5/18
Artificial Intelligence
Cary Coglianese on regulating machine learning
The Edward B. Shils Professor of Law and Professor of Political Science analyzes the Biden administration’s recent actions concerning the federal government’s use of artificial intelligence.
Lithography-free photonic chip offers speed and accuracy for AI
Penn engineers have created a novel photonic device that provides programmable on-chip information processing without lithography, offering the speed, accuracy, and flexibility for AI applications.
Major players block China’s access to advanced chip materials for developing AI
Japan and the Netherlands join the U.S. and Taiwan in restricting exports to China of advanced artificial intelligence and chip-making technologies.
More cancers may be treated with drugs than previously believed
Using a Penn-designed neural network called PocketMiner, a Penn Medicine research team has identified hidden protein pockets that can provide new opportunities for cancer drugs to bind to.
Real or fake text? We can learn to spot the difference
Penn computer scientists prove that people can be trained to tell the difference between AI-generated and human-written text. Their new paper debuts the results of the largest-ever human study on AI detection.
The hidden costs of AI: Impending energy and resource strain
AI models like ChatGPT have seen notable improvements, but some people are concerned about the societal impacts these new technologies may bring. Deep Jariwala and Benjamin C. Lee discuss energy and resource problems with AI computing.
Wharton/Engineering conference showcases advances in data science
The 4th annual Women in Data Science @ Penn conference featured an array of impressive industry, academic, and student speakers, each of whom possesses unique insights into the study and application of data science.
Through the lens: A digital depiction of dyslexia
Artist-in-residence and visiting scholar Rebecca Kamen has blended AI and art to produce animated illustrations representing how a dyslexic brain interprets information.
Rethinking the computer chip in the age of AI
A team of researchers from the School of Engineering and Applied Science has introduced a computing architecture ideal for AI using an approach known as compute-in-memory.
Undergraduates help songbird research project take flight
Through the PURM internship program, Julia Youngman and Eric Tao had the opportunity to work in neuroethologist Marc Schmidt’s lab studying the neural basis of courtship behaviors in songbirds.
In the News
Ethan Mollick on the four rules of Co-Intelligence with AI
In a Q&A, Ethan Mollick of the Wharton School discusses his transition from entrepreneurship to academia, the most important concepts that need to be taught to entrepreneurs, and the four rules of Co-Intelligence with AI.
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Embracing AI in our lives
In his new book, “Co-intelligence: Living and Working with AI,” Ethan Mollick of the Wharton School says that people should learn to work with AI as a tool to be more creative, more capable, and even more human.
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Meta now has an AI chatbot. Experts say get ready for more AI-powered social media
Ethan Mollick of the Wharton School says that social media apps are investing in AI to become “stickier” for consumers, keeping users on their platforms for as long as possible.
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New Penn AI master’s program aims to prep students for ‘jobs that we can’t yet imagine’
Chris Callison-Burch of the School of Engineering and Applied Science discusses Penn’s new online master’s program in artificial intelligence.
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The University of Pennsylvania is the first Ivy to offer an AI master’s
The School of Engineering and Applied Science has announced its first master’s degree in artificial intelligence, led by Chris Callison-Burch.
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Penn Engineering rolls out an online master’s degree in AI, first in Ivy League
The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.
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