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Mar 05, 2025

NVIDIA Deep Learning Institute Collaborates with Dartmouth to Build New Generative AI Teaching Kit

The kit came from a collaboration between Dartmouth Engineering Professor Sam Raymond and the NVIDIA Deep Learning Institute (DLI), and enables educators to provide students access to cutting-edge tools, frameworks, and practical exercises.

Daily Galaxy

Could Saturn’s Icy Moon Be More Alien Than We Imagined?

Professor Colin Meyer is featured in an article about his research into how geysers are formed on Enceladus, Saturn's icy moon. "The Cassini spacecraft flew through one of Enceladus's plumes and measured organics, a possible sign of life, making these geysers unique and important to astrobiology," Meyer said.

Feb 26, 2025

Bloomberg

Former OpenAI CTO Murati Unveils Plans for New AI Startup

A profile piece on former OpenAI Chief Technology Officer and Dartmouth Engineering alum Mira Murati Th'12 as she launches a new artificial intelligence startup, Thinking Machines Lab.

Feb 18, 2025

CBS Sunday Morning

America's "Explainer-in-chief"

Senior Lecturer David Macaulay was interviewed while visiting DC's National Building Museum and showed CBS correspondent Martha Teichner how sketching can help you see things like Ledyard Bridge in a new way.

Feb 16, 2025

The Wall Street Journal

Hims Super Bowl Ad Spotlights Weight-Loss Drug Copycats as Clock Ticks on Their Business

Professor Geoffrey Parker is quoted in an article about a telehealth company pushing the boundaries of drug compounding and testing regulators' limits. "Once you have a large customer base, you essentially have a large voter base on your side, and they can demand regulatory change," said Parker.

Feb 10, 2025

Research Quick Takes

Navid Rashedi

Early Detection of Internal Bleeding

PhD student Navid Rashedi (pictured), Professor Ethan MurphyAlexandra Hamlin '16 Th'17 Th'19, research associate Victor Borza, and Professors Jonathan Elliott, Ryan Halter, and Vikrant Vaze are co-authors of: "Detection of occult hemorrhage using multivariate non-invasive technologies" published in Physiological Measurement. "This work investigated machine learning to combine multiple technologies—electrical impedance and near infrared spectroscopy—to better detect internal bleeds in a porcine study. Internal bleeds are often not detectable until it's too late. This approach appears to detect them earlier and more accurately," said Murphy. 

Liquid metal printing

Thin Film Transistors

PhD students Samuel Ong, Simon Agnew, and Md Saifur Rahman, and Professor Will Scheideler co-authored "Sub-nm kinetically controlled liquid metal printing of ternary antimony indium oxide transistors" published in Matter. "Our study shows how to harness the kinetics of liquid metal oxidation to control the thickness at the single-nm scale for synthesizing 2D transparent semiconducting films with finely tuned electrostatics for thin film transistors. These ultrathin metal oxides could enable flexible electronics capable of withstanding extreme bending stress and deformation," said Scheideler.

miniaturized low-power, high-voltage step-up ratio capacitive load driver

IEEE Predoctoral Achievement Award

PhD candidate Yanqiao Li, advised by Professor Jason Stauth, received the 2024–25 IEEE Solid State Circuits Society (SSCS) Predoctoral Achievement Award, their highest honor for PhD students, at the IEEE International Solid-State Circuits Conference (ISSCC) in San Francisco. The award recognizes Li's research on "miniaturized low-power, high-voltage step-up ratio capacitive load drivers" which enable microrobots to be fully autonomous and energy-efficient for medical, consumer, and industrial automation, as well as for haptics, printing, and ultrasound applications.

Schematic depicting topics of active research in fabrication, design, and applications of 3D printed electrodes.

Design & Fabrication for Energy & Sensing

Professor Will Scheideler is co-author of "Recent Advances in 3D Printed Electrodes – Bridging the Nano to Mesoscale" published in Advanced Science. The review covers applications in energy and sensing, including emerging fabrication methods. "We report on strategies for transforming polymers into 3D architected metals and ceramics, and how the use of machine learning and artificial intelligence is changing the design of 3D-printed materials," said Scheideler.