Abstract: Apparatuses, systems, and methods related to an image processor formed in an array of memory cells are described. An image processor as described herein is configured to reduce complexity and power consumption and/or increase data access bandwidth by performing image processing in the array of memory cells relative to image processing by a host processor external to the memory array. For instance, one apparatus described herein includes sensor circuitry configured to provide an input vector, as a plurality of bits that corresponds to a plurality of color components for an image pixel, and an image processor formed in an array of memory cells. The image processor is coupled to the sensor circuitry to receive the plurality of bits of the input vector. The image processor is configured to perform a color correction operation in the array by performing matrix multiplication on the input vector and a parameter matrix to determine an output vector that is color corrected.

Abstract: Examples described herein provide for attestation of memory dies using a respective memory identifier of the memory die itself. A memory device may include a memory die with a memory array, attestation logic, and programmable circuitry that stores a memory identifier associated with the memory array. The attestation logic may generate an encryption key pair based on the memory identifier stored in the programmable circuitry. Advantageously, by attesting memory die using a memory identifier stored in programmable circuitry, examples of systems and methods described herein may provide increased security for data processed by memory die. For example, a non-attested or compromised memory die may be remediated. The attestation of memory dies may include attestation of memory dies on wireless devices, drones, vehicles, and/or Internet-of-Things devices.

Abstract: Methods, systems, and devices for measuring change in a channel characteristic to detect a memory device attack are described. A system, such as a vehicle system, May include a host device coupled with a memory device. The host device may transmit a first signal to the memory device and may receive, from the memory device, a second signal as feedback based on the first signal. The host device may determine a channel characteristic, such as a channel impedance measurement, based on the second signal received from the memory device. If the determined channel characteristic fails to satisfy a threshold (e.g., if the measured channel impedance fails to satisfy a reference value within a tolerance range), the host device may detect a potential attack on the memory device and may take corrective action, such as disabling one or more features of the memory device.

Abstract: Methods, systems, and devices for temperature change measurement to detect an attack on a memory device are described. A memory device may measure a rate of change for temperature readings at a dynamic random access memory (DRAM) component of the memory device (e.g., using sensors at the DRAM component). The memory device may compare the rate of change for the temperature to a threshold, for example, using circuitry, a threshold value stored in memory, or both. If the memory device determines that the rate of change for the temperature satisfies the threshold, the memory device may disable one or more features of the memory device to protect against a potential attack. For example, an attack on the memory device may be indicated by the change in temperature readings at the DRAM component, and the memory device may perform one or more protective measures based on detecting the temperature change.

Abstract: A method can include performing at least one glitch resistance operation and detecting, by a circuit included in a glitch detector coupled via a connection matrix to a first processing unit, an indication of a glitch on a memory system. The method can include notifying, via the connection matrix, at least a second processing unit of the detected indication of the glitch. The method can include subsequent to notifying at least the second processing unit, transmitting via the at least the second processing unit a glitch confirmation signal.

Abstract: Methods, systems, and devices for protective actions for a memory device based on detecting an attack are described. In some systems, a memory device may detect whether a fault is injected into the memory device. The memory device may apply a delay during boot up if a fault is detected. To ensure the delay is applied, the memory device may default to applying the delay and may remove an indication to apply the delay if a fault is not detected. Additionally or alternatively, the memory device may erase information from non-volatile memory during boot up, for example, if a fault is detected. The memory device may be configured to ensure at least a specific portion of memory resources (e.g., resources configured to store sensitive information) is erased during boot up. In some examples, the memory device may store data using a stream cipher to improve security of the data.

Abstract: Apparatuses, systems, and methods related to an image processor formed in an array of memory cells are described. An image processor as described herein is configured to reduce complexity and power consumption and/or increase data access bandwidth by performing image processing in the array of memory cells relative to image processing by a host processor external to the memory array. For instance, one apparatus described herein includes sensor circuitry configured to provide an input vector, as a plurality of bits that corresponds to a plurality of color components for an image pixel, and an image processor formed in an array of memory cells. The image processor is coupled to the sensor circuitry to receive the plurality of bits of the input vector. The image processor is configured to perform a color correction operation in the array by performing matrix multiplication on the input vector and a parameter matrix to determine an output vector that is color corrected.

Abstract: Methods and apparatus for biometric data maintenance, access and distribution across two or more experiential and/or network domains. In one embodiment, a 5G NR-based network architecture is provided which allows ultra-low latency and effectively user-imperceptible biometric data use for e.g., authentication and maintenance of user state across multiple domains via multiple constituent user devices (e.g., UEs). The network architecture includes both (i) a distributed biometric database (BDB) model wherein relevant biometric data for individuals/UEs is intelligently cached in various portions of the distributed database, and (ii) centralized and local BAEs (biometric analytics entities) which manage the aforementioned intelligent caching, as well as network configuration using one or both of 5G NR network “slicing” and CU/DU split options to optimize end-user biometric-related applications such as those providing identification/authentication, AR functions, VR functions or yet others.

