University of California

Other

Niantic Spatial, Inc.

Yuan Zhang

Timothy F Kennedy

Marc Tessier-Lavigne

Tito A Serafini

David Leonardo

Anne Shyjan

Candace Swimmer

Guillermo C Bazan

Thuc-Quyen Nguyen

Lei Ying

Herbert Law

Peter Zalar

Hang Tan

Yuanjian Carla Li

A machine learning model classifies points of interest in a parallel reality game hosted by a server. The server generates training data sets that include verified properties for points of interest. The machine learning model may predict unverified properties for points of interest. Players in the parallel reality game may input properties for the points of interest. The machine learning model use the received properties from players as inputs to the machine learning model to verify unverified properties or generate new properties for the points of interest. The server may classify the points of interest as suitable for particular activities, and the server may use the classifications for future activities within the parallel reality game.

Classifying real-world points of interest in a parallel virtual world

Methods and compositions to improve the performance of single-component polymer FETs is provided comprising processing a conjugated polymer in the presence of a processing additive. Also provided is a FET device fabricated with a processing additive. Such devices have increased saturation hole and/or electron mobility compared to a control FETs.

Processing additive for single-component solution processed organic field-effect transistors

Specific netrin proteins, nucleic acids which encode netrin proteins and hybridization reagents, probes and primers capable of hybridizing with netrin genes and methods for screening chemical libraries for lead compounds for pharmacological agents useful in the diagnosis or treatment of disease associated undesirable cell growth are provided. An exemplary screen involves forming a mixture comprising a recombinant netrin protein, a natural intracellular netrin protein binding target, and a candidate pharmacological agent; incubating the mixture under conditions whereby, but for the presence of said candidate pharmacological agent, said netrin protein selectively binds said binding target; and detecting the presence or absence of specific binding of said netrin protein to said binding target.

Polynucleotide encoding human netrin-1

Human netrin-1

Growing community of inventors

San Francisco, CA, United States of America

Yuan Zhang