Essays about: "AI Implementation"

Showing result 1 - 5 of 155 essays containing the words AI Implementation.

  1. 1. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Jonathan Benitez; [2023]
    Keywords : microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

    Abstract : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. READ MORE

  3. 2. IMPACT OF AI ON DECISION MAKING: : AI REPUBLIC, A TELUS INTERNATIONAL CASE STUDY

    University essay from Högskolan i Gävle/Företagsekonomi

    Author : UMUTONI JANE HABIMANA MONIQUE; NAJLA'A AREEF FALAH ALSAWAEER; [2023]
    Keywords : Artificial intelligence; cognitive ability; deductive approach; data; process; technology; predictability; decision making; qualitative;

    Abstract : Abstract The purpose of this master thesis is to conduct a Qualitative analysis on the impact of artificial intelligence (AI) on Telus International, a leading provider of customer service and business process outsourcing solutions using the deductive approach to collect the data. Through interviews with key respondents at the company and a review of relevant literature, this study aims to understand the ways in which artificial intelligence is being used at Telus International in the decision making process and the effects it has on the organisation. READ MORE

  4. 3. Improving Co-existence of URLLC and Distributed AI using RL

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

    Author : Wei Shi; [2023]
    Keywords : 5G; URLLC; RL; HRL; Optimization; 5G; URLLC; RL; HRL; Optimering;

    Abstract : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. READ MORE

  5. 4. Precipitation Nowcasting using Deep Neural Networks

    University essay from KTH/Fysik

    Author : Valter Fallenius; [2022]
    Keywords : Deep Neura Networks; Artificial Intelligence; Meteorology; Precipitationa Nowcasting; Djupa neurala nätverk; artificiell intelligens; nederbördsprognoser; meteorologi;

    Abstract : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. READ MORE

  6. 5. Modelling Cyber Security of Networks as a Reinforcement Learning Problem using Graphs : An Application of Reinforcement Learning to the Meta Attack Language

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

    Author : Sandor Berglund; [2022]
    Keywords : Attack graphs; reinforcement learning; graph neural networks; Meta Attack Language; MAL; deepQ-learning DQN ; Attackgrafer; förstärningsinlärning; artificiella neuronnät; grafneuronnät; djup Qinlärning; Meta Attack Language; MAL;

    Abstract : ICT systems are part of the vital infrastructure in today’s society. These systems are under constant threat and efforts are continually being put forth by cyber security experts to protect them. By applying modern AI methods, can these efforts both be improved and alleviated of the cost of expert work. READ MORE