Friday, February 21 2:35pm in TCL 202* *Please note location change for this week. Class of 2020 students Phoebe Huang, Yo Akiyama, and Emmie Hine will present their thesis proposals. Snacks will be served and colloquium credit is offered for attending. Continue reading »
Shikha Singh, assistant professor in computer science at Williams College, has been awarded a two-year, $155,000 grant from the National Science Foundation (NSF) to fund her research on verifying that computation outsourced to third-party service providers has been performed correctly. Her work in this area aims to increase understanding… Continue reading »
Friday, February 07 2:35pm in Wege Auditorium (TCL 123) Computer Science Faculty will present their current research and discuss student research opportunities. Receive colloquium credit for attending and enjoy light snacks! Summer Science Research students, faculty, and staff on the annual canoe trip. Continue reading »
Friday, January 10, 2020 2:35pm, Wege Auditorium (TCL 123) AI Research at OpenAI: Language Models and Unsupervised Learning Are you interested in working in ML or AI after Williams? In this talk, I will cover my path from Williams to AI research in the tech industry, a… Continue reading »
Computer Science Colloquium Friday, December 06, 2019 @ 2:35pm Wege Auditorium, TCL 123 “Combined Discriminative-Generative AI Techniques for Robust Scene Perception in Adversarial Environments” Despite the strengths of deep learning using convolutional neural networks (CNNs), they have several vulnerabilities, such as their opacity in understanding how its… Continue reading »
Thursday, 11/21 @ 8:00pm Wege Auditorium Reception to follow & Friday, 11/22 @ 2:35pm Wege Auditorium (TCL 123). Kathi Fisler ’91 survived her early attempts to learn computing through the patience and support of the Williams CS faculty. She headed to graduate school after… Continue reading »
Friday, November 15 @ 2:35pm TCL 123 (Wege Auditorium) Methodological Challenges in Computational Text Analysis Computational text analysis is a field that uses computational methods (primarily from natural language processing and machine learning) to answer research questions about large collections of text data (e.g. news articles, court… Continue reading »
The Association for Computing Machinery (ACM) has named it’s 2019 Distinguished Members from top universities, corporations and research institutions around the world. Williams Professor Andrea Danyluk was among those selected to be honored this year. Congratulations Prof. Danyluk! Read more here: https://awards.acm.org/distinguished-members Learn about Prof. Danyluk’s specific contributions here:… Continue reading »
Friday, November 1 2:35pm @ TCL 123 (Wege Auditorium) Personalized Behavior-Powered Systems I will present work that leverages user behavioral data to build personalized applications, which I call “behavior-powered systems”. I will present 3 projects from our group. 1) WebGazer uses interaction data made on any website to… Continue reading »
Main Social Nav