Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

Abstract: A mechanism is described for facilitating sharing of data and compression expansion of models at autonomous machines. A method of embodiments, as described herein, includes detecting a first processor processing information relating to a neural network at a first computing device, where the first processor comprises a first graphics processor and the first computing device comprises a first autonomous machine. The method further includes facilitating the first processor to store one or more portions of the information in a library at a database, where the one or more portions are accessible to a second processor of a computing device.

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes sorting logic to sort processing threads into thread groups based on bit depth of floating point thread operations.

Abstract: There is provided inter alia a composition comprising a TNF-alpha binding polypeptide and an IL-6R binding polypeptide.

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a mixed precision core to perform a mixed precision multi-dimensional matrix multiply and accumulate operation on 16-bit and/or 32 bit floating-point elements.

Abstract: Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple precisions.

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

Abstract: A vehicle includes: (i) a main telematics module, (ii) a connectivity module including antenna(s) and processor(s). The connectivity module is configured to: (a) authenticate a mobile device via a vehicle-access-key (VAK); (b), if (a), issue an ephemeral-session-key (DSK) to the mobile device; (c), if (b), establish an active session with the mobile device; (d) encrypt all messages to the mobile device with the VAK during (a) and with the DSK during (c). The connectivity module is configured to automatically revoke the DSK upon expiration of a predetermined time interval.

Abstract: A system for treating emissions from a vehicle includes an ozone generator, a first holding tank, and an exhaust vent. The first holding tank is downstream from the ozone generator and defines a volume for liquid waste beneath a void space. The exhaust vent is downstream from the first holding tank and outside of the vehicle. A supply conduit connects the ozone generator to the void space of the first holding tank. An exhaust conduit connects the void space of the first holding tank to the exhaust vent. The ozone generator, supply conduit, void space of the first holding tank, exhaust conduit, and exhaust vent establish a thermal driving head from the ozone generator through the void space of the first holding tank to the exhaust vent.

Abstract: One embodiment provides an accelerator module comprising a memory stack including multiple memory dies; a graphics processing unit (GPU) coupled with the memory stack via one or more memory controllers, the GPU including a plurality of multiprocessors having a single instruction, multiple thread (SIMT) architecture, the multiprocessors to execute at least one single instruction. The at least one single instruction is to cause at least a portion of the GPU to perform a floating point operation on input having differing precisions. The floating point operation is a two-dimensional matrix multiply and accumulate operation.

Abstract: Embodiments provide systems and methods which facilitate optimization of a convolutional neural network (CNN). One embodiment provides for a non-transitory machine-readable medium storing instructions that cause one or more processors to perform operations comprising processing a trained convolutional neural network (CNN) to generate a processed CNN, the trained CNN having weights in a floating-point format. Processing the trained CNN includes quantizing the weights in the floating-point format to generate weights in an integer format. Quantizing the weights includes generating a quantization table to enable non-uniform quantization of the weights and quantizing the weights from the floating-point format to the integer format using the quantization table. The operations additionally comprise performing an inference operation utilizing the processed CNN with the integer format weights.

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

Abstract: A system for treating emissions from a vehicle includes an ozone generator, a first holding tank, and an exhaust vent. The first holding tank is downstream from the ozone generator and defines a volume for liquid waste beneath a void space. The exhaust vent is downstream from the first holding tank and outside of the vehicle. A supply conduit connects the ozone generator to the void space of the first holding tank. An exhaust conduit connects the void space of the first holding tank to the exhaust vent. The ozone generator, supply conduit, void space of the first holding tank, exhaust conduit, and exhaust vent establish a thermal driving head from the ozone generator through the void space of the first holding tank to the exhaust vent.

Abstract: Systems and methods provide improved techniques directed to simultaneous switching output (SSO) noise, which for example may be applied during the programmable logic device design process. For example in accordance with an embodiment, a method of structuring simultaneous switching output (SSO) noise data for an electronic device includes collecting hardware data on SSO noise conditions; generating additional data on SSO noise conditions based on the hardware data; and structuring the hardware data and the additional data to form data tables for SSO noise calculations.

Abstract: Systems and methods provide I/O signal placement algorithms, such as for a programmable logic device. For example, a performing input/output (I/O) signal placement to pins of an electronic device, in accordance with an embodiment, includes placing all pre-assigned I/O signals to their assigned pin locations; placing unassigned I/O signals to initial I/O pin locations; and performing a simulated annealing for the I/O signals placed at initial I/O pin locations, wherein the simulated annealing accounts for simultaneous switching output (SSO) noise requirements.

Abstract: An Internet based broadcasting system manages the insertion of advertisements and other messages into multiple broadcasts of live sporting events and other types of broadcasts. The insertion of advertisements and other messages is governed by program logs generated by a traffic system, signals extracted from the broadcasts themselves, and signals received from producer systems. The traffic system facilitates the marketing of advertising opportunities for the multiple broadcasts packaged in a variety of ways. The broadcasts are received by tuner systems that are automatically downloaded and installed on user's computers. The tuner systems can download and display demographically selected multimedia advertisements, banner advertisements, and a variety of messages that may be called for by the producer systems, which may be wireless portable computers that can be carried to sports events or other broadcasts by the producers of the broadcasts.

Abstract: An Internet based broadcasting system manages the insertion of advertisements and other messages into multiple broadcasts of live sporting events and other types of broadcasts. The insertion of advertisements and other messages is governed by program logs generated by a traffic system, signals extracted from the broadcasts themselves, and signals received from producer systems. The traffic system facilitates the marketing of advertising opportunities for the multiple broadcasts packaged in a variety of ways. The broadcasts are received by tuner systems that are automatically downloaded and installed on user's computers. The tuner systems can download and display demographically selected multimedia advertisements, banner advertisements, and a variety of messages that may be called for by the producer systems, which may be wireless portable computers that can be carried to sports events or other broadcasts by the producers of the broadcasts.

Abstract: An Internet based broadcasting system manages the insertion of advertisements and other messages into multiple broadcasts of live sporting events and other types of broadcasts. The insertion of advertisements and other messages is governed by program logs generated by a traffic system, signals extracted from the broadcasts themselves, and signals received from producer systems. The traffic system facilitates the marketing of advertising opportunities for the multiple broadcasts packaged in a variety of ways. The broadcasts are received by tuner systems that are automatically downloaded and installed on user's computers. The tuner systems can download and display demographically selected multimedia advertisements, banner advertisements, and a variety of messages that may be called for by the producer systems, which may be wireless portable computers that can be carried to sports events or other broadcasts by the producers of the broadcasts.

Abstract: An e-learning tool that uses an object-oriented approach to permit easily-developed course content to be quickly produced in customized form for a plurality of users. An authoring tool uses a template-based system to create courses in the form of individualized learning objects, each learning object containing a learning objective, content, and an assessment item. Various graphics, audio and text are also embodied in object form, associated with the proper learning object(s), and stored within a database. A dynamic delivery tool accesses the objects for a particular course upon request by a student, and virtually instantaneously creates a course customized for that student based upon a profile of the student stored within a learning management system. In this way, course administrators and developers can update or otherwise manipulate the course simply by modifying the individual objects, and the student views only those objects that he or she desires or is capable of viewing.