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.
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.
Study shows that artificial neural networks can be used to drive brain activity.
Prizes from GM, the Patrick J. McGovern Foundation, Vodafone Americas Foundation, and others will be awarded to Solver teams selected from four Global Challenges.
Company announces $25 million, five-year collaboration.
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Working group discussions focus on how to design the MIT Schwarzman College of Computing to best serve the community and society.
Working Group on Curricula and Degrees co-chairs discuss their progress toward establishing credentials and courses for the college.
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field.
Co-chairs of the Organizational Structure working group discuss their goals and progress.
Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.
Machine learning can reveal optimal growing conditions to maximize taste and other features.