Exploring the nature of intelligence
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
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Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.
New platform forces data center servers to only use data in ways that users explicitly approve.
Digital technologies, such as virtual reality, drive better outcomes for MIT students and global learners.
Members have made advances in molecular processes, rheology, computer networking, nanocrystalline metals, affective computing, and semiconductor tech.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Design reduces by 99 percent the data users need to join the network and verify transactions.
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.