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The RISE Initiative inspired the theme of this year’s Sustainability Symposium: AI and Sustainability. Dr. Sara Beery of the Massachusetts Institute of Technology, whose work focuses on computer vision research for the environment, biodiversity, conservation, and sustainability, delivered the keynote address.
The UW–Madison Sustainability Symposium on 10/23 featured a keynote by Dr. Sara Beery on AI and sustainability.
The 2nd annual MadPrompts prompt battle was part of the Wisconsin Science Festival on October 16.
Pallavi Tiwari and her colleagues are using AI to identify sex-specific risks associated with a lethal form of brain cancer called glioblastoma.
Dr. Sara Beery, MIT, will speak on AI & Sustainability at the third annual UW–Madison Sustainability Symposium on October 23. Beery’s research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities.
The Open Source Program Office (OSPO) and the Data Science Institute (DSI) hosted a panel discussion on How Open Source is Fostering Innovation in AI during Innovate Week, Thursday, September 26, 2024. The presentations and panel discussion explored the transformative role of open source technologies in advancing the AI landscape.
Quintos is using reinforcement learning to glean new insights from microlending data, helping financial institutions optimize loan amounts and set fair interest rates.
“The data science certificate provides students with knowledge and skills in computer programming and data analysis, which supplement learning in a wide variety of subject areas across all of campus,” says Bret Larget, chair of the Department of Statistics and director of the Data Science Program.
Join the Statistics Department for the Julia Workshop for Statistics Research, Thursdays 12-1pm in MSC 1210, September 19 - October 24. The goal for this six-week workshop is to highlight the main features that make Julia an attractive option for data science programmers.
This Geospatial Data Science Seminar with Dr. Krzysztof Janowicz will report on conceptual lessons learned in designing and benchmarking autonomous, artificial GIS analysts, provide a brief overview of place representation paradigms studied over the past 20 years, and discuss the potential of neuro-symbolic (hybrid) AI to advance our field.