Climate change has led to an increase in extreme weather events over the past few decades. As a result, there’s a growing need for visualization systems that can help scientists, emergency managers, and other concerned stakeholders to better prepare for potential catastrophic events. Since, of all these disasters, floods occur the most frequently (they account for 43% of natural disasters worldwide), predicting how they may impact a certain region has become vital to human survival.

Great art has, since time immemorial, strived to push boundaries, to question our views, our perspectives, and our understanding of reality. But the last two years have seen a drastic shift in the industry, as an increasing number of artists are using AI as their medium—for creating 2D images, synthesizing deep fake videos, and designing immersive experiences.

What if AI could predict how long you would live just by listening to your voice? Perhaps it could hear the tremor in your speech, and foresee that you may be weakening and approaching the end of your life. What might your doctor do with all this information?

Population estimates show that, by 2060, 23% of all U.S. residents will be aged 65 and older, while 4.7% will be 85 and older. The cost of meeting their healthcare needs has driven researchers and clinicians across private and public sectors to find ways to better assess the pace of aging in older adults.

Stephanie Dinkins, a Stony Brook Arts Professor and transmedia artist who works at the intersection of emerging technologies and social collaboration, was named an “Innovator” on this year’s TIME 100 AI list. Her name appeared alongside renowned industry leaders and stalwarts, including Sam Altman, CEO of OpenAI; Demis Hassabis, CEO and Co-Founder of Google DeepMind; Elon Musk, Founder of xAI; Geoffrey Hinton, Emeritus Professor at the University of Toronto; and former SBU Computer Science faculty member Yejin Choi.