4/16
Artificial Intelligence
The hidden geometry of learning: Neural networks think alike
New research by Penn engineers illuminates the inner workings of neural networks, opening the possibility of developing hyper-efficient algorithms that could classify images in a fraction of the time.
How AI tools can help assess verbal eyewitness statements
Quattrone Center Academic Director Paul Heaton’s new paper explores how he and his co-authors trained a large language model to parse eyewitness confidence statements.
New chip opens door to AI computing at light speed
A new silicon-photonic (SiPh) chip design from the lab of Nader Engheta, alongside Firooz Aflatouni, uses light waves, the fastest possible means of communication, rather than electricity, to perform mathematical computations.
Going head-to-head with the new health care AI revolution
Penn LDI senior fellow and Wharton School researcher Hamsa Bastani is the co-director of the Wharton Healthcare Analytics Lab, a new data initiative focused on health care delivery systems.
Penn Engineering announces new degree in artificial intelligence
Engineering's new degree in AI will push the limits on its potential and prepare students to lead the use of this world-changing technology.
How common is common sense?
Researchers from Penn develop a framework for quantifying common sense, findings address a critical gap in how knowledge is understood.
New AI tool brings precision pathology for cancer into quicker, sharper focus
Researchers at Penn Medicine have developed an artificial intelligence tool to quickly analyze gene activities in medical images and provide single-cell insight into diseases in tissues and tissue microenvironments.
Harnessing ancient materials and AI for sustainable architecture
The Weitzman School’s Robotics Lab and master’s program combines robotics, artificial intelligence, and automated systems in manufacturing and architectural design in ways that are adaptable and sustainable.
AI and environmental challenges
The growth of artificial intelligence is impossible to ignore, but how does it intersect with climate and the environment? Law professor Cary Coglianese and engineering professor Benjamin Lee weigh in on the roles AI may play.
Penn scientists reflect on one year of ChatGPT
The Data Driven Discovery Initiative hosted an interdisciplinary panel discussion with Penn researchers in chemistry, neuroscience, psychology, and political science.
In the News
Can we stop AI hallucinations? And do we even want to?
Chris Callison-Burch of the School of Engineering and Applied Science says that auto-regressive generation can make it difficult for language learning models to perform fact-based or symbolic reasoning.
FULL STORY →
UPenn medical school names first vice dean of AI
Mary Ritchie has been named the vice dean of artificial intelligence and computing at the Perelman School of Medicine. Mitchell Schnall has been named the first senior vice president for data and technology solutions at the University of Pennsylvania Health System.
FULL STORY →
Business schools are now encouraging students to use AI as they race to prepare them for a new job market
Ethan Mollick of the Wharton School is teaching his students to use and understand the capabilities of generative AI.
FULL STORY →
Wharton created a free series for entrepreneurs to learn about gen AI
A free virtual discussion series from the Wharton School offers a space for the business community to learn about developments with generative AI, featuring remarks from Mary Purk.
FULL STORY →
Penn researchers develop AI-based tool to help police, legal professionals gauge dependability of eyewitness statements
Paul Heaton of Penn Carey Law and colleagues have developed an AI-based tool to help prosecutors and legal professionals determine the accuracy of eyewitness suspect identifications.
FULL STORY →
Five questions for Ethan Mollick
Ethan Mollick of the Wharton School discusses the unpredictability of the current AI development ecosystem, why AI’s “apocalyptic” capabilities are overrated, and the need for government to set clear regulatory guidelines around AI.
FULL STORY →