Events

Dartmouth Community Lunch

Monday
11:30am - 2:00pm ET

Dartmouth Green

The President's Office invites all members of the Dartmouth community to join President Beilock for a cook-out on the Green.

Dartmouth Center for Social Impact Open House

Monday
3:00pm - 6:00pm ET

South Fairbanks 2nd Floor

Meet the DCSI staff and learn how you can get involved with social impact work.

Special Seminar: Perspectives on AI Risk or "How I learned to stop worrying and love AI"

William Regli, Professor of Computer Science, U Maryland at College Park

Thursday
12:00pm - 1:15pm ET

Spanos Auditorium/Online

A summary of personal views developed during a decade away from academia in various forms of public service.

MS Thesis Defense: Anisia Tiplea

Friday
3:30pm - 5:30pm ET

Rm B10, ECSC/Online

"Design and Validation of a Biomimetic Patterned Microfluidic Culture Platform for hiPSC-CM Maturation"

MS Thesis Defense: Katherine Bullion

Monday
9:30am - 10:30am ET

Rm B26, MacLean ESC/Online

"The implementation and miniaturization of a new current source into the consolidated layout of an electrical impedance tomography probe with a novel approach to electrode layout"

Jones Seminar: How Do Neural Networks Learn Features from Data?

Adit Radhakrishnan, Assistant Professor of Applied Mathematics, MIT

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

A unifying mechanism that characterizes feature learning across neural network architectures.

Fall Engineering Career Fair

Tuesday
11:00am - 3:00pm ET

ECSC

All Dartmouth students interested in career opportunities in engineering and tech are welcome to attend.

Jones Seminar: Quantum Computing with Sound

Andrew Cleland, Professor of Molecular Engineering, U Chicago

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

Advances pointing to the possibility of a phonon-based quantum computer, in which phonons allow inexpensive scaling to a large quantum computer.

Jones Seminar: Modern Developments in Error Correction

Ken Duffy, Professor of Electrical & Computer Engineering, Northeastern U.

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

An introduction to Guessing Random Additive Noise Decoding (GRAND), a class of error correction decoders suitable for any moderate redundancy code.