Essays about: "artificial selection"

Showing result 1 - 5 of 128 essays containing the words artificial selection.

1. 1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents

   University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Author : Signe Bennmarker; [2023]
   Keywords : User centered design; Recommender systems; Natural language processing; Conversational agent; User satisfaction;

   Abstract : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. READ MORE

3. 2. AI and the Future of IT Recruitment

   University essay from Lunds universitet/Institutionen för informatik

   Author : John Arvidsson; Ludvig Eslind; [2023]
   Keywords : Artificial Intelligence; Discrimination; Bias; Recruitment; IT.; Business and Economics;

   Abstract : The use of artificial intelligence tools is rapidly increasing. Companies are now looking to use AI for recruitment in order to try to ensure a more fair process. This thesis aims to answer the question “How do recruiters in the Swedish IT sector perceive the effectiveness of AI tools in mitigating bias within the recruitment process?”. READ MORE

4. 3. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Nico Pistor; [2023]
   Keywords : MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

   Abstract : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. READ MORE

5. 4. Distributed Artificial Intelligence Based on Edge Computing

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Rebecca Fagerström; Simon Neüman; [2023]
   Keywords : Internet of Things; IoT; Edge Computing; Distributed Intelligence; Artificial Intelligence; AI;

   Abstract : The future Internet is expected to be driven by the prevalence of the Internet of Things (IoT), where it is envisioned that anything can be connected. In the last decade, there has been a paradigm shift in IoT from centralized cloud computing to so-called edge computing in order to compute tasks closer to the source of data generation. READ MORE

6. 5. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

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

   Author : Love Marcus; [2023]
   Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE