We’re sharing Project Astra: our new project focused on building a future AI assistant that can be truly helpful in everyday life. 🤝
Watch it in action, with two parts - each was captured in a single take, in real time. ↓ #GoogleIO
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!
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!
The phenomenal teams from Google Research’s Brain and @DeepMind have made many of the seminal research advances that underpin modern AI, from Deep RL to Transformers. Now we’re joining forces as a single unit, Google DeepMind, which I’m thrilled to lead! https://t.co/n2cpn91AOl
The ConvNeXt paper is rightfully getting some attention: it's good work and has beautiful plots.
But, Fig1 needs a little correction IMO. They compare heavily aug/reg swin+convnext to plain ViT. We fixed this in https://t.co/Y09n8PfgNE which is what should always be compared to.
Nice paper with beautiful plots and catchy titles!
I was hopping it could compare EffNetV2 (ICML 2021, convs only) as well: https://t.co/YHWEb8pHmR
If EffNetV2 is included, the figure should look roughly like this:
@yieldthought@ak92501 Well, AutoML models are already ahead by a couple of months, but this paper choses to compare 2019 EffNetV1 instead of 2021 EffNetV2 . Here is a better comparison: