Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Topic
Electrical engineering and computer science (EECS)
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Smarter training of neural networks
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
School of Engineering first quarter 2019 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
New approach could accelerate efforts to catalog vast numbers of cells
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
A comprehensive map of how Alzheimer’s affects the brain
Analysis of genes altered by the disease could provide targets for new treatments.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
Once abroad is not enough
Students are increasingly embarking on multiple study abroad opportunities, finding that one experience opens the door to others.
Better email automation
CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.
3Q: Assessing MIT’s computing infrastructure needs
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.
Nanoparticles take a fantastic, magnetic voyage
Tiny robots powered by magnetic fields could help drug-delivery nanoparticles reach their targets.
Improving security as artificial intelligence moves to smartphones
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Dylan Cable wins 2019 Hertz Fellowship
Award funds graduate studies to advance groundbreaking applied science.
3Q: Setting academic parameters for the MIT Schwarzman College of Computing
Working Group on Curricula and Degrees co-chairs discuss their progress toward establishing credentials and courses for the college.
Vivienne Sze wins Edgerton Faculty Award
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field.