Advancing AI for Impact, from Forest Canopies to Speech Recognition
NNCI’s Summer Speaker Series welcomed Meta’s Madeline Hinkamp and Technion’s Yossi Keshet
Modern AI models enable smarter technology and broader impact. From decoding speech production and perception to mapping the planet’s forest canopies, researchers are using open-source AI models to tackle problems across emergency response, environmental science, public health, and scientific discovery.
More than 85 researchers, students, and practitioners attended two recent events exploring these themes, hosted by the Northwestern Network for Collaborative Intelligence (NNCI).
Through the Summer Speaker Series, NNCI welcomed the public to hear from leading voices in AI, data science, and technology as they share insights, experiences, and emerging trends shaping the future.
"The rapid progress we are seeing in AI is being driven not only by advances in algorithms, but also by the growing availability of models, data, and computational resources that enable innovation at scale,” said V.S. Subrahmanian, the Walter P. Murphy Professor of Computer Science at Northwestern Engineering, faculty fellow at the Northwestern Roberta Buffett Institute for Global Affairs, and director of the Northwestern Security and AI Lab. “These talks highlighted how open and collaborative research ecosystems can accelerate discovery across diverse domains."
Read the Northwestern Network for Collaborative Intelligence article.