Drag-and-drop data analytics
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Transmedia Storytelling Initiative launches with $1.1 million gift
Program creates a new hub for pedagogy and research in time-based media.
Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Cracking open the black box of automated machine learning
Interactive tool lets users see and control how automated model searches work.
Empowering African farmers with data
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
3 Questions: Faculty appointments and the MIT Schwarzman College of Computing
Working group studies options for creating a new set of faculty hires for MIT’s new college.
MIT Policy Hackathon connects data-driven problem solvers
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.
Artificial intelligence shines light on the dark web
New tools can find patterns in vast online data to track and identify users on illicit forums.
Building a community for statistics and data science at MIT and beyond
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
Wireless movement-tracking system could collect health and behavioral data
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
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.
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.