New Robotic Microfluidic Platform Brings AI to Lipid Nanoparticle Design

News / March 9, 2026

LIBRIS, an automated microfluidic platform, dramatically accelerates the formulation of lipid nanoparticles (LNPs), the delivery vehicles behind mRNA vaccines and gene therapies. By generating on the order of 1,000 distinct formulations per hour, the system could enable the large, systematic datasets needed to train predictive AI models.

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Powering AI From Space, at Scale

News / January 28, 2026

Penn Engineers have developed a new design for solar-powered orbital data centers that could realistically scale to meet the growing energy demands of AI. By using a tether-based architecture that passively orients itself toward the sun, the system avoids many of the limitations of other space-based data center concepts.

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Sophia Tang Wins CRA Outstanding Undergraduate Research Award

News / January 23, 2026

Sophia Tang, an undergraduate researcher at Penn Engineering, has received the CRA Outstanding Undergraduate Research Award for her pioneering work in generative AI for biology, advancing theoretical machine learning methods for therapeutic and biological design.

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Physics of Foam Strangely Resembles AI Training

News / January 14, 2026

Penn Engineers have discovered that foams — from soap suds to food emulsions — are not static, as long assumed, but instead continuously reorganize themselves in ways that mathematically resemble how modern AI systems learn.

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New Video Dataset to Advance AI for Health Care

News / December 16, 2025

Penn’s new Observer platform provides anonymized video, audio and clinical data from real medical encounters, giving researchers an unprecedented tool for studying how care happens and training AI medical systems.

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How Might AI Shape the Future of Work?

News / December 8, 2025

Konrad Kording, a computer scientist, and Ioana Marinescu, an economist, have developed an interactive model to generate meaningful predictions about how AI will affect wages, jobs and the overall economy.

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