Thanks for tuning in! 😊
If you enjoyed this thread, be sure to follow me @hamenwen for more content like this! And if you really liked it, please consider giving the first tweet a like, comment, and retweet! 💖
📢 Exciting news for all photo editing enthusiasts! Adobe Lightroom just added AI-powered denoise and support for content credentials. Check out the new features here: https://t.co/rC6oP9mWx2 #Adobe#Lightroom#AI#photography
🔍 The new tech preview of Content Credentials in Lightroom allows users to add attribution information and information about their edits as verifiable metadata to their photos. Learn more about this new feature here: https://t.co/rC6oP9mWx2 #photography#metadata
Thanks for tuning in! 😊 Be sure to follow me @hamenwen for more content like this! And if you really liked it, please consider giving the first tweet a like, comment, and retweet! 💖
🌎 Mediwhale focuses on South Korea as a testbed before launching its service in the U.S. Its primary targets are those who currently do not have cardiovascular disease but have the potential to develop CVD in the future, like diabetes and metabolic disease patients.
👋 Thanks for tuning in! Remember to follow me @hamenwen for more content like this, and if you enjoyed this thread, please give the first tweet a like, comment, and retweet! 💖
🚨 Exciting news! Australian startup Cortical Labs has raised $10 million for its Organoid Intelligence (OI) technology, which combines synthetic biology and human neurons to create biocomputers that could potentially be smarter and more energy efficient than current AI systems.
If you're interested, be sure to check out the paper and the generated videos on their website! Thanks for tuning in! 😊
Be sure to follow me @hamenwen for more content like this!
And if you really liked it, please consider giving the first tweet a like, comment, and retweet! 💖
👋 Hey everyone! Today we're diving into a new paper from the Toronto AI Lab on high-resolution video synthesis using Latent Diffusion Models. 🎥🤖 https://t.co/K9pJ0DuC5z
The Video LDM achieves state-of-the-art performance on generating driving videos of resolution 512 x 1024, and it can be easily leveraged for text-to-video generation. 🤯