11/15
Electrical and Computer Engineering
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.
AI security
As AI gets more adept at synthesizing information and producing humanlike responses, many are concerned that malicious actors may use this technology in dangerous ways. Ph.D. candidate Alex Robey safeguards AI systems against malicious tampering.
Making better decisions with AI
Kaustubh Sridhar, a doctoral student in Electrical and Systems Engineering, aims to improve autonomous agents in the real world with more accurate decision-making programming.
The Detkin Lab’s collaborative playground
At Penn Engineering’s Department of Electrical and Systems Engineering, the Peter Detkin Lab blends laboratory, classroom, and makerspace.
PRECISE Center is at the forefront of AI-assisted care in ophthalmology
The Penn Research in Embedded Computing and Integrated Systems Engineering, or PRECISE, Center is examining how AI can be deployed to enhance and expand clinical practice.
Challenges and advances in brain-computer interfaces
Following FDA approval for tech startups to begin human clinical trials for brain-computer interfacing technologies, Penn Today met with Anna Wexler of the Perelman School of Medicine to discuss the promising possibilities and potential pitfalls of neurotechnology.
On a different wavelength, Nader Engheta leads a community in light
2023 Franklin Medal winner Engheta is one of the world’s biggest names in wave physics. The Penn Engineering professor is renowned for his unique approach to science, combining technical brilliance, creativity, and care.
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.
Moore than meets the eye
Following the death of Gordon Moore, co-founder of Intel and a pioneer in computer processor chips, Penn Today spoke with the School of Engineering and Applied Science’s Benjamin C. Lee about Moore’s contributions to technology and the history and rapid evolution of chips.
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.
In the News
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.
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Global tech outage: South Jersey Boy Scout troop stuck overseas due to airline impact of outage
Benjamin Lee of the School of Engineering and Applied Science says there need to be contingency plans to cover ongoing vulnerabilities of critical computer infrastructure.
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Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’
Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.
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How the solar eclipse will affect solar panels and the grid
Benjamin Lee of the School of Engineering and Applied Science says that the electrical grid will have to figure out how to match supply and demand during brief windows where the energy source goes away.
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Students can soon major in AI at this Ivy League university—it’ll prepare them for ‘jobs that don’t yet exist’
The Raj and Neera Singh Program in Artificial Intelligence at Penn will be the first AI undergraduate engineering major at an Ivy League school, led by George Pappas of the School of Engineering and Applied Science.
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Penn to become first Ivy League to offer AI degree, looks to ‘train the leaders’ in emerging field
Penn is the first Ivy League university to offer a degree in artificial intelligence, with remarks from Robert Ghrist of the School of Engineering and Applied Science.
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