The Patents that Facebook owns
Facebook is probably the most popular social media platform in today’s digital age. Facebook boasts over 2 BILLION users world wide. With such a massive amount of users, one can expect Facebook to be a successful company. But like every successful company, Facebook has protection for its assets. Only with proper protection can a company capitalize on its assets. Let’s take a look at some of the intellectual property, namely patents, that Facebook owns.
Facebook owns patent no. 10,238,000 titled “power shelf for computer servers.” The abstracts states “[a]t least one embodiment of this disclosure includes a power shelf for serving a power zone within an IT equipment rack. The power shelf includes: a DC bus configured to provide DC power to rack-mounted equipment within the power zone; multiple pairs of backup battery units (BBUs) and power supply units (PSUs), wherein the multiple pairs include at least a redundant pair, such that voltage and power is supplied through the DC bus sufficient to power the rack-mounted equipment even when one of the multiple pairs is inoperative; and a power circuit, in each PSU of each of the multiple pairs, configured to rectify an AC phase from an external multi-phase AC power source, wherein the power circuit is configured to draw power from one of the BBUs paired to the PSU when the PSU fails to provide power sufficient to power the rack-mounted equipment.”
U.S. Patent No. 10,237,481, “event camera for generation of event-based images”
This patent is for an invention that is ” [a]n imaging device operates as an event camera. The device includes an event sensor and a controller. The sensor comprises a plurality of photodiodes that asynchronously output data values corresponding to relative intensity changes within a local area. The controller populates an event matrix based in part on data values asynchronously received from the sensor and positions of photodiodes associated with the received data values over a first time period. The controller populates a change matrix based in part on a threshold intensity value and the photodiodes associated with the received data values over the first time period, and generates an image for the first time period using the event matrix and the change matrix.”
U.S. Patent No. 10,237,602, “methods and systems for selecting content for a personalized video”
This is a patent for a “method of generating a personalized video for a user of a social networking service. For a plurality of images associated with the user, respective first metrics are determined for respective images of the plurality of images based on one or more predefined image-content criteria, a first set of images is selected from the plurality of images based at least in part on the respective first metrics, and the personalized video is populated with the first set of images. The method further includes providing the personalized video to the user for viewing.”
U.S. Patent No. 10,231,053, “bone-conduction headset with crosstalk cancelation function”
This invention is concerned with “[e]mbodiments [that] relate to cancelling crosstalk vibrations due to the use of multiple bone conduction transducers by modifying bone conduction signals sent to the bone conduction transducers. The bone conduction signals are modified using an adaptive filter with its coefficients adjusted based on the vibrations generated at a bone conduction transducer and crosstalk vibrations sensed at a vibration sensor assembly. The bone conduction transducer for generating the calibration vibrations and the vibration sensor assembly for detecting the crosstalk vibrations may be placed at opposite sides of the user’s head.”
U.S. Patent No. 10,237,220, “techniques to promote filtered messages based on historical reply rate”
This is a patented invention for “[t]echniques to promote filtered messages based on historical reply rate are described. In one embodiment, an apparatus may comprise a messaging interface component operative to receive an incoming message; and transmit the incoming message to a configured delivery mailbox on a client device; and a destination mailbox configuration component operative to determine one or more connection categories between the sender account and the recipient account; determine a predicted reply rate for the incoming message based on the one or more connection categories, a recipient reply history for the recipient account, and a sender reply history for the sender account; configure the delivery mailbox for the incoming message based on the predicted reply rate; identify a most-prominent connection category of the one or more connection categories; and configure the incoming message with a banner message indicating the most-prominent connection category.”
U.S. Patent No. 10,229,357, “high-capacity machine learning system”
The present disclosure is “directed to a high-capacity training and prediction machine learning platform that can support high-capacity parameter models (e.g., with 10 billion weights). The platform implements a generic feature transformation layer for joint updating and a distributed training framework utilizing shard servers to increase training speed for the high-capacity model size. The models generated by the platform can be utilized in conjunction with existing dense baseline models to predict compatibilities between different groupings of objects (e.g., a group of two objects, three objects, etc.).”
U.S. Patent No.10,228,240, “depth mapping using structured light and time of flight”
This is a patent concerning “[a] depth camera assembly (DCA) determines distances between the DCA and objects in a local area within a field of view of the DCA. The DCA includes an illumination source that projects a known spatial pattern modulated with a temporal carrier signal into the local area. An imaging device capture the modulated pattern projected into the local area. The imaging device includes a detector that comprises different pixel groups that are each activated to captured light at different times. Hence, different pixel groups capture different phases of the temporally modulated pattern from the local area. The DCA determines times for light from the illumination source to be reflected and captured by the imaging device from the phases captured by the different pixel groups and also determines distances between the DCA and objects in the local area based on deformation of the spatial pattern captured by the imaging device.”
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Disclaimer: This article is not legal advice. It is only for educational or entertainment purposes only. Please do not use the article or contents of the article without permission. For legal advice and questions, please contact registered Patent Attorney Vincent LoTempio.