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October 10, 2023
"This is a significant step in bridging technology and healthcare," said Dr. Dennis Charney, Dean of Icahn Mount Sinai and Mount Sinai Health System's president for academic affairs.
February 7, 2023
New research from MIT automates the math for trading off risk and reward, in domains ranging from artificial intelligence to climate to finance, fixing errors made by deep learning systems.
November 18, 2022
The brains of the seemingly simple zebrafish are more sophisticated than previously thought, according to a new study. The researchers found larval zebrafish can use visual information to create three-dimensional maps of their physical surroundings.
April 26, 2022
MIT researchers discovered a new way to estimate the amount of information contained in a piece of data using probabilistic programming and probabilistic inference. The breakthrough entropy estimators open up new applications in medicine, scientific discovery, cognitive science, and artificial intelligence.
December 8, 2021
MIT researchers have used probabilistic programming and inverse graphics to develop a framework that enables computer vision systems to more accurately explain 3D scenes observed in 2D images.
December 8, 2021
Computer vision systems sometimes make inferences about a scene that fly in the face of common sense. For example, if a robot were processing a scene of a
May 12, 2021
New system cleans messy data tables automatically May 12, 2021MIT MIT researchers have created a new system that automatically cleans โdirty dataโ โย the typos, duplicates, missing values, misspellings, and inconsistencies dreaded by data analysts, data engineers, and data scientists. The system, called PClean, is the latest in a series of domain-specific probabilistic programming languages written by researchers at the Probabilistic Computing Project that aim to simplify and automate th...
May 11, 2021
According to surveys conducted by Anaconda and Figure Eight, data cleaning can take a quarter of a data scientists time. Automating the task is challenging because different datasets require different types of cleaning, and common-sense judgment calls about objects in the world are often needed (e.g., which of several cities called โBeverly Hillsโ someone lives in). PClean provides generic common-sense models for these kinds of judgment calls that can be customized to specific databases and...