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Racing to the future
A small racecar in a makeshift track in Penn Engineering with student spectators.

“Understanding the human factors and ethical implications of autonomous systems is just as crucial as the technical components,” says Mangharam. “This holistic approach aims to produce well-rounded engineers capable of addressing the multifaceted challenges of autonomous vehicle technology. Our goal is to equip them with the tools and mindset to tackle the challenges and opportunities of tomorrow.”

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Racing to the future

Rahul Mangharam’s scaled-down, self-driving race cars are revamping engineering education at Penn.
Artificial expectations? Time to get real about AI
Forbes

Artificial expectations? Time to get real about AI

Benjamin Lee of the School of Engineering and Applied Science says that the rate and depth of adoption for generative AI has been slower than many anticipated.

A first, physical system to learn nonlinear tasks without a traditional computer processor
Contrastive local learning network.

University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.

(Image: Erica Moser)

A first, physical system to learn nonlinear tasks without a traditional computer processor

Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable.
Recognizing a pioneer: Penn Engineering’s Grace Hopper
Grace Hopper in Naval gear introducing a computer system to a student.

Grace Hopper, then head of the Navy Programming Language Section of the Office of the Chief of Naval Operations, discusses a phase of her work with a staff member in August 1976.

(Image: U.S. Navy photo by PH2 David C. MacLean)

Recognizing a pioneer: Penn Engineering’s Grace Hopper

Hopper was honored for developing the A-0 compiler, an early innovation in computer programming.

From Penn Engineering Today

Unlocking the next generation of wireless communications
Gloved hand holding a quarter next to the filter to indicate its small size.

 The new filter, which is about the size of a quarter, could revolutionize wireless communications.

(Image: Courtesy of Penn Engineering)

Unlocking the next generation of wireless communications

Penn Engineers have developed an adjustable filter, about the size of a quarter, with potential to revolutionize wireless communications.

Ian Scheffler

Combining the skills of engineering and design

Janice Kim.

Janice Kim, a fourth-year student in the College of Arts & Sciences and the School of Engineering and Applied Science.

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Combining the skills of engineering and design


Janice Kim, a fourth-year student in the College of Arts & Sciences and the School of Engineering and Applied Science, will graduate as the first Penn student to have a dual degree in computer science and design.
AI Month roundup: From ethical algorithms to robots that learn
Photograph of Amy Gutmann Hall

Amy Gutmann Hall will open in 2024 and will be the home of the new B.S.E. in Artificial Intelligence for faculty and students.

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AI Month roundup: From ethical algorithms to robots that learn

During the month of April, Penn’s School of Engineering and Applied Science showcased a series of news items exploring the evolving world of artificial intelligence.

From Penn Engineering

Penn Electric Racing’s latest race car
A group of students is gathered around a Formula-style racecar at an event.

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Penn Electric Racing’s latest race car

Designed and produced by the School of Engineering and Applied Science’s student-run club, REV9 will compete in the annual Formula Society of Automotive Engineers Michigan race in June.