Abstract: Examples systems and methods for improved artificial intelligence generative model image attribution include a processor accessing instructions stored on a machine-readable storage medium. The instructions can be executable by the processor to obtain latent semantic dimensions by applying a principal component analysis on a latent distribution. Perturbations can be applied along the latent semantic dimensions according to a user-specific key and a predetermined perturbations strength to embed a model-specific fingerprint to embed a fingerprinted latent variable directly into the generative model such that the generative model generates images with model-specific fingerprints.

Abstract: A resistive random access memory (RRAM) device includes a plurality of memory cells, each of at least a subset of the memory cells including first and second electrodes and an organic thin film compound mixed with silver perchlorate (AgClO4) salt as a base layer that is incorporated with a prescribed quantity of inorganic metal oxide molecules using vapor-phase infiltration (VPI), the base layer being formed on an upper surface of the first electrode and the second electrode being formed on an upper surface of the base layer. Resistive switching characteristics of the RRAM device are controlled as a function of a concentration of AgClO4 salt in the base layer. A variation of device switching parameters is controlled as a function of an amount of infiltrated metal oxide molecules in the base layer.

Abstract: An end-to-end trainable grouped mathematically differentiable non-maximal suppression (NMS) technique is presented for monocular 3D object detection. First, formulate NMS as a matrix operation and then group and mask the boxes in an unsupervised manner to obtain a simple closed-form expression of the NMS. This technique addresses the mismatch between training and inference pipelines and, therefore, forces the network to select the best 3D box in a differentiable manner. As a result, the proposed technique achieves state-of-the-art monocular 3D object detection results on the KITTI benchmark dataset performing comparably to monocular video-based methods.

Abstract: A structure for emitting light is provided. The structure comprises an emissive layer (EML) positioned between electrodes. The EML is tuned such that emission of a transverse electric (TE) waveguide mode from the EML is promoted. The structure further comprises an optical component for diffracting the TE waveguide mode to emit light from the structure.

Abstract: For improved Ku band communications, an antenna system includes a planar antenna surface, at least one waveguide feed network, and a waveguide. The planar antenna surface is coupled to at least one port. The at least one waveguide feed network includes an H plane junction splitter and at least two E plane junction splitters. The H plane junction splitter is disposed on a channel septum in a channel. A splitter axis of the channel septum and the H plane junction splitter is rotated about a P axis. The at least two E plane junction splitters are each disposed on septum and coupled to the H plane junction splitter via the channel. The waveguide is coupled to the waveguide feed network.

Abstract: Dopamine producing probiotics to increase immune responses to vaccination and to provide increased immune protection are provided. Also provided are dopamine producing synbiotic compositions, formulations, plants, and synthetic compounds, as well as methods for their use for targeted clinical and veterinary applications, for example, in promoting health and well-being and enhancing vaccine efficacy. Also provided is an approach for optimization of synbiotic delivery of a probiotic or other dopamine producing product with a dopamine precursor to beneficially aid in the use of such products for a variety of conditions and diseases, and particularly in the field of vaccines, whether prophylactic or therapeutic.

Abstract: Described herein are systems relating to a continuous-flow instrument that includes all necessary components for digital droplet quantification without the need to introduce key reagents or collect and transfer droplets between stages of instrument operation. Digital quantification can proceed without any additional fluid or consumable handling and without exposing fluids to risk of external contamination.

Abstract: Disclosed are methods and systems for implementing an automated air quality analysis system. The system includes: a sealed enclosure, a filter sample analysis system disposed within the sealed enclosure, and a controller operably coupled with the filter sample analysis system. The filter sample analysis system includes: an automated filter management system with filter samples and an articulating robotic arm which selects the filter sample for analysis, a filter weighing apparatus for weighting of the filter sample, and a primary chemical analysis apparatus for performing electromagnetic energy spectroscopy measurement on the filter sample. The controller operates the automated filter management system to transport the filter sample to the filter weighing apparatus and the primary chemical analysis apparatus, obtains data from the filter sample analysis system, and determines the type and amount of accumulated mass in the sample based on the weight and the spectroscopy measurement result.

Abstract: Multi-stage distributed beamforming for distributed mosaic wireless networks is provided. Embodiments described herein present systems, devices, and methods that provide increased range, data rate, and robustness to interference and jamming. A distributed mosaic wireless network includes a transmitter, a receiver, and one or more distributed clusters of radios referred to herein as mosaics or relay mosaics. Each mosaic consists of several distributed, cooperative radio transceivers (e.g., mosaic nodes) that relay a signal sent by the transmitter towards the receiver. In some embodiments, a single-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to the receiver. In some embodiments, a multi-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to a second mosaic, which then relays this signal by beamforming to the receiver.

Abstract: Ventricular catheters and other embodiments are provided. The catheter for shunting fluid includes a tip end, a first portion, and a second portion. The first portion is between and in fluid communication with the tip end and the second portion. The first portion is configured to have a tapered shape. The first portion includes multiple rows of holes.

