Sökning: "state-of-the-art"
Visar resultat 1 - 5 av 1520 uppsatser innehållade ordet state-of-the-art.
1. Optical Communication using Nanowires and Molecular Memory Systems
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikSammanfattning : 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. LÄS MER
2. A Verified QBF Solver
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Quantified Boolean Formulas (QBFs) extend propositional logic with universal and existential quantification over Boolean variables. A QBF is satisfiable if and only if there is an assignment of Boolean values to the free variables that makes the formula true, and a QBF solver is a software tool determining if a given QBF is satisfiable. LÄS MER
3. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER
4. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). LÄS MER
5. Machine learning for molecular property prediction and drug safety
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER