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Artificial Intelligence
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.
Amani Carter develops a new study on unmasking coded bias
The Class of 2022 law student works to identify biases and ‘stereotype threat’ in AI and help provide context for the conversation around mitigating those biases.
From ‘Indiana Jones’ to medieval robots
Historian of science Elly Truitt’s multidisciplinary investigations of the Middle Ages challenge assumptions about the period as a dark time in innovation and prompt a rethink of notions of ‘modern’ science.
Benjamin Shestakofsky finds interconnections between humans and machines
Drawing on field research, the assistant professor of sociology ,examines the specific real-world conditions under which software systems replace, complement, or create human labor.
In the News
The delusion at the center of the A.I. boom
Tess Wilkinson-Ryan of Penn Carey Law is skeptical about the utility of cheap AI for the kinds of contracting problems that pose the most serious threats to low-income parties.
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Can AI write your next résumé and cover letter?
In an Op-Ed, Joseph Barber of Career Services offers recommendations for how graduate students can leverage AI tools like ChatGPT to explore career options and pursue opportunities.
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Let’s cast a critical eye over business ideas from ChatGPT
In an Op-Ed, Christian Terwiesch of the Wharton School examines the pros and cons of AI-generated insights.
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What does ChatGPT mean for grammar, cyberbullying, and the future of language?
Chris Callison-Burch of the School of Engineering and Applied Science explains the processes by which AI chatbots learn and make mistakes.
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ChatGPT is everywhere
Ryan Baker of the Graduate School of Education is incorporating the judicious use of ChatGPT into his courses.
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How can humans detect AI writing? These Penn researchers have some tips
Chris Callison-Burch of the School of Engineering and Applied Science and colleagues share the results of a study which examined how humans can detect AI writing.
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