Abstract: A system and a method for performing exchange of lidar datapoints between a lidar sensor and a host computing device are provided. The lidar sensor stores a sensor payload size range, and the host computing device stores a host payload size range. When the lidar connection is initiated, the host computing device and the lidar sensor perform handshaking to determine an overlapping range between the host sensor payload size range and the sensor payload size range, and to negotiate an acceptable datapoint payload size based on the overlapping range. Once the handshaking is complete, the lidar connection may be performed using the acceptable data point payload size as a payload size thereof. Thus, the payload size is independent of a maximum transmission unit (MTU) of an Ethernet.

Abstract: The invention described herein provides compositions comprising anti-BCMA antigen binding proteins and related methods for treating BCMA mediated diseases or disorders.

Abstract: A health care system's compliance engine uses a protocol management system to archive clinical treatment protocols for various clinical conditions in a single standard clinical protocol format, the format including elements such as parameters to be tracked, actions to be taken, symptom to watch for, and a period for each element. Archived protocols include standard protocols and protocols tailored for individual patients. The compliance engine further includes an escalation control system that assesses compliance and suggests remedial action according to plural factors including the clinical protocols, severity of non-compliance, rules regarding patient and caregiver contacts, compliance history of the patient, compliance history of a patient cohort, and machine learning as to probable best escalation paths for optimum outcomes.

Abstract: A method of mapping a first operation of a source framework to a second operation of a target framework for an artificial neural network includes determining an alignment between a current source axis order and a current target axis order. The method also includes setting the current target axis order based on the alignment, and an expected source axis order of the first operation and/or an expected target axis order of the second operation.

Abstract: A method of mapping a first operation of a source framework to a second operation of a target framework for an artificial neural network includes determining an alignment between a current source axis order and a current target axis order. The method also includes setting the current target axis order based on the alignment, and an expected source axis order of the first operation and/or an expected target axis order of the second operation.

Abstract: The present invention provides antigen binding proteins which bind specifically to TNF-alpha. For example novel variants of anti-TNF antibodies such as adalimumab which show increased binding to the FcRn receptor or increased half life compared to adalimumab. Also provided are compositions comprising the antigen binding proteins and uses of such compositions in treatment of disorders and disease.