Viewing profile — orintorynchus
orintorynchus
HN member- Joined
- Tue, Jan 11, 2022, 4:10 PM UTC
- HN karma
- 118
- Public activity
- 12 items
- HN profile
- View on Hacker News ↗
About orintorynchus
No profile information was provided.
Recent public activity
-
comment
Comment #29896816
Not exactly "finding out", but rather estimating. It's all about prioritizing testing through detecting suspiciously "good" and unexpected outliers popping up.
-
comment
Comment #29896775
That's the key bit here. Supervised learning is not applicable here and any sort of fitting to known labels is doomed to fail. The system is not calibrated, tuned or parameterized.…
-
comment
Comment #29895120
The idea is to introduce a bit of sanity into the current world, to calm down overreactions to every new, scary looking variant. And on the flip side - to identify the truly scary …
-
comment
Comment #29895086
We are actively looking for motivated colleagues. Feel free to look at the page above or drop us an email at hello[at]instadeep.com. We are also happy to make new friends and work …
-
comment
Comment #29895024
The method, in its current incarnation, is detecting dangerous variants and not foreseeing them. We can use the same approach to forecast plausible developments, but there are so m…
-
comment
Comment #29894611
I am sure we will, in due time. If you have any particular hopes or wishes, we will try to accommodate as much as we can.
-
comment
Comment #29894517
This is something that amazes me. Any time a true High Risk Variant appears, it is clear as day in the system. This was the case with Lambda, Mu (which we predicted to have a limit…
-
comment
Comment #29894395
The system is constantly learning, so it "retunes" itself. We can infer epitopes from structure, but we found that data derived from known complexes is sufficient for our purpose. …
-
comment
Comment #29894267
What we hope for is rather informing the public policy. Now, any time a scary looking variant is sequenced, there is some public commotion, uncertainty about the future repercussio…
-
comment
Comment #29894208
Well, there is a lot of overlapping nomenclature. Here by variant we understand any sample, which is not identical sequence-wise to sequences seen before. Most of the observed muta…
-
comment
Comment #29893421
It is not random. InstaDeep has designed, developed, built, benchmarked the method. BioNTech performed experimental validation, provided expert insight into the problem domain. Hen…
-
comment
Comment #29893397
I am the second author of the paper. We have been putting our head on the line for the last half a year. We detected Lambda, Mu (with a caveat, that we did not consider it competit…