TRANSIENT CURRENT-MODE SIGNALING SCHEME FOR ON-CHIP INTERCONNECT FABRICS
Granted: August 8, 2024
Application Number:
20240264625
Circuits that include one or more transmission lines to propagate a signal through a serially-arranged plurality of repeaters, and one or more control circuits to propagate control pulses to the repeaters, wherein a timing and duration of the control pulses is configured to operate the repeaters in current-mode signaling (CMS) mode during a state transition of the signal at the repeaters and to operate the repeaters in voltage-mode signaling (VMS) mode otherwise.
UNSUPERVISED PRE-TRAINING OF NEURAL NETWORKS USING GENERATIVE MODELS
Granted: August 1, 2024
Application Number:
20240256831
In various examples, systems and methods are disclosed relating to generating a response from image and/or video input for image/video-based artificial intelligence (AI) systems and applications. Systems and methods are disclosed for a first model (e.g., a teacher model) distilling its knowledge to a second model (a student model). The second model receives a downstream image in a downstream task and generates at least one feature. The first model generates first features corresponding…
DEVICE FOR COOLANT LEAK DETECTION ON PRINTED CIRCUIT BOARDS
Granted: July 18, 2024
Application Number:
20240241007
Devices, systems, and methods are provided for surface-mounted leak detection on a printed circuit board. An example leak detection device includes a first and second electrical contact with a selectively conductive material disposed therebetween. At a first electrical conductivity of the selectively conductive material, the device has a first circuit state. The selectively conductive material is configured to change from the first electrical conductivity to a second electrical…
DIGITALLY CONTROLLED UNIFIED RECEIVER FOR MULTI-RANK SYSTEM
Granted: July 11, 2024
Application Number:
20240235557
A multi-rank circuit system includes multiple transmitters each switchably coupled to a first end of a shared input/output (IO) channel and a unified receiver coupled to a second end of the shared IO channel. The unified receiver is coupled to apply an analog reference voltage to set a differential output of the unified receiver, and further configured to apply a variable digital code to adjust the differential output according to a particular one of the transmitters that is switched to…
IMAGE PROCESSING USING NEURAL NETWORKS, WITH IMAGE REGISTRATION
Granted: July 11, 2024
Application Number:
20240233146
In various examples, systems and methods are disclosed relating to registering image processing with image registration for image generation and content stream applications. Systems and methods are disclosed for registering portions of images that are modified to incorporate content or features, with references images from which the portions of the images are identified. The systems and methods can transform the modified portions to more realistically and precisely merge back into the…
ALLOCATING RADIO RESOURCES USING ARTIFICIAL INTELLIGENCE
Granted: July 4, 2024
Application Number:
20240223344
Apparatuses, systems, and techniques to allocate one or more compute resources to a user device. In at least one embodiment, one or more circuits cause one or more compute resources to be allocated to two or more fifth-generation (5G) radio access network (RAN) cells based, at least in part, on interference between the two or more 5G RAN cells.
DETERMINING OBJECT ASSOCIATIONS USING MACHINE LEARNING IN AUTONOMOUS SYSTEMS AND APPLICATIONS
Granted: June 27, 2024
Application Number:
20240211748
In various examples, systems and methods are disclosed relating to determining associations between objects represented in sensor data and predicted states of the objects in multi-sensor systems such as autonomous or semi-autonomous vehicle perception systems. Systems and methods are disclosed that employ neural network models, such as multi-layer perceptron (MLP) models or other deep neural network (DNN) models, in learning association costs between sensor measurements and predicted…
GENERATING VARIATIONAL DIALOGUE RESPONSES FROM STRUCTURED DATA FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
Granted: June 6, 2024
Application Number:
20240184991
In various examples, systems and methods are disclosed relating to generating dialogue responses from structured data for conversational artificial intelligence (AI) systems and applications. Systems and methods are disclosed for training or updating a machine learning model—such as a deep neural network—for deployment using structured data from dialogues of multiple domains. The systems and methods can generate responses to users to provide a more natural user experience, such as by…
VISION TRANSFORMER FOR IMAGE GENERATION
Granted: June 6, 2024
Application Number:
20240185396
Apparatuses, systems, and techniques to generate images. In at least one embodiment, one or more machine learning models generate an output image based, at least in part, on calculating attention scores using time embeddings.
