Helping robots zero in on the objects that matter
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
The new approach “nudges” existing climate simulations closer to future reality.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
AI models that prioritize similarity falter when asked to design something completely new.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.