CSAIL’s Nick Roy helms Google’s delivery-drone project
Autonomy expert led MIT-heavy team in developing “self-flying planes”
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Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Continuing the legacy: Assistive technologies at MIT
MIT students learn new technologies while making meaningful contributions to people with disabilities.
An end to drug errors?
Mint Solutions tackles medication errors with scanning system that ensures patients get the right pills.
Classroom contest yields publishable results
Students’ designs for cellular-networking protocols help define the limits of protocol performance.
Want a happy worker? Let robots take control.
CSAIL study finds that human subjects prefer when robots give the orders.
East Campus welcomes new housemaster
Rob Miller, computer science professor, to serve in undergraduate residence.
CSAIL researchers among Tech Review’s annual list of top young innovators
Adib and Shah to be honored at EmTech@MIT conference next month
Visual control of big data
Data-visualization tool identifies sources of aberrant results and recomputes visualizations without them.
CSAIL team puts design in your hands
Fab By Example lets you quickly create thousands of custom designs for furniture, go-carts, and more.
Origami robot folds itself up, crawls away
Prototype made almost entirely of printable parts demonstrates crucial capabilities of reconfigurable robots.
Kellis to lead MIT team in new phase of GTEx project to elucidate basis of disease predisposition
NIH-sponsored work to characterize genetic variation in human tissues with roles in diabetes, heart disease, and cancer.
Extracting audio from visual information
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
Research team that includes CSAIL's Devadas receives major NSF award
Modular Approach to Cloud Security project aims to build cloud systems with multilayered security
Essays in English yield information about other languages
Grammatical habits in written English reveal linguistic features of non-native speakers’ languages.