Abstract: Machine learning-based techniques for predicting trademark similarity are described. For instance, a first trademark pair comprising an attribute of a first trademark and a corresponding attribute of a second trademark is received. A level of similarity is determined between the first trademark pair and respective second trademark pairs included in respective legal proceedings maintained in a database. A subset of proceedings from the proceedings is selected, each proceeding of the subset including a respective second trademark pair that has the level of similarity with the first trademark pair. A feature vector is generated based on each proceeding of the subset. The feature vector is provided to a machine learning model that outputs a prediction score, based on the feature vector, as to whether a subsequent proceeding would find a likelihood of confusion between the first trademark and the second trademark. The prediction score is provided to a user interface.

Abstract: A cable robot comprises a platform supporting an effector and cables. Each cable is connected on one end to an attachment point on the platform and extends from this attachment point to an anchoring point attached to a supporting structure. The anchoring points being contained in more than one plane. The cables include a set of driving cables whose ends are connected to a winch. The cables include a set of reconfigurable cables, whose anchoring points are movable relative to the supporting structure. The supporting structure is beared by a set of independent mobile bases having anchorings to fix the mobile bases to the ground.

Abstract: A cable robot comprises a platform supporting an effector and cables. Each cable is connected on one end to an attachment point on the platform and extends from this attachment point to an anchoring point attached to a supporting structure. The anchoring points being contained in more than one plane. The cables include a set of driving cables whose ends are connected to a winch. The cables include a set of reconfigurable cables, whose anchoring points are movable relative to the supporting structure. The supporting structure is beared by a set of independent mobile bases having anchorings to fix the mobile bases to the ground.

Abstract: Various instrumentation, implants and methodology are disclosed for implanting bone implants in the TLIF approach. The implants are preferably cortical bone of various shapes. The instruments include chisels, rasps, trials, inserters, spreaders, adjustors, curettes, rongeurs, and impactors. The instruments have straight and bent shafts. The implants may have recesses or notches in their sides for receipt of a mating insertion instrument. Some of the implants have a threaded hole for receiving a mating threaded stud of an implant insertion instrument. The implants may have saw tooth vertebral gripping surfaces which are lordotic or parallel, may be C-shaped, multi-faceted or annular.