To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Advancing technology for aquaculture
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
New major crosses disciplines to address climate change
Combining engineering, earth system science, and the social sciences, Course 1-12 prepares students to develop climate solutions.
New flight procedures to reduce noise from aircraft departing and arriving at Boston Logan Airport
The results of a six-year collaboration between MIT researchers, the FAA, and Massport will reduce aircraft noise in local communities while maintaining or improving fuel efficiency.
Four MIT faculty named 2023 AAAS Fellows
Engelward, Oliver, Rothman, and Vuletić are recognized for their efforts to advance science.
For more open and equitable public discussions on social media, try “meronymity”
A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.
Plant sensors could act as an early warning system for farmers
Sensors that detect plant signaling molecules can reveal when crops are experiencing too much light or heat, or attack from insects or microbes.
3 Questions: Enhancing last-mile logistics with machine learning
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
Women in STEM — A celebration of excellence and curiosity
An MIT Values event showcased three women's career journeys and how they are paving the way for the next generation.
A blueprint for making quantum computers easier to program
A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.