Inroads to personalized AI trip planning
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
Read MoreForget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
Read MoreThe winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
Read MoreWith demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
Read MoreThe Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.
Read MoreSendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Read MoreWords like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
Read MoreWith support from the Stone Foundation, the center will advance cutting-edge research and inform policy.
Read MoreMAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
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