Part 5/13:
Huang dives deep into what Nvidia calls agentic AI—comprehensive, adaptable, task-specific agents that can perform complex tasks across sectors. These AI agents are engineered as domain-specific experts capable of ingesting intricate data—from scientific literature to real-time environment monitoring—and acting autonomously.
He outlined several practical applications:
Research Assistant agents for analyzing academic papers and generating interactive learning content.
Weather and climate models that downscale forecasts with incredible accuracy using advanced diffusion and regression models.
Software security agents tirelessly scanning codebases for vulnerabilities.
Pharmaceutical AI agents that rapidly screen billions of compounds to find promising drugs.