Leading institutions such as Carnegie Mellon, University of Pennsylvania, and Rice University have introduced undergraduate and graduate degrees in artificial intelligence. These programs integrate core coursework in machine learning, computational algorithms, data analytics, and robotics with applied labs and interdisciplinary collaboration to equip students for emerging AI roles.

Key points

• Carnegie Mellon, University of Pennsylvania, and Rice University launch BS and MS degrees focused on AI, covering machine learning, data analytics, and robotics.
• Minor and concentration options in AI and machine learning become available at institutions like Texas A&M, Stanford, and Boston University.
• Graduate AI programs offer specialized tracks in computer vision, natural language processing, and generative AI at schools such as Northeastern University, Johns Hopkins, and USC.

Why it matters: Dedicated AI degrees address the growing need for specialized machine learning expertise, speeding up workforce readiness and driving innovation in AI applications.

At GTC 2025, Nvidia broadened its focus to quantum computing. CEO Jensen Huang unveiled plans for a cutting-edge Boston lab. D-Wave introduced a quantum blockchain framework, Infleqtion discussed contextual machine learning techniques, and SEEQC demonstrated a quantum-classical interface, promising practical applications in digital technologies.