Questions tagged [algorithm]
For questions about algorithm's that exhibit characteristics of intelligence, or are critical components in systems that exhibit intelligence, and problem-solving and goal-based algorithms in general.
132 questions
0votes
1answer
55views
Can self-balancing AI models be designed using fractal patterns and Taoist equilibrium principles?
I'm investigating an alternative AI decision-making framework that draws inspiration from Taoist philosophy, fractal intelligence, and adaptive feedback loops. Unlike traditional AI models that depend ...
user92640
1vote
1answer
25views
State machine path classification
I have complex state machine(hundreds of states). I have training sample of paths through the state machine. Each path is associated with integer number(tens of values) based on complex empirical ...
- 111
-1votes
1answer
35views
Are stream ciphers and block ciphers in counter mode suitable as PRNGs for machine learning?
Stream ciphers (Salsa20, ChaCha, etc) and block ciphers (AES, Twofish, RC6, etc) in counter mode can be used as PRNGs of very high quality compared to dedicated PRNGs. Is there any research on the use ...
- 377
2votes
1answer
803views
Has deep learning discovered new algorithms?
Has deep learning discovered any heretofore unknown algorithms? Goodfellow et al. give an example of learning XOR, and the Universal Approximation Theorem seems to imply that deep learning might be ...
- 505
1vote
0answers
83views
Is a evolutionary algorithm suitable as an alternative for this method?
I found this algorithm in a paper and want to use it, but when the number of sources are more then this approach will have a high computation time. If K_{^}= 10, ...
- 41
1vote
1answer
40views
Is the quality of generative model outputs affected by the quality of their PRNGs?
There are newer PRNGs like xoshiro/xoroshiro that have better quality than Mersenne Twister or WELL in a way that they pass statistical tests. Is the use of a better PRNG algorithm crucial to improve ...
user88306
0votes
1answer
49views
Creating a Dynamic Heat Map for Multi-Agent Path Planning
I’m working on a system where agents must move scattered objects (aggregates) from various locations (cells) to a target zone. The environment is divided into a grid of cells, where each cell contains ...
0votes
1answer
310views
What is the difference between Machine Learning model, algorithm and hypothesis?
I'm fairly new to Machine Learning field and still to grasp the basics, so this question may seem very stupid, but what is the difference between Machine Learning model, algorithm and hypothesis? Like ...
0votes
2answers
254views
How is speech recognition software able to distinguish between different speakers and yet still understand them all?
Some background: I'm an EE major and data science minor, so I have a basic understanding of machine learning - I had a one semester course on it where we covered some of the most commonly used ...
-3votes
2answers
145views
What programming language do I learn if I want to become artificial intelligence engineer? [closed]
I would become artificial intelligence engineer in the future, so I want to start programming but I don't know what programming language I start for that.
1vote
0answers
20views
Pedestrian/Object detection
Today automobiles have many kinds of detection systems and I'm currently researching one on Pedestrian Detection systems. I haven't figured exactly out the difference between these three systems. If ...
- 11
7votes
2answers
571views
Is there a term to denote AI algorithms that are not trained?
Before the advent of neural architectures, many AI domains (e.g. speech recognition and computer vision) used algorithms that consisted of a series of hand-crafted transformations for feature ...
- 206
-1votes
1answer
71views
Why use Deep Learning instead of algorithms for decision making in self-driving cars?
Let's say I want to build a self-driving car that uses cameras and ai to detect objects and driving lanes. So if the camera detects e.g. a car in front, it calculates the distance (using a sensor) and ...
- 99
0votes
0answers
164views
What is a good algorithm (and a heuristic) to find the shortest path in a puzzle game?
In a 3D world, there is a Robot, boxes, and switches. The robot's job is to carry boxes (one box at a time) and put them on top of switches to solve the level. All switches must have a box on top for ...
1vote
1answer
528views
How to determine if a decision tree is the (globally) optimal tree?
BACKGROUND: When constructing decision trees, the features are selected at various nodes based on whether it optimally splits the samples at that level (i.e., locally) using some user-chosen metric ...
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