Observing and understanding the strange quirks of individuals and crowds What makes humans truly “human” - not perfectly logical machines, but complex beings whose decisions are shaped by psychology, social context, and evolutionary history? By understanding human quirks, we can design better systems that work with human nature rather than against it.
Developing capable multi-agent systems for complex reasoning and human-AI collaboration Single-agent AI systems have limitations in handling complex tasks that require diverse perspectives and specialized knowledge. Multi-agent architectures can enable more sophisticated reasoning, problem-solving, and collaboration capabilities.
Extracting meaningful insights from unstructured multi-modal content Most times, the challenge isn’t collecting information but extracting value from it. By developing systems that can analyze unstructured multi-modal content (text, images, video, audio), we can extract actionable insights.