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.
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.
A neural network can read scientific papers and render a plain-English summary.
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.
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
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.
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
MIT Professor David Pesetsky describes the science of language and how it sheds light on deep properties of the human mind.
System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.