๐Ÿง ๐Ÿš€ AMI/AGI Brain & World Ship Design Assistant ๐ŸŒŒ๐Ÿ”ฌ

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by awacke1 - opened
Owner

Welcome to an experimental challenge to use real world science research and scholarly papers to forms basis of specification and design of an AMI and World Ship which explores emerging methods in science, physics, mathematics, data driven frameworks and energy empowerment of frameworks and systems.

Our Journey today starts with a bit of research...

๐Ÿง ๐Ÿš€ AMI/AGI Brain & World Ship Design Assistant ๐ŸŒŒ๐Ÿ”ฌ

๐Ÿ“„๐Ÿ” AI Research in Video & Gaming Applications Summary

Paper Title Emoji Summary
"Did You Hear That?" Learning to Play Video Games from Audio Cues ๐ŸŽฎ๐Ÿ‘‚๐Ÿ”Šโžก๏ธ๐Ÿค– Learning from audio to enhance game AI.
A Survey of AI Text-to-Image and AI Text-to-Video Generators ๐Ÿ“๐Ÿ–ผ๏ธ๐ŸŽฅ๐Ÿค– Exploring AI's ability to create visuals from text.
General Video Game AI: Learning from Screen Capture ๐ŸŽฎ๐Ÿ–ฅ๏ธ๐Ÿ‘€๐Ÿค– Screen capture for diverse game learning.
Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction ๐Ÿ“ˆ๐ŸŽฅ๐Ÿ“Š๐Ÿค– Predicting YouTube content success with AI.
Large Language Models and Video Games: A Preliminary Scoping Review ๐ŸŽฎ๐Ÿ“–๐Ÿ”๐Ÿค– Investigating LLMs in game development and research.
A Comprehensive Review of Computer Vision in Sports ๐ŸŸ๏ธ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ๐Ÿค– Sports analysis through computer vision.
AI-Generated Content (AIGC) for Various Data Modalities: A Survey ๐Ÿ–ผ๏ธ๐ŸŽฅ๐Ÿ“๐Ÿค– Cross-modality content creation with AI.
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI โ™Ÿ๏ธ๐Ÿ•น๏ธ๐ŸŒ๐Ÿค– Game AI's impact beyond gaming.
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms ๐ŸŽฎ๐Ÿ”„๐Ÿ“๐Ÿค– Multi-track evaluation in game AI.
Detection of GAN-synthesized street videos ๐Ÿ™๏ธ๐ŸŽฅ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿค– Spotting AI-generated street videos.
AI-driven Mobile Apps: an Explorative Study ๐Ÿ“ฑ๐Ÿค–๐Ÿ” Exploring the AI app landscape.
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN ๐Ÿ–Œ๏ธ๐ŸŽจ๐Ÿค–๐Ÿ“š Creating abstract art with AI.
Learning-Based Video Game Development in MLP@UoM: An Overview ๐ŸŽฎ๐Ÿ“š๐Ÿค– Learning-focused game development insights.
Comparative Analysis of Deep-Fake Algorithms ๐Ÿง‘โ€๐ŸŽค๐ŸŽฅ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿค– Comparing deep-fake detection methods.
Generative AI for learning: Investigating the potential of synthetic learning videos ๐Ÿ“š๐ŸŽฅ๐Ÿค– Synthetic videos for education.
Extend the FFmpeg Framework to Analyze Media Content ๐ŸŽฅ๐Ÿ”๐Ÿค– Enhancing FFmpeg with AI for media analysis.
A Survey of Embodied AI: From Simulators to Research Tasks ๐Ÿค–๐ŸŒ๐Ÿ” Exploring embodied AI's simulators and tasks.
A Survey of Task-Based Machine Learning Content Extraction Services for VIDINT ๐ŸŽฅ๐Ÿ“Š๐Ÿค– Video content extraction with AI.
AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI ๐Ÿ–ผ๏ธ๐ŸŽฅ๐Ÿ“Š๐Ÿค– Benchmarking AI-generated video content.
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games ๐ŸŽฒ๐Ÿค–๐Ÿ” Reinforcement learning in tabletop games.

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