Bots that talk more like people
AI platform allows chatbots to draw on robust language database to better navigate human conversation.
Location detection when GPS doesn’t work
Theoretical study shows how to make wireless localization much more accurate.
Engineers design artificial synapse for “brain-on-a-chip” hardware
Design is major stepping stone toward portable artificial-intelligence devices.
From undisciplined to interdisciplinary
Math professor Philippe Rigollet, once a “not very disciplined” student, moves between computer science and statistics.
3Q: D. Fox Harrell on his video game for the #MeToo era
The computer scientist’s group has designed a game that gets players to reflect on sexual misconduct in the workplace.
Three EECS professors join leadership team
Saman Amarasinghe and Joel Voldman are named associate department heads; Nancy Lynch is associate department head for strategic directions, a new post.
New depth sensors could be sensitive enough for self-driving cars
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Unlocking marine mysteries with artificial intelligence
Students put their AI software for underwater vehicles to the test on the Charles River.
Computer systems predict objects’ responses to physical forces
Results may help explain how humans do the same thing.
Calculating the cost of tech-fueled discrimination
Math graduate student’s Data for Black Lives conference provides numbers behind the technologies that enable exclusion.
Four from MIT named 2017 Association for Computing Machinery Fellows
Professors Goldwasser, Lozano-Perez, Micali, and Sipser honored for "providing key knowledge" to computing.
Reading a neural network’s mind
Technique illuminates the inner workings of artificial-intelligence systems that process language.