Google Inc.

Yeda Research and Development Co. Ltd.

Eran Ofek

Yossi Matias

Vladimir Vuskovic

David Kogan

Richard D Borovoy

Michael Fink

Tomer Shmiel

Idan Szpektor

Ziv Bar-Yossef

Asaf Revach

Deborah Cohen

Shimon Or Salant

Andrew Callahan

Andrew Richardson

Eldad Barkai

Jonathan Berant

Haran Pilpel

Avishay Gal-Yam

Barak Zackay

Benedict A Gomes

Lev Finkelstein

Amitabh Singhal

Tal Cohen

Alexander Sobol

Oren Naim

Nitsan Oz

Gil Simha Briskin

Isaac Elias

Asaph Arnon

Shaul Markovitch

Artiom Myaskouvskey

Anna Bendersky

Zvi Ben-Haim

Matan Kalman

Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.

Generating a composite response to natural language input using a trained generative model and based on responsive content from disparate content agents

Selectively generating expanded responses that guide continuance of a human-to-computer dialog

A System and a method for processing at least two M-dimensional data-measurements (DMs) of a physical-property for detecting one or more new-objects and/or a transition of one or more known-objects, in complex constant-background DMs, using at least one processor and at least one memory element, the method comprising: generating a filtered-new-DM by match-filtering a new-DM, respective to impulse response of a reference-DM; generating a filtered-reference-DM by match-filtering the reference-DM, respective to impulse response of the new-DM; generating an M-dimensional object-indicator (OI) by subtracting the filtered-reference-DM from the filtered-new-DM, or vice versa; and generating an M-dimensional data score (DS) from the M-dimensional OI, where each of the scores is a probe for existence of an object at a specific M-dimensional location.

Detection of point sources with variable emission intensity in sequences of images with different point spread functions

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying topical entities. In one aspect, a method includes obtaining a plurality of entities that are associated with a first resource; for one or more of the identified entities, receiving search results for a search query derived from the entity; determining that search results for a search query including a particular entity include a specific type of search results; and determining that the particular entity is a topical entity of the first resource based at least in part on the particular entity appearing in a title or a resource locator of the first resource, wherein the topical entity of the first resource represents a predominant topic of the first resource.

Identifying topical entities

A method for detecting a dispersed pulse in a received signal that has been dispersed by a dispersive medium includes obtaining an input array of cells, each indicating an intensity of a frequency component of the signal at a representative time. A fast dispersion measure transform (FDMT) is applied to concurrently sum the cells of the input array that lie along different dispersion curves, each curve defined by a known non-linear functional form and being uniquely characterized by a time coordinate and by a value of the dispersion measure. Application of FDMT includes initially generating a plurality of sub-arrays, each representing a frequency sub-band and iteratively combining pairs of adjacent sub-arrays in accordance with an addition rule until all of the initially generated plurality of sub-arrays are combined into an output array of the sums, in which a cell of the output array that is indicative of a transmitted pulse is identified.

Detection of a dispersed pulse signal

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing answer boxes based on query results. One of the methods includes receiving seed queries for an answer box; analyzing query log information, wherein analyzing query log information comprises identifying query results that have been provided in response to the seed queries; identifying one or more of the query results as answer box indicators based on the analyses of the query log information, wherein the answer box indicators are indicators for the answer box; and storing data identifying the one or more query results as answer box indicators for the answer box.

Providing answer boxes based on query results

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying central entities. In one aspect, a method includes obtaining candidate entities for a first resource; filtering a first entity graph whose nodes represent different entities found in a plurality of resources to remove nodes that do not correspond to a candidate entity, wherein pairs of nodes in the filtered first entity graph that are connected by an edge correspond to pairs of candidate entities that are associated with the same resource; generating a second entity graph for the first resource from the filtered first entity graph, wherein the second entity graph does not include nodes from the filtered first entity graph that are not connected to other nodes in the filtered first graph; and identifying candidate entities that are represented by nodes in the second entity graph as being central entities for the first resource.

Identifying central entities

The present invention relates to the identification of alternative suggestions which potentially improve on a given query suggestion, without being perceived by a user as being offensively different from the user's query. The alternative suggestions may for example be different query formulations that relate to the same topic as that of the given query suggestion. The technology disclosed uses similarity screening of the given query suggestion against unique queries which do not include the given query suggestion as a prefix, in conjunction with query utility scores representing prior user response to the unique queries.

Modifying a user query to improve the results

Growing community of inventors

Rehovot, Israel

Eran Ofek