Generating high-quality single photons for quantum computing
New dual-cavity design emits more single photons that can carry quantum information at room temperature.
New dual-cavity design emits more single photons that can carry quantum information at room temperature.
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
Analysis of genes altered by the disease could provide targets for new treatments.
Projects will develop new AI technologies that detect and prevent diseases.
CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.
Tiny robots powered by magnetic fields could help drug-delivery nanoparticles reach their targets.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.