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7h
Tech Xplore on MSNRobot, know thyself: New vision-based system teaches machines to understand their bodies
In an office at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls ...
9d
Live Science on MSNMIT's new AI can teach itself to control robots by watching the world through their eyes — it only needs a single camera
The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...
In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a ...
Controllability test theory for modelic control (i.e., model-based control) systems has been extensively studied by many renowned scholars.
APC paradigm now more affordable, agile, scalable, and reliable. By Allan Kern, PE. In this article, as in industry, advanced process control (APC) refers primarily to multi-variable ...
Model predictive control (MPC) is a well-established technology for multivariable processes that was originally developed in the 1970s with the introduction of digital computer-based control systems.
This presentation describes a low-cost, column-based continuous viral inactivation system constructed with off-the-shelf components. Model-based, reaction-invariant pH controller is implemented to ...
A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...
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