👉 Carlos Computing is an innovative approach to artificial intelligence and machine learning that emphasizes the development of intelligent systems through a human-centered, collaborative framework. It focuses on creating AI models that can learn from and adapt to complex, real-world environments by integrating human expertise, intuition, and feedback into the learning process. This method aims to bridge the gap between traditional AI, which often relies on large datasets and predefined rules, and more adaptive, context-aware systems. By leveraging human-AI collaboration, Carlos Computing seeks to build AI solutions that are not only technically advanced but also ethically aligned and more intuitive, making them easier for humans to understand and use effectively. This approach is particularly valuable in domains requiring nuanced decision-making, such as healthcare, finance, and autonomous systems, where human oversight and adaptability are crucial.
