srevster
Senior Member
- Joined
- Nov 10, 2020
- Messages
- 3,058
- Likes
- 5,675
@jai jaganath filtering algorithms are not AI. Removing noisy data is not AI. This is called data engineering and is part of MLOPS. AI is the outcome of the MLOPS process, not the process itself. The MLOPS process creates a model and this model is deployed on the edge for inference. What your dumbass is describing is AI training infrastructure, not inference models in a car.Nah retard
U are just rotating the things to just win the argument having no idea where the hell u are going
Anyways I have to entertain a retard now
Data preprocess will require AI implementation in future for higher efficacy of self driving vehicles
AI algorithms can identify missing or null values in datasets and employ strategies like imputation
AI techniques, such as filtering algorithms or outlier detection models, help identify and remove noisy data points that could skew analysis results or machine learning models
Feature engineering require AI algorithms while using techniques like dimensionality reduction or encoding categorical variables
AI utilizes natural language processing (NLP) or computer vision techniques to preprocess and extract relevant information for analysis that is text and image processing
Most importantly data augmentation
Sensor fusion will definitely require AI to be more efficient in future thus increasing its practicality in self driven cars
How the f**k u can compare elxsi with Chinese self driven cars
They literally running and testing those self driving cars where as we barely have concept regarding it
Coming to mapmyindia u really have no idea regarding the company and its capabilities
L3 self-driving vehicle tests hot up in China
More automakers are being allowed to test Level 3 vehicles in China, a sign of mass adoption of highly autonomous driving technologies in the world's largest vehicle market.www.chinadaily.com.cn
I don't want to name western companies as they are light years ahead appolo by baidu is far more advanced and detailed coz the market and data size baidu exercises is immense
Pls check mapmyindia app how bogus and cluttered it feels compared to Google maps
Again u have no learning except trolling Chinese
“AI techniques, such as filtering algorithms or outlier detection models, help identify and remove noisy data points that could skew analysis results or machine learning models”
Self driving cars have something called an operational design domain. If your dumbass is educated, you would know that operational design domain basically define the limited scenarios that car is certified to drive in. Where NLP plays a role on this is unknown. The weakness of NLP is the sequential nature of large language models. Chat GPT takes several seconds or even a minute to formulate a response. Logical reasoning or in this case spatial reasoning cannot rely on large language models in a real time environment and still meet the 10ms decision latency tolerance and 50ms reaction time tolerance.
“AI utilizes natural language processing (NLP) or computer vision techniques to preprocess and extract relevant information for analysis that is text and image processing
Most importantly data augmentation
Sensor fusion will definitely require AI to be more efficient in future thus increasing its practicality in self driven cars
