Essays about: "AI Implementering"

Showing result 1 - 5 of 40 essays containing the words AI Implementering.

  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. Artificial Intelligence-driven web development and agile project management using OpenAI API and GPT technology : A detailed report on technical integration and implementation of GPT models in CMS with API and agile web development for quality user-centered AI chat service experience

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Damjan Tosic; [2023]
    Keywords : ChatGPT; OpenAI API; WordPress; artificial intelligence; web development; user interface; chat service; agile project management; prompt engineering;

    Abstract : This graduation report explores the integration of Artificial Intelligence (AI) tools, specifically OpenAI's Generative Pre-trained Transformer (GPT) technology, into web development processes using WordPress (WP) for developing a AI-driven chat service. The focus of the project is on ImagineX AB, a private company that offers the educational service ChatGPT Utbildning aimed at teaching professionals to effectively utilize ChatGPT. READ MORE

  4. 3. Cyber Security Risks and Opportunities of Artificial Intelligence: A Qualitative Study : How AI would form the future of cyber security

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Martin Kirov; [2023]
    Keywords : AI; Cyber Security; qualitative research; semi-structured interviews; perceptions; risks; opportunities; ethical considerations; legal implications; responsible AI deployment.;

    Abstract : Cybercriminals' digital threats to security are increasing, and organisations seek smarter solutions to combat them. Many organisations are using artificial intelligence (AI) to protect their assets. READ MORE

  5. 4. The One Spider To Rule Them All : Web Scraping Simplified: Improving Analyst Productivity and Reducing Development Time with A Generalized Spider

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

    Author : Rikard Johansson; [2023]
    Keywords : Web scraping; Web crawlers; HTML; Scrapy; Optimization; Web data extraction; Webbskrapning; Webbsökrobotar; HTML; Scrapy; Optimering; Webbdataextraktion;

    Abstract : This thesis addresses the process of developing a generalized spider for web scraping, which can be applied to multiple sources, thereby reducing the time and cost involved in creating and maintaining individual spiders for each website or URL. The project aims to improve analyst productivity, reduce development time for developers, and ensure high-quality and accurate data extraction. READ MORE

  6. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE