Abstract: Embodiments disclosed herein include electronic packages. In an embodiment, the electronic package comprises a first substrate; a second substrate; and an array of interconnects electrically coupling the first substrate to the second substrate. In an embodiment, the array of interconnects comprises first interconnects, wherein the first interconnects have a first volume and a first material composition, and second interconnects, wherein the second interconnects have a second volume and a second material composition, and wherein the first volume is different than the second volume and/or the first material composition is different than the second material composition.

Abstract: Embodiments disclosed herein include electronic packages. In an embodiment, the electronic package comprises a first substrate; a second substrate; and an array of interconnects electrically coupling the first substrate to the second substrate. In an embodiment, the array of interconnects comprises first interconnects, wherein the first interconnects have a first volume and a first material composition, and second interconnects, wherein the second interconnects have a second volume and a second material composition, and wherein the first volume is different than the second volume and/or the first material composition is different than the second material composition.

Abstract: Methods and apparatuses are described for digital content classification and recommendation based upon reinforcement learning. A server converts unstructured text corresponding to each digital content item into a content item feature set. The server generates a user context vector associated with a plurality of users. The server trains a linear multi-armed bandit (MAB) classification model based upon the user context vectors and historical user content recommendation information. The server receives a new user context vector associated with a new user. The server executes the MAB model using the new user context vector as input to generate content interaction prediction scores. The server selects the content interaction prediction scores above a predetermined threshold and identifies the associated digital content item. The server presents the identified digital content items on a client device and receives a response. The server updates linear UCB coefficient vectors of the MAB model based upon the response.

Abstract: A web handling system and method for controlling tension in a web of material is disclosed. For instance, the web handling system is particularly well suited for maintaining web tension within predefined setpoints during temporary interruptions in the process, such as during splicing operations. The web handling system includes an accumulator or festoon that accumulates amounts of the material as the material is being fed downstream. At least one guide roll within the festoon is coupled to a drive device, such as a motor. The system also includes at least one tension sensing device. The drive device accelerates or decelerates the guide roll based upon information obtained from the tension sensing device. In one embodiment, the system further includes an electronic gearing configuration between a roll of material being unwound and the guide roll within the festoon for better synchronization and further minimizing tension swings.

Abstract: Methods and apparatuses are described for digital content classification and recommendation based upon reinforcement learning. A server converts unstructured text corresponding to each digital content item into a content item feature set. The server generates a user context vector associated with a plurality of users. The server trains a linear multi-armed bandit (MAB) classification model based upon the user context vectors and historical user content recommendation information. The server receives a new user context vector associated with a new user. The server executes the MAB model using the new user context vector as input to generate content interaction prediction scores. The server selects the content interaction prediction scores above a predetermined threshold and identifies the associated digital content item. The server presents the identified digital content items on a client device and receives a response. The server updates linear UCB coefficient vectors of the MAB model based upon the response.

Abstract: A web handling system and method for controlling tension in a web of material is disclosed. For instance, the web handling system is particularly well suited for maintaining web tension within predefined setpoints during temporary interruptions in the process, such as during splicing operations. The web handling system includes an accumulator or festoon that accumulates amounts of the material as the material is being fed downstream. At least one guide roll within the festoon is coupled to a drive device, such as a motor. The system also includes at least one tension sensing device. The drive device accelerates or decelerates the guide roll based upon information obtained from the tension sensing device. In one embodiment, the system further includes an electronic gearing configuration between a roll of material being unwound and the guide roll within the festoon for better synchronization and further minimizing tension swings.

Abstract: An all-fiber isolator as an optical isolator comprises: an optical fiber acting as an optical light guide for propagating incident light; and a Faraday rotator for rotating by 45° a plane of polarization polarized by the polarizer. The all-fiber isolator exhibits a magneto-optic effect enough to be used as an optical isolator at a visible light wavelength by including quantum dots in a core layer and/or an internal cladding layer of the optical fiber.

Abstract: An all-fiber isolator as an optical isolator comprises: an optical fiber acting as an optical light guide for propagating incident light; and a Faraday rotator for rotating by 45° a plane of polarization polarized by the polarizer. The all-fiber isolator exhibits a magneto-optic effect enough to be used as an optical isolator at a visible light wavelength by including quantum dots in a core layer and/or an internal cladding layer of the optical fiber.

Abstract: Disclosed is an optical fiber for a current sensor, the optical fiber comprising a core doped with CdSe quantum dots and a current sensor using the same.

Abstract: Embodiments and implementations of non-volatile storage system monitoring of a file system are described herein.