The AI Policy Forum (AIPF) is an initiative of the MIT Schwarzman College of Computing to move the global conversation about the impact of artificial intelligence from principles to practical…
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Four early-career researchers shared their work on improving the social outcomes of artificial intelligence and machine learning at a research summit hosted by EECS Thriving Stars.
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
Advances in computing and artificial intelligence (AI) are changing our world at a rapid—and accelerating—pace. As we prepare for a future where AI and machine learning are deeply…
Presentations from some of MIT’s most inspiring students, researchers, and faculty. We’ll hear curated presentations on themselves and their research followed by live Q&A! To learn more please…