Abstract: An ICP source (100) for generating ions using an inductively coupled plasma is configured to be coupled to a mass spectrometer (200). The sample is introduced into the plasma along a downwards-pointing vertical direction (G) under the action of gravity. In this manner, the sample can reach the plasma regardless of its condition, e.g., regardless of droplet or particle size. Transport efficiencies of up to 100% can be achieved. The ICP source can be supplied with a continuous stream comprising the sample.

Abstract: Methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject's face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).

Abstract: Embodiments of the present disclosure are directed to methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Methods accord to embodiments may be useful for performing facial capture on subjects with dense facial hair. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject's face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).

Abstract: A method for determining the 6D pose of a camera used to acquire an image of a scene using a point cloud of the scene includes a plurality of consecutive iterations each associated with a level of a plurality of consecutive levels. The method includes obtaining an initial 6D pose, obtaining one feature map having the same resolution as the image, —obtaining one plurality of features, wherein each feature of the plurality of features is associated with a respective point of the point cloud, determining an error between the features, minimizing the determined error for the 6D pose to obtain an intermediary 6D pose, and determining the 6D pose.

Abstract: A sensor device comprises a plurality of pixels each configured to receive light and perform photoelectric conversion to generate an electrical signal, and circuitry that is configured to detect as event data intensity changes above a predetermined threshold of the light received by each of a first subset of the pixels, generate a pixel signal indicating intensity values of the received light for each pixel of a second subset of the pixels, start detection of event data at a first point in time earlier than generation of pixel signals at a second point in time, and reconstruct intensity values for the second subset of pixels for a time period between the first point in time and the second point in time by using the pixel signals generated after the second point in time and the event data detected before the second point in time.

Abstract: A technique for performing style transfer between a content sample and a style sample is disclosed. The technique includes applying one or more neural network layers to a first latent representation of the style sample to generate one or more convolutional kernels. The technique also includes generating convolutional output by convolving a second latent representation of the content sample with the one or more convolutional kernels. The technique further includes applying one or more decoder layers to the convolutional output to produce a style transfer result that comprises one or more content-based attributes of the content sample and one or more style-based attributes of the style sample.

Abstract: A sensor assembly adapted to be embedded in a concrete structure comprising a body, and at least one sensor configured to determine parameters related to the durability of a concrete structure, wherein the sensor is arranged at least partially within the body, wherein the body comprises a shell covering the outer surface of the body and consisting of or comprising a mineral material, and wherein the sensor assembly has a rounded shape, particularly an ellipsoid or spherical shape, and a first extension extending along a first axis being 90 mm or less. A concrete structure is also provided having at least one sensor assembly.

Abstract: In some embodiments, a method receives a quantized latent representation of an image in a latent space. The image is encoded into a representation in the latent space and quantized to generate the quantized latent representation. A time step parameter is received that is generated based on the representation. The method performs an inverse quantization process to generate a reconstructed representation. A diffusion model performs a denoising process for a number of iterations based on the time step parameter to remove noise from the reconstructed representation to generate a denoised reconstructed representation. The denoised reconstructed representation is decoded into a reconstructed image.

Abstract: The use of amyloid fibrils for providing nutritional minerals to the human body, particularly as a component in a food product, a dietary supplement or in a pharmaceutical product. Compositions including composite materials of amyloid fibrils and nutritional minerals. The use of such composite materials in the treatment of diseases and disorders and to the fortification of food and dietary supplements with nutritional minerals.

Abstract: A neural network, a system using this neural network and a method for training a neural network to output a description of the environment in the vicinity of at least one sound acquisition device on the basis of an audio signal acquired by the sound acquisition device, the method including: obtaining audio and image training signals of a scene showing an environment with objects generating sounds, obtaining a target description of the environment seen on the image training signal, inputting the audio training signal to the neural network so that the neural network outputs a training description of the environment, and comparing the target description of the environment with the training description of the environment.

Abstract: In some embodiments, a method trains a first parameter of a differentiable proxy codec to encode source content based on a first loss between first compressed source content and second compressed source content that is output by a target codec. A pre-processor pre-processes a source image to output a pre-processed source image, the pre-processing being based on a second parameter. The differentiable proxy codec encodes the pre-processed source image into a compressed pre-processed source image based on the first parameter. The method determines a second loss between the source image and the compressed pre-processed source image and determines an adjustment to the first parameter based on the second loss. The adjustment is used to adjust the second parameter of the pre-processor based on the second loss.

