Artificial intelligence that understands object relationships
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
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A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
A new machine-learning system helps robots understand and perform certain social interactions.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Those selected for these positions receive additional support to pursue their research and develop their careers.
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.