Olga Russakovsky's project is “Toward complete interpretability of computer vision models." Chi Jin's project is “Demystifying partial observability in reinforcement learning" and Bartolomeo Stellato's project is “Learning task-specific optimizers for real-time autonomous systems.” All three are CSML-affiliated faculty. Peter Ramadge, the director of CSML, received funds for his project “Using machine learning to model and analyze human language and communication." More details in the article.
On the CSML undergraduate certificate, Eugene Tang said the curriculum gave him a solid foundation to learn more complex topics. “The field of machine learning has been changing so rapidly. What was the state-of-the-art when I was in college is no longer the case. And with the certificate curriculum laying an excellent foundation, that's helped me quickly pick up the new stuff,” he said.
The US Research Software Engineer Association (US-RSE) is set to hold its first face-to-face workshop on April 26th and 27th. Held at Princeton University and sponsored by the Alfred P. Sloan Foundation, the US-RSE Community Building Workshop will bring together research software engineers from universities, industry, and research laboratories across the country, plus a few more from abroad, to chart a path forward for the swiftly expanding group.
After he graduated from Princeton, Stefan Keselj joined Google as a software engineer for the company’s Video Understanding in Google Search team. He worked at the search engine giant for two and a half years. “The goal of that team was to leverage video understanding technology to make better video features and to make video ranking better on Google Search,” said Keselj.
Eight new interdisciplinary research projects have won seed funding from Princeton University’s Schmidt DataX Fund, marking the third round of grants undertaken by the fund. The fund, supported through a major gift from the Schmidt Futures Foundation, provides grants to explore using artificial intelligence and machine learning to accelerate discovery.
The eight funded projects involve 13 faculty across seven departments and programs, from computer science to Near Eastern studies.
Professors Olga Russakovsky, Naomi Ehrich Leonard, Ryan Adams, Jaime Fernandez Fisac and Anirudha Majumdar are featured in the latest issue, which focuses on how robotics is spurring innovation and making inroads into our everyday lives.
On March 4th, DataX sponsored part one of a workshop on cloud computing with a focus on setting up an integrated development environment for local and cloud computing.Twenty people attended, both in person and via Zoom. Part two of the workshop will be on April 1st, which will show attendees on how to build virtual machines in Microsoft Azure and access these using PyCharm. Read more about the March 4th workshop and how to register for the next one.
For her CSML independent work project, Joyce Luo is working on a study that uses machine learning to model and analyze the opioid epidemic in the United States and then using that model to inform the optimization of a specific policy intervention. For the scope of this project, she is attempting to optimize the location of opioid treatment facilities that offer medication assisted treatment across the country.
Within her major, Tavarria Zeigler is focusing on political theory. She became interested in statistical analysis in the context of politics through POL 345: Introduction to Quantitative Social Science with Rocío Titiunik, professor of politics. She is now well on her way to fulfilling her CSML certificate requirements.
Princeton Data Science Club (PDS) encourages undergraduate and graduate students to participate in Climate Hack.AI, an international competition among 25 top universities in the United States, Canada and the United Kingdom.
The goal of the competition is to use machine learning methods to develop the best predictive algorithm to…