Abstract: Examples described herein includes a network interface controller comprising a memory interface and a network interface, the network interface controller configurable to provide access to local memory and remote memory to a requester, wherein the network interface controller is configured with an amount of memory of different memory access speeds for allocation to one or more requesters. In some examples, the network interface controller is to grant or deny a memory allocation request from a requester based on a configuration of an amount of memory for different memory access speeds for allocation to the requester. In some examples, the network interface controller is to grant or deny a memory access request from a requester based on a configuration of memory allocated to the requester. In some examples, the network interface controller is to regulate quality of service of memory access requests from requesters.

Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.

Abstract: Examples described herein relate to a network interface. In some examples, the network interface is to access data designated for transmission in at least one packet to multiple memory nodes by inclusion of an multicast identifier of a memory node group and transmit the at least one packet to a destination network device, wherein the multicast identifier of the memory node group in the at least one packet is to cause an intermediate network device to multicast the packet to multiple memory nodes. In some examples, a memory node comprises a memory pool that includes one or more of: volatile memory, non-volatile memory, or persistent memory. In some examples, the intermediate network device comprises a switch configured to determine network addresses of memory nodes associated with the multicast identifier of the memory node group.

Abstract: Examples described herein and includes at least one processor and a direct memory access (DMA) device. In some examples, the DMA device is to: access a command from a memory region allocated to receive commands for execution by the DMA device, wherein the command is to access content from a local memory device or remote memory node. In some examples, the DMA device is to: determine if the content is stored in a local memory device or a remote memory node based on a configuration that indicates whether a source address refers to a memory address associated with the local memory device or the remote memory node and whether a destination address refers to a memory address associated with the local memory device or the remote memory node. In some examples, the DMA device is to: copy the content from a local memory device or copy the content to the local memory device using a memory interface.

Abstract: One variation of a method for tracking stock level within a store includes: at a robotic system, navigating along a first inventory structure in the store, broadcasting radio frequency interrogation signals according to a first set of wireless scan parameters, and recording a first set of wireless identification signals returned by radio frequency identification tags coupled to product units arranged on the first inventory structure; generating a first list of product units arranged on the first inventory structure based on the first set of wireless identification signals; detecting a first product quantity difference between the first list of product units and a first target stock list assigned to the first inventory structure by a planogram of the store; and generating a stock correction prompt for the first inventory structure in response to the first product quantity difference.

Abstract: A system and method is provided for assisting and guiding a visually impaired person. The system (100) includes a remote (106) configured to take request from a user; a head mounted device (102) configured to capture image and signal in the vicinity of the user and to communicate audio signal regarding the object and navigation; a GPS equipped mobile hand device (109) to navigate in a remote location; and a pocket computer (104) and a server computer (105) configured to collect and process signals received from the head mounted device (102), remote (106) and GPS equipped mobile hand device (109).

Abstract: Examples herein relate to a system capable of coupling to a remote memory pool, the system comprising: a memory controller and an interface to a connection, the interface coupled to the memory controller. In some examples, the interface is to translate a format of a memory access request to a format accepted by the memory controller and the memory controller is to provide the translated memory access request in a format accepted by a media. In some examples, a controller is to measure a number of addressable regions that are least accessed and cause at least one of the least accessed regions to be evicted to a local or remote memory device with relatively higher latency.

Abstract: One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.

Abstract: One variation of a method for tracking stock level within a store includes: at a robotic system, navigating along a first inventory structure in the store, broadcasting radio frequency interrogation signals according to a first set of wireless scan parameters, and recording a first set of wireless identification signals returned by radio frequency identification tags coupled to product units arranged on the first inventory structure; generating a first list of product units arranged on the first inventory structure based on the first set of wireless identification signals; detecting a first product quantity difference between the first list of product units and a first target stock list assigned to the first inventory structure by a planogram of the store; and generating a stock correction prompt for the first inventory structure in response to the first product quantity difference.

Abstract: An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to provide an interface to a pooled memory that is configured as a combination of local memory and remote memory, wherein the remote memory is shared between multiple compute nodes, allocate respective memory portions of the pooled memory to respective tenants, associate respective memory balloons with the respective tenants that correspond to the allocated respective memory portions, and manage the respective memory balloons based on the respective tenants and two or more memory tiers associated with the pooled memory. Other embodiments are disclosed and claimed.

Abstract: Systems and methods for selectively enforcing business logic on a plurality of applications have been provided. The system architecture may include one or more systems of record and a plurality of applications running on a plurality of client machines. A smart factory may store customer data and associated logic obtained from a system of record. The logic may include rules governing use of the customer data in an application user interface. The smart factory may transmit the rules to the plurality of applications. Each application may include an application integrator configured to receive the rules and execute an update to enforce the rules on an application user interface. In addition, the smart factory customer data may be accessed by the applications to prevent repeated calls to the systems of record for commonly used information.

Abstract: An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to allocate a first memory portion to a first application as a combination of a local memory and remote memory, wherein the remote memory is shared between multiple compute nodes, and manage a first memory balloon associated with the first memory portion based on two or more memory tiers associated with the local memory and the remote memory. Other embodiments are disclosed and claimed.

Abstract: Systems and methods for selectively enforcing business logic on a plurality of applications have been provided. The system architecture may include one or more systems of record and a plurality of applications running on a plurality of client machines. A smart factory may store customer data and associated logic obtained from a system of record. The logic may include rules governing use of the customer data in an application user interface. The smart factory may transmit the rules to the plurality of applications. Each application may include an application integrator configured to receive the rules and execute an update to enforce the rules on an application user interface. In addition, the smart factory customer data may be accessed by the applications to prevent repeated calls to the systems of record for commonly used information.

Abstract: One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: One variation of a method for detecting and responding to hazards within a store includes: autonomously navigating toward an area of a floor of the store; recording a thermal image of the area; recording a depth map of the area of the floor; detecting a thermal gradient in the thermal image; scanning a region of the depth map, corresponding to the thermal gradient detected in the thermal image, for a height gradient; in response to detecting the thermal gradient in the thermal image and in response to detecting absence of a height gradient in the region of the depth map, predicting presence of a fluid within the area of the floor; and serving a prompt to remove the fluid from the area of the floor of the store to a computing device affiliated with the store.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for monitoring cooling units in a store includes: at a robotic system, during a first scan routine, autonomously navigating toward a cooling unit in the store, recording a color image of the cooling unit, and scanning a set of temperatures within the cooling unit; identifying a set of products stocked in the cooling unit based on features detected in the color image; mapping the set of temperatures to the set of products at a first time during the first scan routine based on positions of products in the set of products identified in the color image; and generating a record of temperatures of the set of products stocked in the cooling unit at the first time.

Abstract: A function as a service (FAAS) computing system includes processing to adaptively select function flavors to implement requested functions. Processing includes receiving a request to perform a function from an application, discovering one or more flavors for the function, each flavor to implement the function on computing hardware components of computing platforms, and selecting a first function flavor to implement the requested function. Processing further includes causing execution of the first function flavor by a first computing hardware component for the requested function, determining whether performance degradation of the first computing hardware component exists for the first function flavor, and if so, selecting a second function flavor to implement the requested function, and causing execution of the second function flavor by a second computing hardware component for the requested function, and if not, continuing to cause execution of the first function flavor for requests for the function.