Abstract: A wearable exoskeleton comprising: a base; an articulable mechanical member configured to be secured to a portion of the human anatomy having a joint; a pulley motor secured to the base; a Bowden cable secured to the pulley motor and the articulable mechanical member; wherein the mechanical member is configured to articulate in response to the pulley motor imparting force to the Bowden cable.

Abstract: Example implementations of a neural network implementing a large language model for generating action plans that align with physical system dynamics of a cyber-physical system (CPS) but are also safe for the human users are disclosed. Examples include a physical dynamics coefficient estimator based on a liquid time constant neural network that can derive coefficients of dynamical models with some unmeasured state variables. Further, the model coefficients are then used to train an LLM with prompts embodied with traces from dynamical system and the corresponding model coefficients. When integrated with a contextualized chatbot, feasible and safe plans can be generated to manage external events such as meals for automated insulin delivery systems used by Type 1 Diabetes subjects.

Abstract: Microbial type rhodopsins, such as the light-gated cation-selective membrane channel, channelrhodopsin-2 (Chop2/ChR2) or the ion pump halorhodopsin (HaloR) are expressed in retinal ganglion cells upon transduction using recombinant AAV vectors. Selective targeting of these transgenes for expression in discrete subcellular regions or sites is achieved by including a sorting motif in the vector that can target either the central area or surround (off-center) area of these cells. Nucleic acid molecules comprising nucleotide sequences encoding such rhodopsins and sorting motifs and their use in methods of differential expression of the transgene are disclosed. These compositions and methods provide significant improvements for restoring visual perception and various aspects of vision, particular in patients with retinal disease.

Abstract: A system and method for passive collection of atmospheric carbon dioxide is disclosed. The system includes a harvest chamber having a first opening and a sorbent regeneration system. The system also includes a capture body coupled to and movable by a support structure. The capture body includes a sorbent material and is movable by the support structure to be in a collection configuration wherein at least a portion of the capture body is in contact with a natural airflow outside the harvest chamber such that atmospheric carbon dioxide is captured by the sorbent material, and a release configuration wherein at least a portion of the capture body holding captured carbon dioxide is operated upon by the regeneration system inside the harvest chamber such that captured carbon dioxide is released to form an enriched gas.

Abstract: Various aspects relate to a cell-free protein expression method. The method includes exposing a microorganism to substantially anaerobic growth conditions to produce a conditioned microorganism. The method further includes lysing the conditioned microorganism to produce a lysate. The method further includes combining the lysate with a nucleic acid and producing a protein of interest a metabolic pathway, a molecule, or a mixture thereof from the lysate.

Abstract: A magnet includes a stack of a plurality of superconducting pancake wound coils having a stacking axis normal to a winding direction of the coils. The stack has axial ends and has a stack midplane relative to the stacking axis. A quench detector is provided for detecting a quench in the stack of superconducting pancake wound coils. A plurality of resistance quench heaters (RQH) are distributed symmetrically along the axis with respect to the stack midplane. Control circuitry is provided for controlling the operation of the RQH upon the detection of a quench by the quench detector. A method of quenching a magnet is also disclosed.

Abstract: A speaker verification system includes an ultrasonic microphone generating electrical sound signal from an audio signal corresponding to both ultrasonic frequency sound and sub-ultrasonic frequency sound. A liveness detection module generates a high frequency energy distribution based on the electrical sound signal. The liveness module generates a verification result based on the high frequency energy distribution. A speaker verification module verifies the audio signal based on the high frequency energy distribution signals and a neural network architecture.

Abstract: A multi-hypervisor system, comprising: a plurality of hypervisors comprising a first hypervisor and a second hypervisor, at least one of the plurality of hypervisors being a transient hypervisor; and at least one Span VM, concurrently executing on each of the plurality of hypervisors, the at least one transient hypervisor being adapted to be dynamically at least one of injected and removed under the at least one Span VM concurrently with execution of the at least one Span VM on another hypervisor, wherein the at least one Span VM has a single and consistent at least one of memory space, virtual CPU state, and set of input/output resources, shared by the plurality of hypervisors.

Abstract: The present disclosure describes systems and methods for implementing input-adaptive neural networks. Several approaches and systems are presented for creating flexible and computationally-efficient deep neural networks that adapt their complexity based upon input data such as video streams. The approach may use fine-grained design and an automatic approach for generating optimal network architectures based on early-exit mechanisms. A neural network modified according to such principles can be implemented in various devices including mobile vision systems such as smartphones, drones, and head-mounted augmented reality devices.

Abstract: A new and distinct cultivar of Hydrangea plant named ‘SMNHAGOV’ is disclosed, characterized by large, abundant mophead inflorescences. Sepals open pale white-green, then mature to pure white. Stems are strong and thick, supporting large flower panicles. The new variety is a Hydrangea, typically produced as an outdoor ornamental plant.