Essays about: "memory learning"
Showing result 1 - 5 of 570 essays containing the words memory learning.
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1. Optical Communication using Nanowires and Molecular Memory Systems
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikAbstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE
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2. Develop A Predictive Model & Analyze The Impact On Common Memory Usage In A 5G Radio Unit
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : .... READ MORE
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3. Collaborative Learning in an Immersive Virtual Environment: The Effects of Context and Retrieval Practice
University essay from Lunds universitet/Institutionen för psykologiAbstract : The accessibility of Virtual Reality (VR) enables the investigation of desirable difficulties originating from memory research with increased ecological validity. The two desirable difficulties include contextual variation and retrieval practice. READ MORE
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4. Exploring serial positioning effects in Claeson-Dahl's Test for verbal learning and retention – a naturalistic study
University essay from Lunds universitet/Institutionen för psykologiAbstract : Serial positioning effects and the derived recency ratio has shown increasing promise as clinical tools for evaluating neurocognitive disorders. These measures have remained unexplored in Claeson-Dahl’s Test for verbal learning and retention (CDT). READ MORE
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5. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE