Nxt AI-2026

Nxt AI 2026, the Second International Conference on Next-Generation AI and Machine Learning, takes place from 2 to 4 November 2026 in Boston, Massachusetts, organised by CO-IN Symposia following a debut edition in San Francisco. The conference brings together academic and industry researchers to examine how intelligent systems are reshaping science, technology and society, with an emphasis on the convergence of foundation models, agentic AI and emerging computing paradigms. It combines keynote addresses, oral presentation sessions, panel discussions and networking across a three-day in-person schedule, with a virtual track also available for remote participants.

The call for contributions spans a broad topic list, including generative AI, large language models, deep learning, machine learning algorithms, neural network architectures, agentic AI, robotics and embodied intelligence, computer vision, natural language processing, autonomous systems, AI in medicine, explainable and trustworthy AI, AI ethics and governance, neuromorphic computing and sustainable AI. Announced keynote speakers include Stephen Grossberg (Boston University), Raymond Fu (Northeastern University), Jay Lee (University of Maryland), David Stork (Stanford University), Dan Roth (Oracle and University of Pennsylvania), Vipin Kumar (University of Minnesota), Björn Schuller (Technical University of Munich) and Xiong Hui (HKUST). Attendance operates on a paid-registration model with tiered student, academic and industry rates, and accepted contributions are presented as oral or poster sessions. For attendees the draw is a compact, broadly scoped AI conference in a major research city, suited to researchers and practitioners seeking to present work and network across both academic and corporate AI communities.