The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence.
Research
Spanning 15 colleges, the hub connects AI expertise with three cohorts made up of six domain specific pillars:
Applied AI
Health: Harnessing AI to decode disease and transform healthcare
Engineering and Sciences: Integrating AI into scientific discovery and next-generation technologies
Agriculture: Developing sustainable solutions for food and farming systems
Foundational AI
Foundations: Advancing core algorithms and theoretical underpinnings of AI
Responsible AI and Cybersecurity
Cybersecurity: Protecting data and infrastructure in an increasingly connected world
Trustworthy AI: Ensuring fairness, transparency, and reliability in AI systems
Through shared infrastructure, curated data, and cross-disciplinary collaboration, the AI(X) Hub is building an ecosystem that moves ideas from research to real-world impact—advancing solutions that benefit society and fuel economic growth.
The AI(X) Hub will equip researchers with advanced tools and expanded capabilities to drive innovation and accelerate discovery. Our goals are to:
- Be a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain.
- Build an intellectual hub where domain experts, AI faculty, programmers, engineers, and scholars converge to solve complex problems, spark high-impact innovation, and compete for large multidisciplinary projects.
- Create an interdisciplinary PhD Program in Artificial Intelligence.
- Build a scalable shared infrastructure in the form of a University-wide computing cluster and a smaller experimental computing cluster for the Hub.
- Develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets for rapid advances across all disciplines.
- Accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world.