Abstract: In one embodiment, an integrated circuit package substrate includes a core layer comprising a dielectric material and a plurality of metal vias within the core layer. The dielectric material includes Silicon, Oxygen, and at least one of Boron or Phosphorus. The metal vias electrically couple a first side of the core layer and a second side of the core layer opposite the first side. The package substrate further includes a plurality of build-up layers on the core layer, the build-up layers comprising metal vias electrically connected to the metal vias of the core layer.

Abstract: In one embodiment, an integrated circuit package substrate includes a core layer comprising a plurality of metal vias electrically coupling a first side of the core layer and a second side of the core layer opposite the first side. The package substrate further includes a build-up layer on the first side of the core layer, the build-up layer comprising metal vias within a dielectric material and electrically connected to the metal vias of the core layer. The dielectric material includes Silicon, Oxygen, and at least one of Boron or Phosphorus.

Abstract: An integrated circuit (IC) device comprises a substrate comprising a glass core. The glass core comprises a first surface and a second surface opposite the first surface, and a first sidewall between the first surface and the second surface. The glass core may include a conductor within a through-glass via extending from the first surface to the second surface and a build-up layer. The glass cord comprises a plurality of first areas of the glass core and a plurality of laser-treated areas on the first sidewall. A first one of the plurality of laser-treated areas may be spaced away from a second one of the plurality of laser-treated areas. A first area may comprise a first nanoporosity and a laser-treated area may comprise a second nanoporosity, wherein the second nanoporosity is greater than the first nanoporosity.

Abstract: Embodiments disclosed herein include package substrates. In an embodiment, the package substrate comprises a core, where the core comprises glass. In an embodiment, a first layer is under the core, a second layer is over the core, and a via is through the core, the first layer, and the second layer. In an embodiment a width of the via through the core is equal to a width of the via through the first layer and the second layer. In an embodiment, the package substrate further comprises a first pad under the via, and a second pad over the via.

Abstract: Systems and methods are described for user classification with semi-supervised machine learning. The systems and methods may include receiving user information for a first set of users, receiving survey data for a second set of users wherein the second set of users is a proper subset of the first set of users, training a first neural network and a second neural network based on the second set of users, mapping the user information for the first set of users to the embedding space using the first neural network, predicting category membership propensities for the first set of users using a low-density separation algorithm on the user information for the first set of users mapped to the embedding space, updating the first neural network and the second neural network based on the prediction, and reclassifying the first set of users based on the updated first neural network and the updated second neural network.

Abstract: Systems and methods are described for user classification with semi-supervised machine learning. The systems and methods may include receiving user information for a first set of users, receiving survey data for a second set of users wherein the second set of users is a proper subset of the first set of users, training a first neural network and a second neural network based on the second set of users, mapping the user information for the first set of users to the embedding space using the first neural network, predicting category membership propensities for the first set of users using a low-density separation algorithm on the user information for the first set of users mapped to the embedding space, updating the first neural network and the second neural network based on the prediction, and reclassifying the first set of users based on the updated first neural network and the updated second neural network.