Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes training, through reinforcement learning, a node placement neural network that is configured to, at each of a plurality of time steps, receive an input representation comprising data representing a current state of a placement of a netlist of nodes on a surface of an integrated circuit chip as of the time step and process the input representation to generate a score distribution over a plurality of positions on the surface of the integrated circuit chip.

Abstract: A photonics package may include a substrate, a hanging connector, and a fast-axis collimator (“FAC”). The hanging connector is typically affixed to a side of the substrate other than the side through which a light output is emitted. The hanging connector may be L-shaped in cross-section, having a base section and an extended section projecting from the base section. The base section affixes to the substrate while the extended section affixes to the FAC, so that the FAC extends downward along the emitter surface of the substrate; a vertex of the FAC is coplanar with an emitter outputting the light output.

Abstract: Example aspects of the present disclosure are directed to systems and methods for generation of improved language embeddings (e.g., entity embeddings for natural language tokens) which provide improved model performance. In addition, the proposed techniques require less computational consumption relative to previous approaches.

Abstract: A device mount for a mobile device includes an integrated power delivery management assembly that provides a convenient and versatile solution for connection between the mobile device and an external device, where the external device may or may not be compatible with USB Type-C Power Delivery protocols. The power delivery management assembly determines, by a power delivery detect circuit, a power delivery status of the external device and configures itself accordingly. When the external device is Power Delivery incapable, the power delivery management assembly facilitates USB Type-C Power Delivery protocol between the external device and the mobile device on behalf of the external device. When the external device is Power Delivery capable, the power delivery management assembly configures itself into a “pass-through” mode to allow the external device and the mobile device to negotiate USB Type-C Power Delivery.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a network request from a computing device, the network request including a company identifier, an estimated time of arrival (ETA), and a location of interest (LOI); computing a first score based on an actual ETA of at least one vehicle associated with the company identifier; computing a second score based on an hours of service value associated with a driver of the at least one vehicle; computing a third score based on a direction of the at least one vehicle; and aggregating the first, second, and third score to generate a total matching score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present invention relates to CRISPR/Cas-based biosensing materials, assays and methods. In particular the technology relates to ultrasensitive CRISPR/Cas-based methods suitable for microbial detection, detection of cells or cellular components, small molecules, cytokines, polypeptides and various other biomarkers. The materials and methods according to the invention may also be used to enhance the sensitivity of existing bioassays.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a predicted structure of a protein that is specified by an amino acid sequence. In one aspect, a method comprises: obtaining a multiple sequence alignment for the protein; determining, from the multiple sequence alignment and for each pair of amino acids in the amino acid sequence of the protein, a respective initial embedding of the pair of amino acids; processing the initial embeddings of the pairs of amino acids using a pair embedding neural network comprising a plurality of self-attention neural network layers to generate a final embedding of each pair of amino acids; and determining the predicted structure of the protein based on the final embedding of each pair of amino acids.

Abstract: Surface changes are estimated using multiple speckle interferograms acquired using beams incident at different angles. Beam irradiation conditions can be changed to increase signal to noise ratio with averaging, such as weighted averaging. Irradiation conditions can be varied with a tilt plate, a wedge, or by changing beam wavelengths.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a hardware datapath for a hardware accelerator computer chip.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. A method includes: training a neural network having a plurality of network parameters to perform a particular neural network task and to determine trained values of the network parameters using an iterative training process having a plurality of hyperparameters, the method comprising: maintaining a plurality of candidate neural networks and, for each of the candidate neural networks, data specifying: (i) respective values of the network parameters for the candidate neural network, (ii) respective values of the hyperparameters for the candidate neural network, and (iii) a quality measure that measures a performance of the candidate neural network on the particular neural network task; and for each of the plurality of candidate neural networks, repeatedly performing additional training operations.

Abstract: A system for measuring a target grating includes an illumination source, a reference transmission grating, a pupil filter, and a detector. The illumination source is disposed to generate an incident light beam that illuminates the reference transmission grating. The reference transmission grating splits the incident light beam into a plurality of diffraction orders. The plurality of diffraction orders interrogates a target grating. The reference transmission grating and the target grating are parallel. The pupil filter allows transmission of a subset of diffraction orders of light that has been diffracted and/or reflected from the target grating after being split again by passing through the reference transmission grating. The detector takes a measurement of the subset of diffraction orders of light after transmission through the pupil filter.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting a structure of a protein that comprises a plurality of amino acid chains using a protein structure prediction neural network, where each chain comprises a respective sequence of amino acids. In one aspect, a method comprises: receiving a network input for the protein structure prediction neural network, wherein the network input characterizes the protein; processing the network input characterizing the protein using the protein structure prediction neural network to generate a network output that characterizes a predicted structure of the protein; and determining the predicted structure of the protein based on the network output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a predicted structure of a protein that is specified by an amino acid sequence. In one aspect, a method comprises: obtaining a multiple sequence alignment for the protein; determining, from the multiple sequence alignment and for each pair of amino acids in the amino acid sequence of the protein, a respective initial embedding of the pair of amino acids; processing the initial embeddings of the pairs of amino acids using a pair embedding neural network comprising a plurality of self-attention neural network layers to generate a final embedding of each pair of amino acids; and determining the predicted structure of the protein based on the final embedding of each pair of amino acids.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Described herein are one or more methods for integrating an optical component into an integrated photonics device. The die including a light source, an outcoupler, or both, may be bonded to a wafer having a cavity. The die can be encapsulated using an insulating material, such as an overmold, that surrounds its edges. Another (or the same) insulating material can surround conductive posts. Portions of the die, the overmold, and optionally, the conductive posts can be removed using a grinding and polishing process to create a planar top surface. The planar top surface enables flip-chip bonding and an improved connection to a heat sink. The process can continue with forming one or more additional conductive layers and/or insulating layers and electrically connecting the p-side and n-side contacts of the laser to a source.

Abstract: A photonics package may include a substrate, a hanging connector, and a fast-axis collimator (“FAC”). The hanging connector is typically affixed to a side of the substrate other than the side through which a light output is emitted. The hanging connector may be L-shaped in cross-section, having a base section and an extended section projecting from the base section. The base section affixes to the substrate while the extended section affixes to the FAC, so that the FAC extends downward along the emitter surface of the substrate; a vertex of the FAC is coplanar with an emitter outputting the light output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: A liposomal system for delivery of an active agent comprising: lipid component forming a liposome; destabilizing agent associated with the lipid component, the destabilizing agent capable of forming reactive oxygen species to oxidise unsaturated lipids and destabilise liposomal membrane; and an active agent; wherein the active agent is releasable from the liposome by exposure to high energy electromagnetic radiation.