Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
With batteries based on iron and air, Form Energy leverages MIT research to incorporate renewables into the grid.
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
An easy-to-use technique could assist everyone from economists to sports analysts.
The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.
Scientists quantify a previously overlooked driver of human-related mercury emissions.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
The MIT Student Research Program pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.
MITx MicroMasters credential leads learner to accelerated graduate program in data science.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
MIT researchers who share their data recognized at second annual awards celebration.
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?