Essays about: "GAME ARTIFICIAL INTELLIGENCE"
Showing result 6 - 10 of 95 essays containing the words GAME ARTIFICIAL INTELLIGENCE.
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6. AI and real-time Strategy Games
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : As artificial intelligence continues to progress, applications hope to have AI perform tasks as good, if not better, than a human. A good way to test theoretical applications is through games, simple to complex. READ MORE
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7. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience
University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaperAbstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE
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8. Optimization Areas of the Minimax Algorithm : A study on a look-ahead AI as applied to the Fox game
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial intelligence has become more prevalent during the last few years, revolutionizing the field of computer game-playing. By incorporating artificial intelligence as a computerized opponent, games can become more engaging and challenging for human players. READ MORE
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9. Implementation of AI tools in 3D game art
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : AI in art saw a huge spike in popularity with text-to-image models like Midjourney and Stable Diffusion. The AI aids in creation of 2D art and is at times able to save massive amounts of time. Creation of 3D assets is an incredibly time consuming task but the field is currently lacking in research pertaining to artificial intelligence. READ MORE
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10. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE