Famous math problems in machine learning and AI ?

Click For Summary
SUMMARY

The discussion centers on the lack of "famous" unsolved mathematical problems in machine learning and artificial intelligence (AI). Participants highlight that while AI research yields mathematical results, no crucial mathematical questions significantly impact practical AI applications. The conversation emphasizes the importance of pragmatic solutions over mathematically ideal ones in programming. Additionally, the challenge of understanding the algorithms used by the human brain in comparison to machine learning algorithms is noted, referencing a story about automated photo interpretation for military purposes.

PREREQUISITES
  • Understanding of machine learning algorithms and their applications
  • Familiarity with artificial intelligence concepts and methodologies
  • Knowledge of the historical context of AI development
  • Basic comprehension of programming principles in AI
NEXT STEPS
  • Research the implications of human cognitive algorithms on AI development
  • Explore the challenges of interpretability in machine learning models
  • Investigate historical AI projects, particularly in military applications
  • Learn about the significance of pragmatic solutions in software engineering
USEFUL FOR

Researchers, AI developers, and computer scientists interested in the intersection of mathematics and practical applications in machine learning and artificial intelligence.

Stephen Tashi
Science Advisor
Homework Helper
Education Advisor
Messages
7,864
Reaction score
1,605
"famous" math problems in machine learning and AI ?

Are there any "famous"(i.e. crucial) unsolved mathematical problems in the field of machine learning or the general study of artificial intelligence?

There is interest in programming computers to solve problems by artificial intelligence and there are certainly mathematical results published in such studies, but I can't think of any practical goal in AI that hinges on solving a crucial mathematical question.
 
Mathematics news on Phys.org
There are no "famous" ones - not that I can thing of.

In computer programming, it is commonly more important to have a pragmatic solution than an mathematically ideal solution.

It would, of course, be of great interest to determine exactly what algorithms the human brain uses for almost anything - since what a human does is often the success criteria for whether a robot is responding adequately.

With machine learning, there is a problem with trying to replace "design" with a broadly adaptive algorithm. The problem is that you don't really know what the computer is learning. There is actually a "famous" story that goes along with this problem described here:
https://neil.fraser.name/writing/tank/

I can't determine if the story is real or not. I first heard it in the late 1970's, so the "1980's" part is wrong. Also, I know that the DoD was contracting out for this specific type of automated photo-interpretation solution (that is, finding tanks in a forest) - so it's very credible.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 13 ·
Replies
13
Views
5K
  • · Replies 57 ·
2
Replies
57
Views
5K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
10
Views
5K