Sökning: "versatile learning"

Visar resultat 6 - 10 av 41 uppsatser innehållade orden versatile learning.

1. 6. Teachers' Perspectives on the Use of Short Stories in the English Classroom : A qualitative study of English teachers' work with short stories in the multicultural classroom in Sweden

   Master-uppsats, Södertörns högskola/Institutionen för kultur och lärande

   Författare :Alexandra Afram; [2023]
   Nyckelord :Short Stories; Literature; Teaching Material; Curriculum; Motivation; Learning Skills; Language Skills; Culture; Multiculturalism; Interculturality;

   Sammanfattning : The purpose of this study aims to examine teachers' perspectives on the use of short stories in the English classroom at the upper secondary level in one municipality in Stockholm, Sweden. The study is a qualitative analysis of semi-structured interviews with 6 English teachers. LÄS MER

3. 7. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Kristoffer Westring; Linus Svensson; [2023]
   Nyckelord :FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Sammanfattning : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. LÄS MER

4. 8. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Alec Guerin; Christos Papadopoulos; [2023]
   Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

   Sammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER

5. 9. Machine Learning Algorithms for Quantum Systems

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Oskar Fallgren; Adam Fredriksson; [2023]
   Nyckelord :;

   Sammanfattning : The Schrödinger equation is a fundamental differential equation in quantum mechanics, and solving it for general potentials is difficult even using numerical methods. In recent years, machine learning has become a popular tool for finding solutions to partial differential equations in general, and the Schrödinger equation in particular. LÄS MER

7. 10. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics

   Master-uppsats, Luleå tekniska universitet/Rymdteknik

   Författare :Cristian David Echeverry Valencia; [2023]
   Nyckelord :Continual Learning; Progressive Neural Networks; mobile robotics; Computer Vision; Machine Learning; Semantic Segmentation;

   Sammanfattning : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. LÄS MER