Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a student machine learning model using a teacher machine learning model that has a pre-trained feature extractor.

Abstract: Aspects of the disclosure provide for the identification of parkable areas. In one instance, observations of parked vehicles may be identified from logged data. The observations may be used to determine whether a sub-portion of an edge of a roadgraph corresponds to a parkable area. In some examples, the edge may define a drivable area in the roadgraph. In addition, map information is generated based on the determination of whether the sub-portion of the edge corresponds to the parkable area.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for searching an autonomous vehicle sensor data repository. One of the methods includes maintaining a collection of sensor samples and one or more embeddings of each sensor sample. Each sensor sample is generated from sensor data at multiple time steps and characterizes an environment at each of the multiple time steps. Each embedding corresponds to a respective portion of the sensor sample and has been generated by an embedding neural network. A query specifying a query portion of a query sensor sample is received. A query embedding corresponding to the query portion of the query sensor sample is generated through the embedding neural network. A plurality of relevant sensor samples that have embeddings that are closest to the query embedding are identified as characterizing similar scenarios to the query portion of the query sensor sample.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.

Abstract: The present disclosure relates to the technical field of display devices, in particular, to a rear housing assembly and a display device. The rear housing assembly includes: a rear housing, a back plate, and a connecting assembly. The back plate and the rear housing are disposed oppositely in a thickness direction of the display device. The connecting assembly includes a first connecting part and a second connecting part. One of the first connecting part and the second connecting part is coupled to the rear housing, and the other is coupled to the back plate. The first connecting part includes a limiting cavity extending in the thickness direction, the second connecting part includes a limiting engaging portion, the limiting engaging portion extends into the limiting cavity, and the limiting engaging portion is engaged with the first connecting part.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a point cloud augmentation policy and training a machine learning model using the point cloud augmentation policy to perform a perception task such as object detection or classification task by processing point cloud data. In general, training a machine learning model using the determined point cloud augmentation policy enables the model to more effectively perform the perception task, i.e., by generating higher quality perception outputs. When deployed within an on-board system of a vehicle, the machine learning model can further enable the on-board system to generate better-informed planning decisions which in turn result in a safer journey, even when the vehicle is navigating through unconventional environments or inclement weathers such as rain or snow.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a spatio-temporal embedding of a sequence of point clouds. One of the methods includes obtaining a temporal sequence comprising a respective point cloud input corresponding to each of a plurality of time points, each point cloud input comprising point cloud data generated from sensor data captured by one or more sensors of a vehicle at the respective time point; processing each point cloud input using a first neural network to generate a respective spatial embedding that characterizes the point cloud input; and processing the spatial embeddings of the point cloud inputs using a second neural network to generate a spatio-temporal embedding that characterizes the point cloud inputs in the temporal sequence.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including once weekly administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including lipodystrophy, dyslipidemia, hyperlipidemia, overweight, obesity, hypothalamic amenorrhea, Alzheimer's disease, leptin deficiency, fatty liver disease or diabetes (including type I and type II). Additional diseases and disorders which can be treated by the compounds and methods described herein include nonalcoholic steatohepatitis (NASH) and nonalcoholic fatty liver disease (NAFLD), metabolic syndrome X and Huntington's Disease.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for jointly training an image embedding model and a text embedding model. In one aspect, a method comprises: processing data from a historical query log of a search system to generate a candidate set of training examples, wherein each training example comprises: (i) a search query comprising a sequence of one or more words, (ii) an image, and (iii) selection data characterizing how often users selected the image in response to the image being identified by a search result for the search query; selecting a plurality of training examples from the candidate set of training examples; and using the training data to jointly train the image embedding model and the text embedding model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for searching an autonomous vehicle sensor data repository. One of the methods includes maintaining a collection of sensor samples and, for each sensor sample, an embedding of the sensor sample; receiving a request specifying a query sensor sample, wherein the query sensor sample characterizes a query environment region; and identifying, from the collection of sensor samples, a plurality of relevant sensor samples that characterize similar environment regions to the query environment region, comprising: processing the query sensor sample through the embedding neural network to generate a query embedding; and identifying, from sensor samples in a subset of the sensor samples in the collection, a plurality of sensor samples that have embeddings that are closest to the query embedding.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including oral administration, and reduced immunogenicity. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including obesity and overweight, diabetes, dyslipidemia, hyperlipidemia, Alzheimer's disease, fatty liver disease, Short Bowel Syndrome, Parkinson's disease, and cardiovascular disease.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including once weekly administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including lipodystrophy, dyslipidemia, hyperlipidemia, overweight, obesity, hypothalamic amenorrhea, Alzheimer's disease, leptin deficiency, fatty liver disease or diabetes (including type I and type II). Additional diseases and disorders which can be treated by the compounds and methods described herein include nonalcoholic steatohepatitis (NASH) and nonalcoholic fatty liver disease (NAFLD), metabolic syndrome X and Huntington's Disease.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including once weekly administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including lipodystrophy, dyslipidemia, hyperlipidemia, overweight, obesity, hypothalamic amenorrhea, Alzheimer's disease, leptin deficiency, fatty liver disease or diabetes (including type I and type II). Additional diseases and disorders which can be treated by the compounds and methods described herein include nonalcoholic steatohepatitis (NASH) and nonalcoholic fatty liver disease (NAFLD), metabolic syndrome X and Huntington's Disease.

Abstract: Accurately quantifying optical absorption coefficient using acoustic spectra of photoacoustic signals. Optical absorption is closely associated with many physiological parameters, such as the concentration and oxygen saturation of hemoglobin, and it can be used to quantify the concentrations of non-fluorescent molecules. A sample is illuminated by, for example, a pulsed laser and following the absorption of optical energy, a photoacoustic pressure is generated via thermo-elastic expansion. The acoustic waves then propagate and are detected by a transducer. The optical absorption coefficient of the sample is quantified from spectra of the measured photoacoustic signals. Factors, such as system bandwidth and acoustic attenuation, may affect the quantification but are canceled by dividing the acoustic spectra measured at multiple optical wavelengths.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including oral administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including obesity and overweight, diabetes, dyslipidemia, hyperlipidemia, Alzheimer's disease, fatty liver disease, short bowel syndrome, Parkinson's disease, cardiovascular disease, and other and disorders of the central nervous system.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including oral administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including obesity and overweight, diabetes, dyslipidemia, hyperlipidemia, Alzheimer's disease, fatty liver disease, short bowel syndrome, Parkinson's disease, cardiovascular disease, and other and disorders of the central nervous system.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including once weekly administration. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including lipodystrophy, dyslipidemia, hyperlipidemia, overweight, obesity, hypothalamic amenorrhea, Alzheimer's disease, leptin deficiency, fatty liver disease or diabetes (including type I and type II). Additional diseases and disorders which can be treated by the compounds and methods described herein include nonalcoholic steatohepatitis (NASH) and nonalcoholic fatty liver disease (NAFLD), metabolic syndrome X and Huntington's Disease.

Abstract: Compounds are provided having inter alia good duration of action, high potency and/or convenient dosing regimens including oral administration, and reduced immunogenicity. The compounds are engineered polypeptides which incorporate an albumin binding domain in combination with one or more biologically active polypeptides. Also provided are pharmaceutical compositions and methods of treatment for diseases and disorders including obesity and overweight, diabetes, dyslipidemia, hyperlipidemia, Alzheimer's disease, fatty liver disease, Short Bowel Syndrome, Parkinson's disease, and cardiovascular disease.