I’m exploring how to automate real-world solutions using AR and VR technology. My journey started with a fascination for self-operating tech, leading me to learn programming and build various applications. With the rise of AI tools like ChatGPT, I began creating an AI-powered OS for AR/VR devices, focusing on challenges like adaptive UI for reducing eye strain and resource optimization. It’s a basic version, and I’m eager for feedback from those interested in AR/VR advancements! Check it out here: GitHub - R43A/Iris-AI-OS
You’ve said you want resource optimization, but also AI. Resource optimization involves processing with the fewest instructions possible while AI requires handling large amounts of data. You can’t really have both without some trade-offs. Modern event sensors for eye tracking give only necessary information to save power, which is a key challenge.
Thanks for the detailed feedback! Balancing AI processing power with resource efficiency is definitely one of the biggest challenges I’m facing. I know that AI needs a lot of data processing, which can drain power quickly in AR/VR. I’m looking into ways to make the system smarter and more efficient.
One approach is a low-power wake-up system where AI only activates when needed. For instance, a specific voice command could wake it up, saving battery life. I’m also considering local or edge AI processing for lighter tasks to minimize heavy data processing. For sensors like eye tracking, I want to limit data collection to what’s necessary, activating them only for certain tasks.
Lastly, I’m researching adaptive power modes, so the AI can adjust its power use based on the task. Simple tasks could run on low power, while more demanding ones could temporarily boost power. I’m excited for AGI next year and eager to see what we can achieve!
Thanks again for your advice! I’m open to any further insights.