Essays about: "AI applications"

Showing result 11 - 15 of 182 essays containing the words AI applications.

1. 11. 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

3. 12. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication

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

   Author : Vincent Ringström1; Iley Alvarez Funcke; [2023]
   Keywords : Sound transcription; Sound translation; AI; Deep learning; Real-time; Language barrier; Concurrency; Ljud transkription; Ljud översättning; AI; Djupinlärning; Real-tid; Språkbarriär; Samtidighet;

   Abstract : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. READ MORE

4. 13. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

   University essay from Lunds universitet/Miljö- och energisystem

   Author : Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
   Keywords : Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

   Abstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE

5. 14. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

   Author : Axel Valentin Maza; [2023]
   Keywords : Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

   Abstract : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. READ MORE

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

   University essay from KTH/Mekatronik och inbyggda styrsystem

   Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE