How artificial intelligence can help combat systemic racism
MLK Visiting Professor S. Craig Watkins looks beyond algorithm bias to an AI future where models more effectively deal with systemic inequality.
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When it comes to AI, can we ditch the datasets?
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
An “oracle” for predicting the evolution of gene regulation
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
Q&A: Climate Grand Challenges finalists on building equity and fairness into climate solutions
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
Unlocking new doors to artificial intelligence
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
A new resource for teaching responsible technology development
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
How to help humans understand robots
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
The benefits of peripheral vision for machines
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
Four from MIT named Meta Fellows for 2022
The honorees include four MIT graduate students in electrical engineering and computer science, economics, and media arts and sciences.
School of Engineering welcomes new faculty
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Using artificial intelligence to find anomalies hiding in massive datasets
A new machine-learning technique could pinpoint potential power grid failures or cascading traffic bottlenecks in real time.
Robotic cubes shapeshift in outer space
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
A security technique to fool would-be cyber attackers
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
Can machine-learning models overcome biased datasets?
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.