Intel Corporation

Guy Jacob

Tomer Bar-On

Jeremie Dreyfuss

Yaniv Fais

Lev Faivishevsky

Jacob Subag

Amit Bleiweiss

Michael Behar

Gal Leibovich

Itamar Ben-Ari

Ehud Cohen

Tomer Schwartz

Amitai Armon

Uzi Sarel

Galina Ryvchin

Yahav Shadmiy

Eyal Yaacoby

Eran Ben-Avi

Zigi Walter

Neta Zmora

Orly Weisel

Shira Hirsch

Yarden Oren

Rinat Rappoport

Raanan Yehezkel

Ido Lapidot

Sergei Goffman

Roman Fishtein

Oren Gershon

Andrey Sloutsman

Ofer Givoli

In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.

Scheduling configuration for deep learning networks

In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.

Multiply-accumulate '0' data gating

In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.

Sub-graph in frequency domain and dynamic selection of convolution implementation on a GPU

Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in combination with at least some of the other data. Other embodiments may be described and/or claimed.

Emotion-related query processing

Growing community of inventors

Netanya, Israel

Guy Jacob