Giving robots a better feel for object manipulation
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
3 Questions: Provost Martin Schmidt on building a new college
Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.
The future of agriculture is computerized
Machine learning can reveal optimal growing conditions to maximize taste and other features.
Machine learning moves popular data elements into a bucket of their own
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
3 Questions: What is linguistics?
MIT Professor David Pesetsky describes the science of language and how it sheds light on deep properties of the human mind.
New 3-D printing approach makes cell-scale lattice structures
System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Machine learning identifies links between world’s oceans
Maike Sonnewald adapts a method that identifies areas of the global ocean with similar physics, revealing global dynamical regimes.
Using machine learning for medical solutions
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
Ethics, computing, and AI: Perspectives from MIT
Faculty representing all five MIT schools offer views on the ethical and societal implications of new technologies.
Exercises in amazement: Discovering deep learning
A popular student-coordinated class draws a capacity crowd from across the MIT campus and beyond.
Using machine learning to improve subseasonal climate forecasting
Professor of biology Ernest Fraenkel and visiting scientist Judah Cohen win the Sub-Seasonal Climate Forecast Rodeo competition.