AI's Missing Primitive- The Behavioural Intelligence

This event, "AI's Missing Primitive - The Behavioural Intelligence," delves into a critical gap in current artificial intelligence models: the absence of human behaviour as a foundational computational primitive. While language has LLMs and vision has ViTs, there is no equivalent for understanding human actions, motivations, and temporal dynamics.

The session will explore why treating behaviour as merely a "feature" has limited AI's ability to truly understand users. Attendees will gain insights into what a 240-dimension Behavioural State Vector entails and how Causal Behavioural Graphs can address the retrieval problems faced by many AI products. The discussion will also candidly cover architectural limitations and ongoing open problems in this emerging field.

This workshop is designed for:

• AI/ML Researchers: Those working on causal inference, reinforcement learning, or foundation models.
• Behavioural Scientists & Computational Psychologists: Professionals exploring cognitive neuroscience.
• ML Engineers: Individuals building personalization systems and encountering performance ceilings.
• Academics: Professors and PhD candidates investigating modalities beyond language and vision.
• Deep Tech Investors: Evaluating foundational AI infrastructure for future investments.

The agenda includes introductions, a core presentation on behavioural intelligence, a structured debate to stress-test the concepts, an open Q&A session, and a discussion on future contributions and research tracks. The event is hosted by Suraj Biswas, Founder & CEO, and Saurav Gupta, Co-founder & CTO of Dots-In. Participants will receive an LBM architecture overview and, for qualified attendees, early access to the full technical white paper under NDA. This event offers a unique opportunity to engage with cutting-edge AI research and contribute to the development of a new paradigm in artificial intelligence.