Using machine learning to identify undiagnosable cancers
A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
PhD student Pablo Leon uses machine learning to expedite research on novel battery materials, while helping newer students navigate graduate school.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Engineers 3D print materials with networks of sensors directly incorporated.
The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
Graduate student Jana Saadi works on making the product design process more creative and inclusive.
Hailing from a small town in Italy, Matteo Bucci is determined to address some of the unknowns plaguing fundamental science.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.