digital tool to watermark and identify AI-generated images. 🖼️
It will be available on Imagen, one of @Google’s latest text-to-image models.
Here’s how it works. 🧵 https://t.co/p8s5XK5Ekr #GoogleCloudNext
As society becomes more digital, it’s critical to improve the code powering the world's computing.
Today in @Nature, we present AlphaDev, an AI system using reinforcement learning to discover enhanced computer science algorithms.
How does it work? 🧵 https://t.co/2ukGaPey5w
@tvaziri David Simon wrote a long blog post about the work that went into the remake of The Wire and the change in aspect ratio: https://t.co/64txomUsHQ
DeepMind is dedicated to bringing Safe, Reliable & Trustworthy AI to the real world. Consider applying and joining our amazing team.
https://t.co/WiTJ9RSqCR
https://t.co/vGr0gty07c
So happy to share #MedPaLM2 - our team's evolution of Med-PaLM. A new state of art for medical question-answering!
Med-PaLM 2 scores 86.5% on MedQA-USMLE, exceeding Med-PaLM's score by >19% 🤯, & 81.8% on PubMedQA...
More here: https://t.co/J83vdrpxFt
None of the models we tested achieved more than 62% accuracy on the worst case over the 3 hold-out obfuscations. How far can this be pushed, especially for smaller models?
How easy is it for adversaries to hide image content from classifiers through obfuscations? Our new benchmark allows you to evaluate this!
Dataset and evaluation code: https://t.co/kWKcqwFTMy
Paper: https://t.co/U1zXMy1Zng.
Joint work between @DeepMind, @Google & @GoogleAI 🧵
@DeepMind @Google@GoogleAI We hope this benchmark will add a new dimension to evaluating robustness and will help research on how to make models generalize better to obfuscations.
Excited to share the details of our work at @DeepMind on using reinforcement learning to help large-scale commercial cooling systems save energy and run more efficiently: https://t.co/i2M1cghANJ.
Here’s what we found 🧵
Our team tested a number of methods under a variety of distribution shifts. To learn the conclusions or test your own method, join the #ICLR2022 poster session today or the oral presentation on Wednesday.
Poster: https://t.co/pMYGAAjTHu
Oral: https://t.co/kdyiYtb0I4 1/