Penn Engineering AI

The First Ivy League Bachelor of Science in Engineering in Artificial Intelligence

[Penn Engineering @PennEngineers]

Ferrari CEO Benedetto Vigna joins Vijay Kumar in episode 12 of Penn Engineering’s Innovation & Impact podcast to discuss electric vehicles, innovation leadership and balancing new technologies with Ferrari’s legacy of performance and design.

[Penn Engineering AI @PennEngAI]

AI Month at Penn 2026 featured more than 20 @PennEngineers events exploring AI across robotics, medicine, research and entrepreneurship. Check out highlights from this year’s AI Month: https://t.co/Mxz99fxov6

[Penn Engineering @PennEngineers]

Ferrari CEO Benedetto Vigna joins Vijay Kumar on the Penn Engineering podcast to discuss his journey from physicist and semiconductor innovator to leading one of the world’s most iconic automotive brands.

The conversation explores Ferrari’s evolving approach to electrification, digital transformation and high-performance engineering, as well as the importance of pairing deep technical expertise with long-term vision.

https://t.co/R5SGAArY0Q

@PennEngAI

[Penn Engineering AI @PennEngAI]

In a recent conversation, @jamiecgrant (C’98, GEd’99), Senior Associate Director for @PennEngineers at @PennCareerJobs, discussed how students can use AI while continuing to build the judgment and foundational skills employers value. https://t.co/nRaeTlqPvz #AIandCareer

[Penn Engineering @PennEngineers]

U.S. @SenMcCormickPA visited @NSF AIRFoundry for a close look at how AI and automation are accelerating RNA science, and emphasized the importance of federal research support to help move ideas from the lab toward real-world impact.

“Every time I come to Penn for a visit,” said McCormick, “I just leave inspired by the incredible discoveries and progress.”

@PennEngAI

[Penn Engineering AI @PennEngAI]

Researchers at the University of Pennsylvania have developed ApexGO, an AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. https://t.co/4JdfpdD5D5 #AIResearch #PrecisionMedicine

[Penn Engineering AI @PennEngAI]

AI can help robots design their own tools using visual input. @PennEngineers researchers developed VLMgineer, an AI framework that enables robots to design, test and refine tools for real-world tasks. https://t.co/QJxFiLoh47 #AIandRobotics #EmbodiedAI

[Penn Engineering AI @PennEngAI]

Students used AI to generate design ideas, then built cardboard prototypes at @PennEngineers’ Studios at @vntrlab with Taylor Caputo (IPD’15). Part of an AI in Art course at @WeitzmanSchool exploring creativity, narrative and making. #AICreativity #AIandDesign

[Penn Engineering AI @PennEngAI]

Cloak, founded by Rishi Ambavanekar (M&T’29) and Tyler Sacharow (C’29), won the 2026 Venture Lab Startup Challenge for tackling AI scraping. Congratulations to the team. https://t.co/QKIfyn2JGl

[Penn Engineering @PennEngineers]

Penn Engineering’s @RajeevAlur and collaborators at @PennMedicine developed CAMEL, an AI model that can forecast dangerous cardiac rhythms before cardiac arrest occurs.

By analyzing continuous ECG data, the system identifies subtle warning signs 10 to 15 minutes in advance, helping move cardiac care toward earlier prediction and intervention.

@PennEngAI / @CIS_Penn

[Penn Engineering AI @PennEngAI]

AI is reshaping mathematical research. In @AmazonScience, @PennEngineers faculty and Amazon Scholars Michael Kearns and Aaron Roth describe how AI tools can generate formal proofs and accelerate discovery. Read more: https://t.co/8UmVRzqQGg #AIandMath

[Penn Engineering AI @PennEngAI]

@PennEngineers researchers developed “mollifier layers,” a new AI method to solve inverse PDEs and infer hidden dynamics in complex systems. Led by Prof. Vivek Shenoy (@MSEatPenn) with co-authors Vinayak Vinayak and Ananyae Kumar Bhartari. https://t.co/VNIq4Q0auC #AIMonthatPenn

[Rabdos_AI @Rabdos_AI]

Static math benchmarks saturate. We built one that doesn't.

Announcing MathDuels, the first self-play math benchmark.

Every frontier LLM writes problems for the others, and is graded on the ones written for it. As models improve, so does the benchmark.

[Penn Engineering AI @PennEngAI]

AI safety for robots requires more than chatbot guardrails. In @SciRobotics, researchers from @PennEngineers, @CarnegieMellon and @UniofOxford outline new frameworks for safe, real-world AI systems. https://t.co/XGzbFGyvCc #AIMonthatPenn #ResponsibleAI

[Penn Engineering AI @PennEngAI]

@LingjieLiu1 (@cis_penn, @PennEngineers) develops AI methods at the intersection of graphics, vision and 3D computing. Her work combines AI and physics to model how the world looks and behaves. https://t.co/2AUN3aapO5 #AIMonthatPenn #ComputerVision

[Penn Engineering AI @PennEngAI]

@tianfr1999, a @PennEngineers Ph.D. student in @cis_penn, has been named a 2026 @Apple Scholar in AI/ML. Tian, mentored by @vidal_rene, Rachleff University Professor in @ESEatPenn and Radiology, was selected from a highly competitive pool of nominees. https://t.co/StCYr2TgOv

[Penn Engineering @PennEngineers]

Innovation and policy leaders from the offices of @GovernorShapiro and @PADCEDnews visited Penn Engineering, touring @GRASPLab and the newly opened Artificial Intelligence-Driven RNA BioFoundry (@NSF AIRFoundry).

Discussions with Penn Engineering leadership focused on how robotics and AI research can drive real-world impact across the Commonwealth.

[Penn Engineering AI @PennEngAI]

@PennEngineers have developed SmartDJ, an AI-powered tool that lets users edit immersive audio using everyday language. The research was led by Prof. @mingmin_zhao (@cis_penn), with doctoral students Zitong Lan (@ESEatPenn) and Yiduo Hao (@cis_penn). https://t.co/mORR91j98Y

[Penn Engineering AI @PennEngAI]

Penn researchers earned $100,000 from the @LaudeInstitute’s Moonshots competition to use AI for drug discovery by extracting insights from scientific papers. https://t.co/FdDNTFA1tU @YosephBarash, @delafuentelab, Jacob Gardner, @zgives, @yatskar, Andrew Zahrt

[Penn Engineering AI @PennEngAI]

@PennEngineers @cis_penn researchers used AI to analyze 400K+ Reddit posts, identifying patient-reported side effects of GLP-1 weight-loss and diabetes drugs not fully captured in clinical data. Study by @sharathguntuku, @LyleUngar and @sehgal_neil: https://t.co/MNNo5dU8cb