Steven H Kawasumi

7774625, Aug 10, 2010

Jun 22, 2004

10/874407

Eric Chien-Li Sheng - San Jose CA, US
Steven Kawasumi - San Jose CA, US

G06F 1/00
G06F 1/32
G11C 5/14

713300, 713320, 365227

Adaptive voltage control. In accordance with a first embodiment of the present invention, a desirable operating frequency for the microprocessor is determined. Information stored within and specific to the microprocessor is accessed. The information can comprise coefficients of a quadratic approximation of a frequency-voltage characteristic of the microprocessor. An efficient voltage for operating the microprocessor at said desirable operating frequency is computed. The microprocessor is operated at the efficient voltage.

20220366295, Nov 17, 2022

May 13, 2021

17/319579

- Mountain View CA, US
Steven Hidetaka KAWASUMI - San Diego CA, US
Clifford GREEN - San Diego CA, US

G06N 20/00
G06F 16/2457

Aspects of the present disclosure provide techniques for training a machine learning model. Embodiments include providing features of a plurality of content items as inputs to an embedding model and receiving embeddings of the plurality of content items as outputs from the embedding model. Embodiments include receiving a data set comprising features of a plurality of users associated with content items of the plurality of content items that correspond to the plurality of users. Embodiments include generating a training data set for a machine learning model, wherein the training data set comprises the features of the plurality of users associated with respective labels indicating which respective embeddings of the embeddings correspond to each respective user of the plurality of users. Embodiments include training the machine learning model, using the training data set, to output corresponding embeddings of relevant content items for users based on features of the users.