A soft brace to prevent injury to one or more target joints or body segments is disclosed. The soft brace includes one or more tensile elements configured to limit motion of one or more target joints based on placement of the one or more tensile elements relative to the one or more target joints such that the placement and tension of each of the one or more tensile elements provides resistance against motion of the one or more target joints; one or more soft tissue anchors positioned on a body around the one or more target joints, the one or more anchors being configured to anchor one or more of the one or more tensile elements to the body to provide force distribution relative to the one or more target joints; and wherein at least one of the one or more tensile elements is routed in parallel with the approximate center of rotation of at least one of the one or more target joints.

Disclosed herein is a computing system using machine learning-based artificial intelligence. The computing system includes at least one processor, a first artificial neural network configured to pre-train on a first phase task based on a first dataset, a second artificial neural network configured to pre-train on a second phase task based on a second dataset, and a target artificial neural network configured to train on a target task based on a target dataset. The at least one processor transfers the parameter of the first phase layer of the first artificial neural network to the first phase layer of the target artificial neural network, transfers the parameter of the second phase layer of the second artificial neural network to the second phase layer of the target artificial neural network, and performs control so that the target artificial neural network performs fine-tuning training on the target task.