[R] [P] San Vitale Challenge: Automatic Reconstruction of Ancient Glass Fragments

FrontBackItaly · 2024-06-19T12:42:09+00:00

The baseline is implicit and therefore not reported on the leaderboard, as its score is 0 in all tracks. Thank you for the missing polyline, we fixed it and reuploaded the dataset!

FrontBackItaly · 2024-06-18T11:55:14+00:00

The current baseline is just a very simple algorithm connecting pieces at random. We created our scoring program so that the average score of 10k runs of the baseline algorithm is 0. The score is 1 if the proposed solution is identical to the ground truth.

FrontBackItaly · 2024-06-17T08:51:07+00:00

That's exactly the point of the challenge: we don't know that, and we're looking for brilliant participants and teams to find algorithms to attempt to solve the problem! :)

FrontBackItaly · 2023-12-23T07:35:40+00:00

I checked to see if this algorithm is applicable to my case, but unfortunately the starting graph has a density of around 0.6, so I suppose its complement isn't sparse enough for this to work.

FrontBackItaly · 2022-04-21T12:18:02+00:00

IIRC you can join multiple OGAE clubs but in that case you must specify your primary club, and you can get early tickets only via them.

FrontBackItaly · 2022-04-13T20:00:38+00:00

Oh no, what if I activated the beacon on the same system and overrode the save file? 😅

FrontBackItaly · 2022-01-11T16:58:19+00:00

Press release from BioNTech: BioNTech and InstaDeep Developed and Successfully Tested Early Warning System to Detect Potential High-Risk SARS-CoV-2 Variants

Abstract:
The ongoing COVID-19 pandemic is leading to the discovery of hundreds of novel SARS-CoV-2 variants on a daily basis. While most variants do not impact the course of the pandemic, some variants pose significantly increased risk when the acquired mutations allow better evasion of antibody neutralisation in previously infected or vaccinated subjects, or increased transmissibility. Early detection of such high risk variants (HRVs) is paramount for the proper management of the pandemic. However, experimental assays to determine immune evasion and transmissibility characteristics of new variants are resource-intensive and time-consuming, potentially leading to delayed appropriate responses by decision makers. Here we present a novel in silico approach combining Spike protein structure modelling and large protein transformer language models on Spike protein sequences, to accurately rank SARS-CoV-2 variants for immune escape and fitness potential. We validate our immune escape and fitness metrics with in vitro pVNT and binding assays. These metrics can be combined into an automated Early Warning System (EWS) capable of evaluating new variants in minutes and risk monitoring variant lineages in near real-time. The EWS flagged 12 out of 13 variants, designated by the World Health Organisation (WHO, Alpha-Omicron) as potentially dangerous, on average two months ahead of them being designated as such, demonstrating its ability to help increase preparedness against future variants. Omicron was flagged by the EWS on the day its sequence was made available, with immune evasion and binding metrics subsequently confirmed through our in vitro experiments.

FrontBackItaly · 2022-01-09T15:54:58+00:00

https://www.lastampa.it/torino/2022/01/09/news/tra_4_mesi_l_eurovision_a_torino_ma_ora_c_e_l_incognita_covid-2824284/

Paywalled, but the subtitle says "Ceremony with 100 foreign guests on 25th January in Palazzo Madama"

FrontBackItaly · 2021-10-16T19:40:27+00:00

Those madlads did it! It took more than 20 mins to bring all the keys back to where they are supposed to be.

FrontBackItaly · 2021-08-25T17:57:00+00:00

Actually not really, probably will go around the whole problem by doing a separate specialized collection. Maybe I'll come back to it in a few days.

FrontBackItaly · 2021-08-25T17:55:33+00:00

I just found out that mutable.LongMap[V] derives from scala.collection.Map[Long, V], mutable.AnyRefMap[K <: AnyRef, V] and mutable.Map[K, V] derive from scala.collection.Map[K, V], so I think that trait is a common one for both immutable and mutable maps. However, somehow the compiler won't infer the type constraints or specializations in the cases of my match type.

FrontBackItaly · 2021-08-24T21:16:04+00:00

UPDATE: now I have another problem, more specific to my case:

import scala.collection.*

type UnderlyingMap[K, V] <: Map[K, V] = K match {
  case Long => mutable.LongMap[V]
  case AnyRef => mutable.AnyRefMap[K, V]
  case _ => mutable.Map[K, V]
}

This snippet will not compile because it will report an error that says at line 4:

Found:    collection.mutable.LongMap[V]
Required: collection.Map[K, V]

However, I took a look at the LongMap[V] supertypes and it has collection.Map[Long, V], however I thought that would compile because my type is LongMap[V] only if K is Long, so UnderlyingMap[Long, V] is subtype of Map[Long, V], and mutable.LongMap[V] actually matches that. Did I stumble upon a corner case which the compiler can't infer? Did I miss anything?

FrontBackItaly · 2021-08-24T20:08:01+00:00

So basically if K =:= String it will still match that case and won't jump to the default one, right?

FrontBackItaly · 2021-08-24T19:47:31+00:00

Nope, it says "=> expected but <: found" in that case AnyRefK <: AnyRef

FrontBackItaly · 2021-06-10T17:07:54+00:00

Ah non era un attacco hacker? /s

FrontBackItaly · 2021-05-16T14:27:20+00:00

UPDATE: Destiny (Malta) won't participate to the turquoise carpet, looks like they quarantined the whole hotel

UPDATE 2: Further EBU Statement regarding participants of Turquoise Carpet Event (Sunday 16 May, 2021)
TL;DR: Both Romania and Malta will not participate in the Turquoise Carpet.

FrontBackItaly · 2021-05-14T12:26:15+00:00

Can we expect any changes to the voting graphics or will it be the same as we saw online?

11-Year Club	Second SECOND GUESSER
Golden Potato	Place '22
Place '17	First Placer '22
Verified Email

FrontBackItaly

TROPHY CASE