Comments
AsuhoChinami t1_ixtqsmc wrote
What's that mean though
redpnd t1_ixtt63k wrote
GPT-3?
haueterc t1_ixryfcj wrote
Here's the blog post from google ai https://ai.googleblog.com/2022/11/multi-layered-mapping-of-brain-tissue.html
Martholomeow t1_ixtimz1 wrote
woah
Denpol88 t1_ixtp9af wrote
I think Google/Alphabet will surpass Apple in near future and become the wealthiest Company.
redpnd t1_ixttc37 wrote
I can see this happening if Apple continues to sleep on AI.
Shelfrock77 OP t1_ixvub9v wrote
They aren’t sleeping on AI, they are just more quiet and lowkey about it.
Depression_God t1_iy3l1k1 wrote
I don't see how they haven't already. Alphabet is much more valuable to the world. Everyone i know uses Google products/services every day, but only a few people i know use apple products. I see Google as a necessity and Apple as a luxury.
Denpol88 t1_iy3tbln wrote
I agree with you.
[deleted] t1_ixtkln4 wrote
[deleted]
ZoomedAndDoomed t1_ixtkppb wrote
The breakthrough in this article is the self-supervised machine learning technique, “SegCLR,” which stands for Segmentation-Guided Contrastive Learning of Representations.
This breakthrough is significant because it enables reliable annotation of cells even from very short fragments (~10-50 μm) of cortical cells.
This breakthrough works by producing embeddings: that are rich biological features in low dimensional space. The produced embeddings also have the quality of contrastive learning, which means vector distance maps to biological distinctness.
The article discusses how the self-supervised machine learning technique, “SegCLR,” can be used to enable reliable annotation of cells even from very short fragments (~10-50 μm) of cortical cells.