Google Inc.

Quentin Lascombes De Laroussilhe

Zaheed Sabur

Denis Burakov

Andrea Terwisscha Van Scheltinga

Koa Metter

Vladyslav Lysychkin

Mikhail Golikov

Behshad Behzadi

Ibrahim Badr

Fredrik Bergenlid

Jyrki Antero Alakuijala

Andrea Gesmundo

Jeremiah Joseph Harmsen

Andrey Khorlin

Implementations relate to providing information items for display during a communication session. In some implementations, a computer-implemented method includes receiving, during a communication session between a first computing device and a second computing device, first media content from the communication session. The method further includes determining a first information item for display in the communication session based at least in part on the first media content. The method further includes sending a first command to at least one of the first computing device and the second computing device to display the first information item.

Assistance during audio and video calls

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a machine learning model that is trained to perform a machine learning task. In one aspect, a method comprises receiving a request to train a machine learning model on a set of training examples; determining a set of one or more meta-data values characterizing the set of training examples; using a mapping function to map the set of meta-data values characterizing the set of training examples to data identifying a particular machine learning model architecture; selecting, using the particular machine learning model architecture, a final machine learning model architecture for performing the machine learning task; and training a machine learning model having the final machine learning model architecture on the set of training examples.

Efficient machine learning model architecture selection

Growing community of inventors

Zurich, Switzerland

Quentin Lascombes De Laroussilhe