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Data scientists Brain Arnold and Jose Garrido Torres, supported by the Schmidt DataX Initiative, are featured in a new series of videos talking about their role and impact in research with Princeton University scholars.
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.
Naomi Ehrich Leonard, the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering, has an article in the latest EQuad magazine that features her research on helping robots move safely and gracefully around humans while achieving desired goals.
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.