Essays about: "AI"

Showing result 1 - 5 of 585 essays containing the word AI.

  1. 1. Ready Steady GO — How a Computer Playing a Board Game May Have Spurred on China’s AI Frenzy

    University essay from Göteborgs universitet/Institutionen för språk och litteraturer

    Author : Elias Sköld; [2021-06-08]
    Keywords : kinesiska; dataprogram; AlphaGo; brädspel; Go; artificiell intelligens;

    Abstract : Denna uppsats undersöker i vilken utsträckning AlphaGo, ett dataprogram som med hjälp avartificiell intelligens spelar brädspelet Go, har påverkat den kinesiska ledningens strategiska ochpolitiska beslut. Utöver att granska femårsplaner, årliga budgetar och andra officiella dokumentoch offentliga uttalanden, analyseras även AlphaGos inflytande på den kinesiskaförsvarsmakten. READ MORE

  2. 2. The Tower: Design of Distinct AI Personalities in Stealth-Based Games Modeling personalities with believable and consistent behaviour for NPCs in games using stealth gameplay style

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Marek Cernák; Lianoudakis Orestis; [2021-03-03]
    Keywords : stealth gameplay; games research; AI; NPC; autonomous agents; personality modeling; thesis;

    Abstract : Computer games using stealth situations for defining their gameplay often rely onmodeling an immersive, yet exploitable non-player character behaviour. Traditionally, the aim of the design of such a behaviour is to provide players with memorablebehaviour patterns of the in-game agents in order to facilitate the means of devisingstrategies used by players to finish the game levels. READ MORE

  3. 3. Explaining rifle shooting factors through multi-sensor body tracking : Using transformers and attention to mine actionable patterns from skeleton graphs

    University essay from Jönköping University/JTH, Avdelningen för datavetenskap; Jönköping University/JTH, Avdelningen för datavetenskap

    Author : Filip Andersson; Jonatan Flyckt; [2021]
    Keywords : Machine learning; Explainable AI; Transformers; Skeleton graphs; Rifle shooting;

    Abstract : There is a lack of data-driven training instructions for sports shooters, as instruction has commonly been based on subjective assessments. Many studies have correlated body posture and balance to shooting performance in rifle shooting tasks, but most of them have focused on single aspects of postural control. READ MORE

  4. 4. Evaluation of In-Silico Labeling for Live Cell Imaging

    University essay from Umeå universitet/Institutionen för fysik

    Author : Elsa Sörman Paulsson; [2021]
    Keywords : Deep learning; Machine Learning; Image analysis; CNN; cell; live cell imaging; supervised learning; AI; artificial intelligence; sartorius;

    Abstract : Today new drugs are tested on cell cultures in wells to minimize time, cost, andanimal testing. The cells are studied using microscopy in different ways and fluorescentprobes are used to study finer details than the light microscopy can observe.This is an invasive method, so instead of molecular analysis, imaging can be used. READ MORE

  5. 5. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE