AGH lobby with students

Artificial Intellegence

Penn Engineering AI

The Raj and Neera Singh Program in Artificial Intelligence

Through the Raj and Neera Singh Program in Artificial Intelligence, Penn Engineering offers transformative undergraduate and master’s programs that blend technical rigor with ethical training, preparing future leaders to drive innovation and responsibly shape the evolving AI landscape.

View Undergraduate Curriculum

View Graduate Curriculum

Our Expert Faculty

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George J. Pappas

UPS Foundation Professor of Transportation in Electrical and Systems Engineering
Director of the Raj and Neera Singh B.S.E. in AI Program

Chris Callison-Burch

Professor in Computer and Information Science

Director of the Raj and Neera Singh M.S.E. in AI Online Program

Benjamin C. Lee

Professor in Computer and Information Science and in Electrical and Systems Engineering

AI Research at Penn Engineering

Lifesaving and More Cost-Effective Weather Predictions

Lifesaving and More Cost-Effective Weather Predictions

Paris Perdikaris, associate professor at Penn Engineering has developed Aurora, a foundation AI model that forecasts extreme weather and environmental events—faster and cheaper than traditional systems.

Meet Jean, Penn Engineering’s AI Tutor, Available 24/7

Meet Jean, Penn Engineering’s AI Tutor, Available 24/7

The chatbot is revolutionizing how students engage with coursework. Drawing on private course materials and discussion board data — resources commercial chatbots can’t access — Jean provides rapid, reliable answers.

How Penn is reimagining research in the age of artificial intelligence

How Penn is reimagining research in the age of artificial intelligence

The AI x Science Fellowship builds on IDEAS (Innovation in Data Engineering and Science) Center to support cross-disciplinary research across the University

Penn Engineers First to Train AI at Lightspeed

Penn Engineers First to Train AI at Lightspeed

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light — a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.

Evaluating Large Language Models for Cyberbullying Behavior

Evaluating Large Language Models for Cyberbullying Behavior

Ph.D. students in Penn’s Brachio Lab have been assessing the safety of machine learning systems for real-world uses like economic forecasting, cultural politeness, and legal reasoning.

Combining AI and Art-making for Youth Well-being

Combining AI and Art-making for Youth Well-being

Through a community-led partnership project, graduate student Eileen Feng and an interdisciplinary, cross-school team are working with local youth to tailor an AI-supported platform for healing through creative arts.

Lifesaving and More Cost-Effective Weather Predictions

Lifesaving and More Cost-Effective Weather Predictions

Paris Perdikaris, associate professor at Penn Engineering has developed Aurora, a foundation AI model that forecasts extreme weather and environmental events—faster and cheaper than traditional systems.

Meet Jean, Penn Engineering’s AI Tutor, Available 24/7

Meet Jean, Penn Engineering’s AI Tutor, Available 24/7

The chatbot is revolutionizing how students engage with coursework. Drawing on private course materials and discussion board data — resources commercial chatbots can’t access — Jean provides rapid, reliable answers.

How Penn is reimagining research in the age of artificial intelligence

How Penn is reimagining research in the age of artificial intelligence

The AI x Science Fellowship builds on IDEAS (Innovation in Data Engineering and Science) Center to support cross-disciplinary research across the University

Penn Engineers First to Train AI at Lightspeed

Penn Engineers First to Train AI at Lightspeed

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light — a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.

Evaluating Large Language Models for Cyberbullying Behavior

Evaluating Large Language Models for Cyberbullying Behavior

Ph.D. students in Penn’s Brachio Lab have been assessing the safety of machine learning systems for real-world uses like economic forecasting, cultural politeness, and legal reasoning.

Combining AI and Art-making for Youth Well-being

Combining AI and Art-making for Youth Well-being

Through a community-led partnership project, graduate student Eileen Feng and an interdisciplinary, cross-school team are working with local youth to tailor an AI-supported platform for healing through creative arts.

Centers + Institutes

Affiliated centers foster interdisciplinary AI research and collaboration across the university.

AI-Enabled Systems: Safe, Explainable and Trustworthy

The Warren Center

For Network & Data Sciences

Innovation in Data Engineering and Science

The PRECISE Center

Penn Research In Embedded Computing and Integrated Systems Engineering

Empowering Futures

Empowering Futures

How PRECISE Center’s Mentorship with Google is Transforming Academic Careers and Innovation

Zixuan Yi

A "Question-Driven" Approach to Improving AI and Machine Learning

The ASSET Center

The ASSET Center

Advances Trustworthy AI with Support from AWS

PRECISE Center

Unlocking Multi-Core Potential: Robert Gifford’s Breakthroughs in Real-Time System Safety

Innovation & Impact Podcast

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Episode 8

Microelectronics and Entrepreneurship with Kurt Petersen

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Episode 7

The Future of AI with Yann LeCun

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Episode 6

How Engineering and AI are Transforming Human Health

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