(57) ABSTRACT A hair care composition having from about 10% to about 25% of one or
more surfactants; from about 0.01% to 10% of one or more particulate scalp health agents; …

Detection of synthetic content in portrait videos, eg, deep fakes, is achieved. Detectors
blindly utilizing deep learning are not effective in catching fake content, as generative …

Digital imaging and learning systems and methods are described for analyzing pixel data of
a scalp region of a user's scalp to generate one or more user-specific scalp classifications. A …

A digital facial image from a user is collected. Digital facial images from a plurality of people
are collected from a database. A neural network is used to compare a plurality of pixels of …

All final and non-final office actions for US Appl. No. 15/976,485. All final and non-final office
actions for US Appl. No. 16/412,745. All final and non-final office actions for US Appl. No …

In one aspect, a computerized method for implementing a hair-service based digital image
search engine and ranking comprising the step of providing a hair-service search engine …

2012/0309733 A1 2014/0028822 A1 2014/0071456 Al 2014/0120048 Al 2014/0171471 A1
2014/0378810 A1 2015/0217465 A1 2015/0272865 A1 2016/0038397 A1 2016/0310393 …

Disclosed are hair analysis systems and methods compris ing:(a) a step to capture an image
at least of the top of the head of a user at an image capture unit and to send the image from …

G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …

Detection of synthetic content in portrait videos, eg, deep fakes, is achieved. Detectors
blindly utilizing deep learning are not effective in catching fake content, as generative …