3 Questions: Investigating a long-standing neutrino mystery
Graduate student Nicholas Kamp describes the MicroBooNE experiment and its implications for our understanding of fundamental particles.
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Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
3 Questions: Understanding the Haiti earthquakes
Assistant professors Camilla Cattania and William Frank discuss the science behind the 2010 and 2021 earthquakes in Haiti.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
MIT Sloan and Bayer team up to cultivate digital intrapreneurship capability
Corporate innovation leaders at Bayer engage MIT Sloan Executive Education in a transformational data science and intrapreneurship program.
For campus “porosity hunters,” climate resilience is the goal
With the MIT campus as a test bed, a citizen science effort provides lessons well beyond MIT.
Taylor Perron receives 2021 MacArthur Fellowship
In his research, the geomorphologist seeks connections among landscape evolution, biodiversity, and human history.
Study: Global cancer risk from burning organic matter comes from unregulated chemicals
The researchers hope scientists and regulators will consider a broader class of compounds in evaluating cancer risk due to PAH exposure.
Data flow’s decisive role on the global stage
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Novel approach reverses amblyopia in animals
By temporarily suspending retinal activity in the non-amblyopic eye of animal models, neuroscientists restrengthen the visual response in the "lazy" eye, even at ages after the critical period when patch therapy fails.
Research collaboration puts climate-resilient crops in sight
MIT professors Dave Des Marais and Caroline Uhler combine plant biology and machine learning to identify genetic roots of plant responses to environmental stress.
End-to-end supply chain transparency
Leonardo Bonanni MA ’03, SM ’05, PhD ’10 is founder and CEO of Sourcemap, an MIT Media Lab spinoff helping multinationals gain unprecedented insights into their supply chains.