Abstract: A system includes a machine learning (ML) model-based video downsampler configured to receive an input video sequence having a first display resolution, and to map the input video sequence to a lower resolution video sequence having a second display resolution lower than the first display resolution. The system also includes a neural network-based (NN-based) proxy video codec configured to transform the lower resolution video sequence into a decoded proxy bitstream. In addition, the system includes an upsampler configured to produce an output video sequence using the decoded proxy bitstream.

Abstract: In some embodiments, a method receives a video including interlaced frames. Second fields for a second frame and the second fields for a third frame are analyzed to determine estimated second fields for the first frame in an image space. The method converts the first fields and the estimated second fields for the first frame into first features and second features, respectively, in a feature space. The estimated second features are determined for the estimated second fields for the first frame based on the first features for the first frame. Backward features from the second frame and forward features from the third frame are used to determine the estimated second features for the first frame. The method outputs a prediction for the estimated second fields for the first frame based on the estimated second features and generates a first frame with the first fields and estimated second fields.

Abstract: The present invention relates to a T cell comprising an engineered TCR-CD3 complex, wherein (a) binding of the engineered TCR-CD3 complex by a CD3 agonist results in a similar level of T cell activation compared to a T cell comprising a non-engineered TCR-CD3 complex; and (b) binding of the engineered TCR-CD3 complex by a cognate peptide-MHC complex results in a reduced level of T cell activation compared to a T cell comprising a non-engineered TCR-CD3 complex. Further encompassed are compositions comprising the T cell according to the invention and methods of uses thereof.

Abstract: In some embodiments, a grain analysis system is configured for analyzing a first video frame and outputting respective first film grain information for film grain that is included in the first video frame or configured for analyzing a second video frame and outputting second film grain information. At least one of a grain removal system and a grain synthesis system is included. The grain removal system is configured for removing the film grain from the first video frame using the first film grain information to generate a third video frame corresponding to the first video frame with film grain removed. The grain analysis system is separate from the grain removal system. The grain synthesis system is configured for synthesizing film grain for the third video frame using the first film grain information or the second film grain information. The grain analysis system is separate from the grain synthesis system.

Abstract: A magnetic resonance device comprises a sample spinning apparatus (20) configured to spin a sample (30) about a sample spinning axis (R), the sample spinning apparatus being configured to exert a torque on the sample by interaction of the sample with an electromagnetic sample spinning field.

Abstract: According to a first aspect of the invention, a method for the generation of a cell line is provided, comprising the steps of (a) providing a plurality of mammalian B cells, wherein each of the plurality of B cells comprises a transgenic genomic DNA sequence encoding a marker protein inserted into an endogenous immunoglobulin locus comprised in said B cell, and wherein the transgenic genomic DNA sequence is amenable to cleavage by a site directed nuclease, particularly Cas9; (b) replacing the transgenic genomic DNA sequence encoding a marker protein with a second transgenic DNA sequence encoding a protein of interest; (c) sorting B cells based on the presence or absence of the marker protein; and (d) collecting B cells in which the marker protein is absent.

Abstract: Embodiment of the present invention sets forth techniques for performing face reconstruction. The techniques include generating an identity mesh based on an identity encoding that represents an identity associated with a face in one or more images. The techniques also include generating an expression mesh based on an expression encoding that represents an expression associated with the face in the one or more images. The techniques also include generating, by a machine learning model, an output mesh of the face based on the identity mesh and the expression mesh.

Abstract: A technique for rendering an input geometry includes generating a first segmentation mask for a first input geometry and a first set of texture maps associated with one or more portions of the first input geometry. The technique also includes generating, via one or more neural networks, a first set of neural textures for the one or more portions of the first input geometry. The technique further includes rendering a first image corresponding to the first input geometry based on the first segmentation mask, the first set of texture maps, and the first set of neural textures.

Abstract: An ink composition for additive manufacturing comprises at least a first phase, the first phase being a liquid phase, and inorganic particles being distributed in the first phase. The inorganic particles are redox active. The first phase furthermore comprises at least one organic processing additive. In a method of additive manufacturing a structure for use in a thermochemical fuel production process and/or in a heat transfer application, said ink composition is deposited so as to form a precursor structure, and said precursor structure is subjected to at least one thermal treatment so as to form the structure for use in the thermochemical fuel production process and/or in the heat transfer application.