@zghahramani.bsky.social
Reposted
Want to check out the source for the "AlexNet" paper? Google has made the code from Krizhevsky, Sutskever and Hinton's seminal "ImageNet Classification with Deep Convolutional
Neural Networks" paper open source, in partnership with the Computer History Museum.
computerhistory.org/press-releas...
Neural Networks" paper open source, in partnership with the Computer History Museum.
computerhistory.org/press-releas...
March 20, 2025 at 9:02 PM
Want to check out the source for the "AlexNet" paper? Google has made the code from Krizhevsky, Sutskever and Hinton's seminal "ImageNet Classification with Deep Convolutional
Neural Networks" paper open source, in partnership with the Computer History Museum.
computerhistory.org/press-releas...
Neural Networks" paper open source, in partnership with the Computer History Museum.
computerhistory.org/press-releas...
I'm excited about our new breakthrough capabilities in AI for robotics with Gemini Robotics, from Google DeepMind. blog.google/feed/gemini-...
Gemini Robotics and Gemini Robotics-ER are two new Gemini models designed for robotics.
Google DeepMind is announcing two new models, based on Gemini 2.0, that are designed for robotics.Gemini Robotics is our most advanced vision-language-action model, whic…
blog.google
March 12, 2025 at 10:08 PM
I'm excited about our new breakthrough capabilities in AI for robotics with Gemini Robotics, from Google DeepMind. blog.google/feed/gemini-...
Reposted
Reposted
We’ve been thrilled by the positive reception to Gemini 2.0 Flash Thinking we discussed in December.
Today we’re sharing an experimental update w/improved performance on math, science, and multimodal reasoning benchmarks 📈:
• AIME: 73.3%
• GPQA: 74.2%
• MMMU: 75.4%
Today we’re sharing an experimental update w/improved performance on math, science, and multimodal reasoning benchmarks 📈:
• AIME: 73.3%
• GPQA: 74.2%
• MMMU: 75.4%
January 22, 2025 at 12:31 AM
We’ve been thrilled by the positive reception to Gemini 2.0 Flash Thinking we discussed in December.
Today we’re sharing an experimental update w/improved performance on math, science, and multimodal reasoning benchmarks 📈:
• AIME: 73.3%
• GPQA: 74.2%
• MMMU: 75.4%
Today we’re sharing an experimental update w/improved performance on math, science, and multimodal reasoning benchmarks 📈:
• AIME: 73.3%
• GPQA: 74.2%
• MMMU: 75.4%