Machine learning engineering applies AI techniques to build scalable systems, driving innovation in data processing, automation, and predictive modeling.

Exascale computing enables processing at unprecedented speed and scale, advancing scientific research, AI, and complex problem-solving abilities.

Fish passage refers to the ability to effectively and efficiently allow fish to move through a water system, including successfully navigating human-made structures like dams and culverts, which can impede their journey.

Quantum information science studies quantum mechanics to advance computing, secure communication, and solve challenges beyond classical systems.

Cyber resilience emphasizes strategies to defend against cyber threats, ensuring reliable operations, data security, and recovery in critical systems.

Critical infrastructure protection safeguards essential systems like power, water, and transportation against threats, ensuring resilience and national security.

Computing testbeds offer experimental platforms for testing advanced technologies, driving innovation in computing performance and scalability.

Physics-informed machine learning integrates scientific laws with AI, improving predictions, modeling, and solutions for complex scientific challenges.

Deep reinforcement learning employs AI to solve complex problems by learning optimal strategies, revolutionizing autonomous systems and decision-making.