3Q: Setting academic parameters for the MIT Schwarzman College of Computing
Working Group on Curricula and Degrees co-chairs discuss their progress toward establishing credentials and courses for the college.
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.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Maike Sonnewald adapts a method that identifies areas of the global ocean with similar physics, revealing global dynamical regimes.