Sökning: "Edge AI"

Visar resultat 1 - 5 av 44 uppsatser innehållade orden Edge AI.

1. 1. Big Data i arkeologin : Möjligheter, risker och etiska reflektioner

   Master-uppsats, Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)

   Författare :Elin Borg; [2024]
   Nyckelord :Ai; Big Data; ChatGPT; Critical Data Studies; Digital arkeologi; Digital humaniora; End of Theory; Ethics; Paradigm shift;

   Sammanfattning : In this thesis I examine current and future uses of Big Data in archaeology. New technologies have enabled a range of data capture, data storage, and analyses. Digitization in our society has brought new ways of working for archaeologists and the increased amount of data affects how we can understand the world. LÄS MER

3. 2. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Mauro Campus; [2023-07-19]
   Nyckelord :Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

   Sammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER

4. 3. Distributed Artificial Intelligence Based on Edge Computing

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

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

   Sammanfattning : 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. LÄS MER

5. 4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER