Improving security as artificial intelligence moves to smartphones
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
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.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.
Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.
Research projects show creative ways MIT students are connecting computing to other fields.