DISTRIBUTION OF QUANTUM STATE VECTOR ELEMENTS ACROSS NETWORK DEVICES IN QUANTUM COMPUTING SIMULATION
Granted: June 6, 2024
Application Number:
20240185110
Aspects of this technical solution can identify, based at least on a representation of a quantum computing circuit, a first node of a topology of a computing platform configured to simulate at least a portion of the quantum computing circuit, compute a first metric indicating a first latency including the first node, the first latency based at least on a portion of the topology including the first node, select a second node of the topology having a second metric indicating a second…
ALIAS-FREE TAGGED ERROR CORRECTING CODES FOR MACHINE MEMORY OPERATIONS
Granted: June 6, 2024
Application Number:
20240184670
Implicit Memory Tagging (IMT) mechanisms utilizing alias-free memory tags that enable hardware-assisted memory tagging without incurring storage overhead above those incurred by conventional tagging mechanisms, while providing enhanced data integrity and memory security. The IMT mechanisms enhance the utility of error correcting codes (ECCs) to test memory tags in addition to the traditional utility of ECCs for detecting and correcting data errors and enable a finer granularity of memory…
CHANNEL ESTIMATION USING ARTIFICIAL INTELLIGENCE
Granted: May 30, 2024
Application Number:
20240179031
Apparatuses, systems, and techniques to estimate one or more wireless channels between one or more user devices and a base station. In at least one embodiment, one or more circuits use one or more groups of two or more reflected wireless reference signals to estimate the one or more wireless channels based, at least in part, on one or more bandlimited functions.
SYSTEMS, METHODS, AND APPARATUSES FOR MAKING WRITES TO PERSISTENT MEMORY
Granted: May 30, 2024
Application Number:
20240176544
A method, computer program product, apparatus, and system are provided. Some embodiments may include transmitting a request to make one or more writes associated with an identification tag. The request may include the identification tag, the one or more writes, a first instruction to make the one or more writes to one of a plurality of persistence levels of a memory, and a second instruction to respond with at least one first indication that the one or more writes associated with the…
HIGH-RESOLUTION VIDEO GENERATION USING IMAGE DIFFUSION MODELS
Granted: May 23, 2024
Application Number:
20240171788
In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial…
LOW-PRECISION FLOATING-POINT DATAPATH IN A COMPUTER PROCESSOR
Granted: May 16, 2024
Application Number:
20240160406
Mechanisms to exploit the inherent resiliency of deep learning inference workloads to improve the energy efficiency of computer processors such as graphics processing units with these workloads. The mechanisms provide energy-accuracy tradeoffs in the computation of deep learning inference calculations via energy-efficient floating point data path micro-architectures with integer accumulation, and enhanced mechanisms for per-vector scaled quantization (VS-Quant) of floating-point…
DUAL PORT DUAL POWER RAIL MEMORY ARCHITECTURE
Granted: May 16, 2024
Application Number:
20240161815
Multi-ported memories that include write peripheral logic configured to operate in a first voltage domain, read peripheral logic configured to operate in a second voltage domain, and at least one bit cell array, wherein the write peripheral logic and the read peripheral logic are disposed on opposite sides of the bit cell array and voltage domain crossings between the first voltage domain and the second voltage domain are localized in bit cells of the at least one bit cell array.
PHYSICALLY UNCLONABLE CELL USING DUAL-INTERLOCKING AND ERROR CORRECTION TECHNIQUES
Granted: May 16, 2024
Application Number:
20240161800
PUF cells utilizing a dual-interlocking scheme demonstrating improved noise immunity and stability across different V/T conditions and different uses over time in noisy environments. The PUF cell may be advantageously utilized in conjunction with error detection techniques that screen out unstable cells. A set of such PUF cells utilized to generate a device-specific bit pattern, for example a master key.
SCENE-AWARE SPEECH RECOGNITION USING VISION-LANGUAGE MODELS
Granted: May 16, 2024
Application Number:
20240161749
A system to generate a latent space model of a scene or video and apply this latent space and candidate sentences formed from digital audio to a vision-language matching model to enhance the accuracy of speech-to-text conversion. A latent space embedding of the scene is generated in which similar features are represented in the space closer to one another. An embedding for the digital audio is also generated. The vision-language matching model utilizes the latent space embedding to…
PHYSICS-BASED SIMULATION OF HUMAN CHARACTERS IN MOTION
Granted: May 16, 2024
Application Number:
20240161377
In various examples, systems and methods are disclosed relating to generating a simulated environment and update a machine learning model to move each of a plurality of human characters having a plurality of body shapes, to follow a corresponding trajectory within the simulated environment as conditioned on a respective body shape. The simulated human characters can have diverse characteristics (such as gender, body proportions, body shape, and so on) as observed in real-life crowds. A…
REALISTIC, CONTROLLABLE AGENT SIMULATION USING GUIDED TRAJECTORIES AND DIFFUSION MODELS
Granted: May 16, 2024
Application Number:
20240160888
In various examples, systems and methods are disclosed relating to neural networks for realistic and controllable agent simulation using guided trajectories. The neural networks can be configured using training data including trajectories and other state data associated with subjects or agents and remote or neighboring subjects or agents, as well as context data representative of an environment in which the subjects are present. The trajectories can be determining using the neural…
