In recent years, Artificial General Intelligence (AGI) has demonstrated immense potential to revolutionize the field of scientific discovery. By harnessing the power of advanced AI algorithms, researchers are now able to explore complex systems, analyze massive datasets, and generate hypotheses in ways that were previously unimaginable. The AGI Conference 2026 brings together leading experts to explore how AI is reshaping the future of scientific exploration and accelerating breakthroughs across various domains.

Key discussion topics will include:

• AI in Drug Discovery: How AGI models are speeding up the identification of potential drug candidates, predicting molecular interactions, and revolutionizing personalized medicine.

• AI in Materials Science: The role of AGI in discovering novel materials with specific properties, helping to create innovations in fields like nanotechnology, renewable energy, and electronics.

• AI in Astrophysics and Space Exploration: Exploring how AGI can assist in the analysis of astronomical data, simulate complex space phenomena, and accelerate the search for extraterrestrial life.

• AI in Genomics and Biotechnology: How AGI is enabling faster analysis of genetic data, contributing to personalized medicine, gene editing technologies, and advancements in agriculture.

• AI-Enhanced Scientific Simulation and Modeling: The integration of AGI in simulating complex biological systems, climate models, and particle physics experiments to accelerate discovery in these fields.

This session will feature pioneering work that leverages AGI to tackle grand scientific challenges, enabling more efficient, precise, and scalable discoveries that could change the course of human progress. Attendees will gain insights into the future of scientific research, where AI and AGI are not just tools but active collaborators in advancing knowledge.

Join us at the AGI Conference 2026 to explore how AI is driving the next generation of scientific discovery and reshaping the boundaries of human understanding.