AI Innovation Institute Brochure

Please click here to download a PDF of our AI Innovation Institute brochure. 

Stony Brook University

AI Innovation Institute

Stony Brook University's AI Innovation Institute (AI3) remains at the forefront of artificial intelligence research, advancing AI technology, education, and societal impact. The institute fosters a collaborative, interdisciplinary environment for groundbreaking research, offering comprehensive support and training across the university and the broader New York State community.

AI3 is structured into three key divisions:

  • Research Centers and Groups (RC): This division focuses on faculty-led research in AI/ML, exploring diverse, thematic areas with funding success and innovation at their core.
  • AI Services (AIS): AIS provides essential resources, tools, training, and consulting services to faculty and regional stakeholders, supporting AI/ML applications and collaborative research efforts.
  • Education and Equity (EE): EE explores AI's role in education and advocates for social justice by addressing biases and promoting equitable access to AI technology.

Educational Programs

  • MS in Data Science
  • PhD in Data Science
  • MS Concentration in Data Science and Engr.
  • MS in Engineering of AI
  • BS Specialization in AI and Data Science

Training Initiatives

  • 240+ students enrolled in AI courses, including the new AI specialization
  • 250+ undergraduate students enrolled in AI courses including the concentration program in data science and engineering
  • 70+ Ph.D. students working closely with AI faculty on collaborative and core research
  • 60+ core and affiliated faculty across departments
  • Alumni working at major AI companies, including Amazon, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI

Research Initiatives

  • AI in Neuroscience: Multiscale neural modeling through imaging and machine learning
  • AI in Cancer: Digital pathology for improved medical diagnosis and treatment
  • Trustworthy AI: Improving computer security and the interpretability of machine learning
  • AI in Energy and Sustainability: Renewable energy, grid optimization, zero carbon
  • AI in Precision Medicine: Designing targeted drug therapies
  • AI in Psychology: Modeling for improved learning, reasoning, and problem-solving capabilities

Research Highlights

More than $20 million in funding, including:

  • $4.2M DARPA grant: AI for real-world understanding
  • $4.3M NIH grant: Understanding the neurobiology for Alzheimer's disease with AI
  • $3.2M NIH grant: Improving fetal monitoring with artificial intelligence
  • $1.7M NSF grant: Developing technology universally applicable in diverse industrial fields requiring robotic manipulations
  • $1.5M NSF grant: Personalize caregiving robot assistants for people with ALS
  • NSF Major Research Instrumentation grant: To build AI Computing Infrastructure

Research Collaborations

Empire AI, SUNY Empire Innovation Program, SUNY Strive, SUNY-IBM AI Research Alliance, Brookhaven National Laboratory.

"These are exciting times for AI at Stony Brook University. Join us in AI research and education to tackle some of the biggest challenges of our time!" - Steven Skiena, Interim Director

Visit ai.stonybrook.edu