Google Inc.

Tusimple, Inc.

University of California

Harvard College

Qualcomm Incorporated

Kopin Corporation

Illumina Corporation

Qualcomm Innovation Center, Inc.

Other

Kun Zhang

Yu He

Xiaoling Han

Zehua Huang

George M Church

Charles A Price

Yingwei Cui

Cristos Jon Goodrow

Jeffrey Adgate Dean

Kai Chen

Gregory Sean Corrado

Bahman Rabii

Yu-Ju Hsu

Joseph M Chou

Yi Zhang

Prashant G Mali

Kenneth Charles Barnett

Andrew M Dai

Frederick P Herrmann

Li Wei

Eyal Oren

Xinmei Cai

Patrik Sundberg

Yan Wu

Quoc V Le

James Wilson

Jian-Bing Fan

Subrato Kumar De

Nissan Hajaj

Alvin Rishi Rajkomar

Xiaodan Song

Daniel Joseph Clancy

Peter Junteng Liu

Willa Angel Chen

Dineel Diwakar Sule

Zhujia Shi

Benjamin Irvine

James Wexler

Mohamed Hassan Ahmed Hassan Wahba

Frederic Rocha

William Martin Halpin, Jr

Hector Yee

Michaela Hardt

Xiaomi Sun

Xiaobing Liu

Junjun Xin

Alexander Mossin

Udit Parekh

Tobias Maurer

Kurt Litsch

Gerardo Flores

Tianjiu Yin

Jacob Marcus

Qiong Xu

Gavin Duggan

Yicai Jiang

Varun Kacholia

Mark Bapst

Nitin Khandelwal

Dengyong Zhou

Aparna Chennapragada

Omer Bar-or

Kevin Chang

Xiaohua C Huang

Shyama Prasad Mondal

Nicola Muscettola

Harish S Muthali

Patrick Hung

Nan Du

Minya Dai

Zhiyi Xie

Yuan Xue

Amir Dailamy

Daniella McDonald

Song Chen

Zhen Xu

Dongxin Zhao

Michael Hu

Jonathan Eng

Weina Mao

Dinh Diep

Xiaohua Huang

Kevin Dongsoo Chang

Jeffrey Gole

This disclosure relates to methods, polynucleotides, vectors, viral particles, cells, and systems or the engineering of human tissues. One aspect of the disclosure relates to using lineage-specific miRNA binding molecules to bias tissue lineage. Another aspect of the disclosure relates to using lineage-specific transcription factor overexpression to bias tissue lineage.

Method to engineer transplantable human tissues

The invention provides scalable methods for measuring chromatin accessibility and RNA expression in the same single cells by connecting chromatin accessibility and transcriptome. Specifically, the disclosure provides a methods for concurrent characterization of gene expression levels and epigenetic landscape within a single cell comprising determining chromatin accessibility and RNA expression in the cell with a splint oligonucleotide.

Method to connect chromatin accessibility and transcriptome

Systems and methods for attributing a scroll event are described herein. The system can provide, to a client device, an infinite scroll attribution script. The script can cause the client device to set a dimension of an inline frame, embedded with a content document, of an page to a dimension corresponding to a viewport of an application and determine, responsive to detecting a scroll event, that a first offset between a first content document end and a first viewport end is less than or equal to a first predetermined threshold. The script can further cause the client device to determine, responsive to detecting the scroll event, that a second offset between a second content document end and a second viewport end is greater than or equal to a second threshold and assign the scroll event to the inline frame responsive to the determinations of the first and second offsets.

Systems and methods for attributing a scroll event in an infinite scroll graphical user interface

A deep state space generative model is augmented with intervention prediction. The state space model provides a principled way to capture the interactions among observations, interventions, critical event occurrences, true states, and associated uncertainty. The state space model can include a discrete-time hazard rate model that provides flexible fitting of general survival time distributions. The state space model can output a joint prediction of event risk, observation and intervention trajectories based on patterns in temporal progressions, and correlations between past measurements and interventions.

Machine-learned state space model for joint forecasting

Described are devices, systems and methods for managing a supplemental brake control system in autonomous vehicles. In some aspects, a supplemental brake management system includes brake control hardware and software that operates with a sensing mechanism for determining the brake operational status and a control mechanism for activating the supplemental brake control in an autonomous vehicle, which can be implemented in addition to the vehicle's primary brake control system.

Supplemental braking control system in autonomous vehicles

Presented are methods and compositions for obtaining sequence information from one or more individual cells. The methods are useful for obtaining sequence information for a single nucleotide sequence, and for multiplex generation of sequence information from one or more individual cells.

