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Automated system teaches users when to collaborate with an AI assistant

AI accelerates problem-solving in complex scenarios

A new optimization framework for robot motion planning

New method uses crowdsourced feedback to help train robots

Synthetic imagery sets new bar in AI training efficiency

Technique enables AI on edge devices to keep learning over time

This 3D printer can watch itself fabricate objects

Explained: Generative AI

Using AI to optimize for rapid neural imaging

Using language to give robots a better grasp of an open-ended world

New techniques efficiently accelerate sparse tensors for massive AI models

Accelerating AI tasks while preserving data security

Making genetic prediction models more inclusive

Learning how to learn

A new way to integrate data with physical objects

New technique helps robots pack objects into a tight space

Finger-shaped sensor enables more dexterous robots

AI copilot enhances human precision for safer aviation

A more effective experimental design for engineering a cell into a new state

Giving students the computational chops to tackle 21st-century challenges

Decoding the complexity of Alzheimer’s disease

From physics to generative AI: An AI model for advanced pattern generation

Five MIT faculty members named 2023 Simons Investigators

3 Questions: A new PhD program from the Center for Computational Science and Engineering

MIT scholars awarded seed grants to probe the social implications of generative AI