New Nearest Neighbor & Sorting approach

Click For Summary
Finding the nearest neighbor in datasets has traditionally been a complex task requiring data-specific coding. Recent research challenges the notion that there is no universal method for this problem, suggesting that a universal approach may exist. The discussion references a popular article from Quanta Magazine that outlines these findings, along with links to the full research papers, which are noted to be challenging reads. The researchers aim to demonstrate that a singular method could effectively sort complex information across various datasets, potentially simplifying a previously intricate process.
Tom.G
Science Advisor
Gold Member
Messages
5,661
Reaction score
4,506
Finding the Nearest Neighbor in a dataset has always been considered difficult, needing data-specific coding. Now some researchers, trying to prove there is no universal approach, say they have found one.

This first link is to the 'popular' article.
https://www.ilyaraz.org/static/papers/spectral_gap.pdf Oops and now I can't find it! (thanks @mfb for the heads-up)
Found it!
https://www.quantamagazine.org/universal-method-to-sort-complex-information-found-20180813/

These are the full papers, they are not an easy read.
https://www.ilyaraz.org/static/papers/spectral_gap.pdf
https://ilyaraz.org/static/papers/daher.pdf
 
Last edited:
  • Like
Likes mfb
Technology news on Phys.org
Your first link goes to the paper as well.
 
I tried a web search "the loss of programming ", and found an article saying that all aspects of writing, developing, and testing software programs will one day all be handled through artificial intelligence. One must wonder then, who is responsible. WHO is responsible for any problems, bugs, deficiencies, or whatever malfunctions which the programs make their users endure? Things may work wrong however the "wrong" happens. AI needs to fix the problems for the users. Any way to...

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 218 ·
8
Replies
218
Views
16K
Replies
29
Views
5K
Replies
10
Views
5K
  • · Replies 20 ·
Replies
20
Views
3K
  • · Replies 2 ·
Replies
2
Views
643
  • · Replies 0 ·
Replies
0
Views
389
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K