Essays about: "Klassificering AI"

Showing result 1 - 5 of 22 essays containing the words Klassificering AI.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Khalid El Yaacoub; [2024]
   Keywords : Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE

3. 2. Few-Shot Learning for Quality Inspection

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Jesper Palmér; Ahmad Alsalehy; [2023]
   Keywords : Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

   Abstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE

4. 3. Quality Assuring an Image Data Pipeline with Transfer Learning : Using Computer Vision Methodologies

   University essay from Uppsala universitet/Avdelningen Vi3

   Author : David Wiberg; [2023]
   Keywords : Computer vision; Deep Learning; AI; Datorseende; IT; Kvalitetssäkra; neurala nätverk; AI;

   Abstract : The computer vision field has taken big steps forwards and the amount of models and datasets that are being released is increasing. A large number of contemporary models are the result of extensive training sessions on massive datasets, reflecting a significant investment of time and computational resources. READ MORE

5. 4. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Klara Larsson; Freja Ling; [2023]
   Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

   Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE

6. 5. Keeping tabs on GPT-SWE : Classifying toxic output from generative language models for Swedish text generation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isak Pettersson; [2022]
   Keywords : Active learning; Classification; Language models; Natural Language Processing; Swedish; Transformers; Toxic text; Aktiv inlärning; Klassificering; Språkmodeller; Språkteknologi; Svenska; Transformer nätverk; Toxisk text;

   Abstract : Disclaimer: This paper contains content that can be perceived as offensive or upsetting. Considerable progress has been made in Artificial intelligence (AI) and Natural language processing (NLP) in the last years. READ MORE