Methods and compositions for single cell genomics

Compositions and methods for making a plurality of probes for analyzing a plurality of nucleic acid samples are provided. Compositions and methods for analyzing a plurality of nucleic acid samples to obtain sequence information in each nucleic acid sample are also provided.

Methods for making nucleotide probes for sequencing and synthesis

Devices, systems, and methods for a vehicular safety system in autonomous vehicles are described. An example method for safely controlling a vehicle includes selecting, based on a first control command from a first vehicle control unit, an operating mode of the vehicle, and transmitting, based on the selecting, the operating mode to an autonomous driving system, wherein the first control command is generated based on input from a first plurality of sensors, and wherein the operating mode corresponds to one of (a) a default operating mode, (b) a minimal risk condition mode of a first type that configures the vehicle to pull over to a nearest pre-designated safety location, (c) a minimal risk condition mode of a second type that configures the vehicle to immediately stop in a current lane, or (d) a minimal risk condition mode of a third type that configures the vehicle to come to a gentle stop.

Vehicle safety system for autonomous vehicles

Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

Vehicle weight distribution determination

This disclosure relates to adaptive recommendations for user-generated mediasets. A mediaset component provides for users to generate mediasets. A user-generated mediaset can include a user-generated playlist or a user-generated media channel. A monitoring component monitors consumption of media, e.g., by a consumer. A relatedness component determines a set of the user-generated mediasets that are related to the media consumed by the consumer. A recommendation component recommends a subset of the user-generated mediasets based on a set of criteria. A rights management component determines a set of authorizations of the consumer for respective media content associated with the set of user-generated mediasets, and takes at least one action based on the set of authorizations, e.g., updating one of the mediasets based on the set of authorizations.

Adaptive recommendations of user-generated mediasets

The disclosed technology enables automated parking of an autonomous vehicle. An example method of performing automated parking for a vehicle comprises obtaining, from a plurality of global positioning system (GPS) devices located on or in an autonomous vehicle, a first set of location information that describes locations of multiple points on the autonomous vehicle, where the first set of location information are associated with a first position of the autonomous vehicle, determining, based on the first set of location information and a location of the parking area, a trajectory information that describes a trajectory for the autonomous vehicle to be driven from the first position of the autonomous vehicle to a parking area, and causing the autonomous vehicle to be driven along the trajectory to the parking area by causing operation of one or more devices located in the autonomous vehicle based on at least the trajectory information.

Automated parking technology

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

System and method for predicting and summarizing medical events from electronic health records

A guide RNA comprising: a gRNA spacer sequence at the 5′ end of the guide RNA, wherein the spacer sequence is complementary to a target gene, a scaffold sequence that binds to Cas9, and an RNA capture and sequencing domain comprising: a barcode sequence, and a primer binding sequence; nucleic acids and vectors encoding the guide RNA; cells expressing the guide RNA; and a library comprising a plurality of guide RNAs. Also disclosed are methods of introducing a genetic perturbation into a cell, methods of assessing an effect of at least one genetic perturbation on RNA expression in a cell, methods of identifying nucleic acid sequences associated with a disease state and a method of identifying candidate therapeutic agents.

Efficient genetic screening method

Understanding the complex effects of genetic perturbations on cellular state and fitness in human pluripotent stem cells (hPSCs) has been challenging using traditional pooled screening techniques which typically rely on unidimensional phenotypic readouts. Here, Applicants use barcoded open reading frame (ORF) overexpression libraries with a coupled single-cell RNA sequencing (scRNA-seq) and fitness screening approach, a technique we call SEUSS (ScalablE fUnctional Screening by Sequencing), to establish a comprehensive assaying platform. Using this system, Applicants perturbed hPSCs with a library of developmentally critical transcription factors (TFs), and assayed the impact of TF overexpression on fitness and transcriptomic cell state across multiple media conditions. Applicants further leveraged the versatility of the ORF library approach to systematically assay mutant gene libraries and also whole gene families. From the transcriptomic responses, Applicants built genetic co-perturbation networks to identify key altered gene modules. Strikingly, we found that KLF4 and SNAI2 have opposing effects on the pluripotency gene module, highlighting the power of this method to characterize the effects of genetic perturbations. From the fitness responses, Applicants identified ETV2 as a driver of reprogramming towards an endothelial-like state.

Methods for screening genetic perturbations

Growing community of inventors

San Diego, CA, United States of America

Kun Zhang