Abstract: Methods, systems, and devices for measuring change in a channel characteristic to detect a memory device attack are described. A system, such as a vehicle system, may include a host device coupled with a memory device. The host device may transmit a first signal to the memory device and may receive, from the memory device, a second signal as feedback based on the first signal. The host device may determine a channel characteristic, such as a channel impedance measurement, based on the second signal received from the memory device. If the determined channel characteristic fails to satisfy a threshold (e.g., if the measured channel impedance fails to satisfy a reference value within a tolerance range), the host device may detect a potential attack on the memory device and may take corrective action, such as disabling one or more features of the memory device.

Abstract: Methods, systems, and devices for voltage input and clock speed change determination to detect an attack are described. In some systems, a memory device may receive first signaling indicative of a first value for an input (e.g., voltage input, clock speed) to the memory device. The memory device may further receive second signaling indicative of a second (e.g., time-delayed) value for the input to the memory device. The memory device may detect a change to the input based on the first signaling and the second signaling. For example, the memory device may compare the first signaling to the second signaling, may compare a difference between the first signaling and the second signaling to a threshold, or both. If the input changes (e.g., by a threshold amount), the memory device may disable one or more features to protect against an attack on the memory device.

Abstract: Methods, systems, and devices for temperature change measurement to detect an attack on a memory device are described. A memory device may measure a rate of change for temperature readings at a dynamic random access memory (DRAM) component of the memory device (e.g., using sensors at the DRAM component). The memory device may compare the rate of change for the temperature to a threshold, for example, using circuitry, a threshold value stored in memory, or both. If the memory device determines that the rate of change for the temperature satisfies the threshold, the memory device may disable one or more features of the memory device to protect against a potential attack. For example, an attack on the memory device may be indicated by the change in temperature readings at the DRAM component, and the memory device may perform one or more protective measures based on detecting the temperature change.

Abstract: A method can include performing at least one glitch resistance operation and detecting, by a circuit included in a glitch detector coupled via a connection matrix to a first processing unit, an indication of a glitch on a memory system. The method can include notifying, via the connection matrix, at least a second processing unit of the detected indication of the glitch. The method can include subsequent to notifying at least the second processing unit, transmitting via the at least the second processing unit a glitch confirmation signal.

Abstract: Methods, systems, and devices for verification of a volatile memory, such as a dynamic random-access memory (DRAM), using a unique identifier (ID) are described. A memory device may store a unique ID for a DRAM component of the memory device in non-volatile memory (e.g., in the DRAM, external to the DRAM). A host device coupled with the memory device may store, to non-volatile memory at the host device, information for verifying the identity of the DRAM component, for example, based on the unique ID. The memory device and host device may perform a procedure for verification of the identity of the DRAM component using the unique ID of the DRAM and the verification information stored at the host device. If the host device detects that the DRAM has been replaced or modified based on the verification procedure, the host device may disable one or more features of the memory device.

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of configuration modes for baseband units (BBU) and remote radio heads (RRH). For example, a computing system including a BBU and a RRH may receive a configuration mode selection including information indicative of a configuration mode for respective processing units of the BBU and the RRH. The computing system may allocate the respective processing units to perform wireless processing stages associated with a wireless protocol. The BBU and/or the RRH may generate an output data stream based on the mixing of coefficient data with input data at the BBU and/or the RRH. Examples of systems and methods described herein may facilitate the processing of data for 5G (e.g., New Radio (NR)) wireless communications in a power-efficient and time-efficient manner.

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is received by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same frequency band as the wireless receiver is receiving.

Abstract: Methods and apparatus for biometric data maintenance, access and distribution across two or more experiential and/or network domains. In one embodiment, a 5G NR-based network architecture is provided which allows ultra-low latency and effectively user-imperceptible biometric data use for e.g., authentication and maintenance of user state across multiple domains via multiple constituent user devices (e.g., UEs). The network architecture includes both (i) a distributed biometric database (BDB) model wherein relevant biometric data for individuals/UEs is intelligently cached in various portions of the distributed database, and (ii) centralized and local BAEs (biometric analytics entities) which manage the aforementioned intelligent caching, as well as network configuration using one or both of 5G NR network “slicing” and CU/DU split options to optimize end-user biometric-related applications such as those providing identification/authentication, AR functions, VR functions or yet others.

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is received by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same frequency band as the wireless receiver is receiving.

Abstract: A system includes a memory comprising a memory cell array configured to store data and a logging logic circuit configured to generate a log of detected faults or attacks on the memory cell array, and a host hosting a hypervisor. The hypervisor is configured to host a virtual machine, including managing data allocation for processes of the virtual machine to a first region of the memory cell array. The hypervisor is further configured to receive the log of detected faults or attacks? generated by the logging logic circuit. In response to a determination that the first region of the memory cell array has a detected fault or attack based on the log of detected faults or attacks, re-direct data allocation for the virtual machine to a second region of the memory cell array.

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

Abstract: Examples described herein include apparatuses and methods for full duplex device-to-device cooperative communication. Example systems described herein may include self-interference noise calculators. The output of a self-interference noise calculator may be used to compensate for the interference experienced due to signals transmitted by another antenna of the same wireless device or system. In implementing such a self-interference noise calculator, a selected wireless relaying device or wireless destination device may operate in a full-duplex mode, such that relayed messages may be transmitted as well as information from other sources or destinations during a common time period (e.g., symbol, slot, subframe, etc.).