Artificial Intelligence

AI Photo

Stevens is All In on AI

Stevens Institute of Technology is exploring the leading frontiers of AI-powered technologies and applications that can help make our lives safer, healthier, more sustainable and more enjoyable.

The university integrates AI into teaching and research across all four schools and nearly all academic departments and programs.

Creating ‘Beneficial AI’ for Societal Good

The Stevens Institute for Artificial Intelligence (SIAI) is part of a comprehensive, university-wide effort to assemble talented interdisciplinary faculty leveraging the new tools of AI to address a wide range of global challenges.

illustration of artificial intelligence and computer technologies concept

Research: The Stevens Institute for Artificial Intelligence (SIAI)

More than 100 Stevens faculty, across all four of the university’s schools, collaborate via Stevens’ AI research center.

Portrait of Brendan Englot, director of Stevens Institute for Artificial Intelligence

Leadership: SIAI Director Brendan Englot

SIAI’s director is an expert in robotic (both on land and underwater) as well as the promise of AI-powered technologies.

tech pulse duck

Engagement: Ongoing Stevens TechPulse Survey on Americans and AI

SIAI’s work is informed by the university’s flagship series of AI surveys probing American’s attitudes toward AI.

“As AI and machine learning race ahead, it’s critical to understand both the positive applications and the dangers. At Stevens, we’re helping lead the way forward on both fronts.”
Brendan Englot, DirectorStevens Institute for Artificial Intelligence

Key Partners in AI

Stevens collaborates with a wide range of partners in industry, government and academic in AI research — including these:

  • Accenture

  • NASA

  • NOAA

  • NIH

  • NSF

  • Stanford

Louis Gomez, Stevens doctoral student

AI for Stroke, Diabetes Care: Ph.D. Student Louis Gomez

Doctoral candidate Louis Gomez works alongside award-winning Stevens computer scientist Samantha Kleinberg to develop AI-based systems that can monitor and predict blood-glucose levels of diabetic patients and assess the consciousness of stroke patients.

Research: By the Numbers

Faculty working in AI
$4.5 million
State & federal supercomputing grants
Top 25
Most Innovative Schools
U.S. News & World Report

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