Category: Algorithms
-
Using ideas from game theory to improve the reliability of language models
—
by
in Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Game theory, Human-computer interaction, Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, Research, Robotics, School of EngineeringImagine you and a friend are playing a game where your goal is to communicate secret messages to each other using only cryptic sentences. Your friend’s job is to guess the secret message behind your sentences. Sometimes, you give clues directly, and other times, your friend has to guess the message by asking yes-or-no questions…
-
Fostering research, careers, and community in materials science
—
by
in Abdul Latif Jameel World Education Lab (J-WEL), Algorithms, Alumni/ae, Classes and programs, Collaboration, Computer modeling, Computer science and technology, Data, Digital technology, DMSE, Education, teaching, academics, Learning, Mentoring, MIT.nano, nano, Office of Open Learning, Online learning, Programming, Research, School of Engineering, Special events and guest speakers, STEM education, Students, UndergraduateGabrielle Wood, a junior at Howard University majoring in chemical engineering, is on a mission to improve the sustainability and life cycles of natural resources and materials. Her work in the Materials Initiative for Comprehensive Research Opportunity (MICRO) program has given her hands-on experience with many different aspects of research, including MATLAB programming, experimental design,…
-
An AI dataset carves new paths to tornado detection
The return of spring in the Northern Hemisphere touches off tornado season. A tornado’s twisting funnel of dust and debris seems an unmistakable sight. But that sight can be obscured to radar, the tool of meteorologists. It’s hard to know exactly when a tornado has formed, or even why. A new dataset could hold answers.…
-
To build a better AI helper, start by modeling the irrational behavior of humans
—
by
in Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of EngineeringTo build AI systems that can collaborate effectively with humans, it helps to have a good model of human behavior to start with. But humans tend to behave suboptimally when making decisions. This irrationality, which is especially difficult to model, often boils down to computational constraints. A human can’t spend decades thinking about the ideal…