The computer science department welcomes two new faculty members. These new CS faculty are facilitating research and learning in natural … Continue reading Zhou Yu and Henry Yuen Join the Department
Six papers from CS researchers were accepted to the ACM-SIAM Symposium on Discrete Algorithms (SODA ’21). The conference focuses on … Continue reading Papers from the Theory Group Accepted to SODA ’21
A Columbia Engineering robot has learned to predict its partner robot’s future actions and goals based on just a few initial video frames. The study is part of a broader effort to endow robots with … Continue reading Robot Displays a Glimmer of Empathy to a Partner Robot
Professors Shuran Song, Steve Feiner, and Matei Ciocarlie are developing a novel platform to enable factory workers to work remotely.
Researchers from the Theory, Security & Privacy, and Machine Learning groups will present their papers at the 34th Conference on … Continue reading 13 Papers From the Department Accepted to NeurIPS 2020
Six papers from the Speech & NLP group were accepted to the Empirical Methods in Natural Language Processing (EMNLP) conference. Generating … Continue reading Natural Language Processing Papers Accepted to EMNLP 2020
Professor Tim Roughgarden received a Test of Time award for his paper, How Bad is Selfish Routing?, published in 2000 and … Continue reading Papers from the Theory Group Accepted to FOCS 2020
Open-source CRYLOGGER is the first tool that detects cryptographic misuses by running the Android app instead of analyzing its code.
Professor Kathy McKeown talks with DeepLearning.AI’s Andrew Ng about how she started in artificial intelligence (AI), her research projects, how her understanding of AI has changed through the decades, and AI career advice for learners … Continue reading Heroes of Natural Language Processing
Assistant professor Baishakhi Ray has won a VMware Early Career Faculty Award to develop machine learning tools that will improve … Continue reading Baishakhi Ray Named VMware Early Career Faculty Award Recipient
CS researchers develop a new machine learning approach that shows promise in predicting necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Moti Yung talks about his work on the Google Apple Exposure Notification API contact tracing project at the Responsible Data Summit.
The 37th International Conference on Machine Learning is an annual event taking place virtually this week. Professor David Blei is … Continue reading Machine Learning Papers Accepted to ICML 2020