Just to share a perspective. Doing business in Japan often requires a certain level of trust. Showing that you (the presenter) have something to count on is thus important.
For a deeper look into stablecoin mechanism and performance of them during May 2022 event, I would recommend [1] which I think is much more interesting for curious readers.
The model used by this research is T5 which is open sourced already. So I think once the dataset is released, we'll see the open version of pre-trained model very soon.
Actually no. Each layer requires output from previous one, which means sequentially computation. While wider layers can utilize GPU parallel computation better. This is kind of trade-off between less memory (less parameters) vs longer time.
Hayabusa-2 is the first of its kind successful mission. And it got congrats from Elon Musk too! [1]
Looking forward to new discoveries about early Solar System from the asteroid sample it brought back.
To me learning cause-and-effect is a non trivial process, when recognizing relationship often comes first and intrigues "formal" reasoning process afterwards (if any).
The more formal in the later process, the closer we reach to the real "knowledge". So your suggestion is quite practical, in the sense that we can start from that and figure out how to push the engine toward the more formal spectrum.
Thanks for your confirmation, and addition for a feature request (sorry for a bit late response).
So, it will be more practical that I rethink my requirements first. Will send you email if there is further question!
Hi, I'm looking for a graph-friendly DB that can sync well between many types of client (desktop, mobile) and server, similar to CouchDB/PouchDB.
I found [1] below that seems relating but no further discussion. Could you give some more information about that?
This and other gate level quantum softwares like Forest (Rigetti), Qiskit (IBM), Cirq (Google-not official) can be checked for more information in [1].