Abstract: According to one embodiment, a semiconductor memory device includes a plurality of conductor layers including a first conductor layer as an uppermost layer; a plurality of memory pillars penetrating the conductor layers; and a member that includes a first portion extending in the conductor layers and a plurality of second portions RT provided apart from each other on the uppermost layer side of the conductor layers, and divides the conductor layers in a direction in a substrate surface; wherein a lower surface of the second portion is located below an upper surface of the first conductor layer, and an upper surface of the second portion is wider in a width in the direction, than the lower surface of the second portion and than the first portion.

Abstract: An information processing method includes: obtaining a target distribution indicating a target for sound pressure distribution in a space; obtaining an initial value of a parameter value, the parameter value being a value of an acoustic parameter of the space; executing acoustic simulation using the initial value as the parameter value, to obtain the sound pressure distribution in the space; updating the parameter value to bring the sound pressure distribution obtained closer to the target distribution; and outputting the parameter value updated.

Abstract: Disclosed herein are embodiments for automated intelligent price guidance of listings for a for sale object (FSO) being offered by a seller. Some embodiments may operate by: receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO; determining a category of the FSO; generating an optimal offer price for the FSO based on one or more of: (a) past listings of previously sold FSOs that have a same or similar category of the FSO; (b) the specifications, including the time window; (c) a category decay curve applicable to the category; and (d) seller flexibility curve of the seller; and through the use of a machine learning neural networking analysis suggesting the optimal offer price to the seller as an offer price for a listing corresponding to the FSO, wherein this price is evaluated over time and suggestions are made accordingly.

Abstract: Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

Abstract: According to one embodiment, a semiconductor memory device includes interconnect layers stacked above a substrate; a memory pillar configured to penetrate the interconnect layers; a first member and a second member; and a dividing portion provided between the first member and the second member. The dividing portion includes insulating layers. The insulating layers each include a first portion and a second portion. The first portion is provided between the first member and the second portion. The second portion is provided between the first portion and the second member. The first portion and the second portion each have an individual arc shape when viewed from a top and are in contact with each other.

Abstract: Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

Abstract: Disclosed herein are embodiments for automatic, intelligent generation of listings for a for sale object (FSO) being offered by a seller. Some embodiments operate by: receiving information relating to the FSO, including specifications for selling the FSO and an election of an automatic listing option; determining a category of the FSO; generating an optimal offer price based on at least the category; and generating multiple listings for the FSO, wherein the multiple listings have varying titles, descriptions, pictures and offer prices.

Abstract: Disclosed herein are embodiments for automated intelligent price guidance of listings for a for sale object (FSO) being offered by a seller. Some embodiments may operate by: receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO; determining a category of the FSO; generating an optimal offer price for the FSO based on one or more of: (a) past listings of previously sold FSOs that have a same or similar category of the FSO; (b) the specifications, including the time window; (c) a category decay curve applicable to the category; and (d) seller flexibility curve of the seller; and through the use of a machine learning neural networking analysis suggesting the optimal offer price to the seller as an offer price for a listing corresponding to the FSO, wherein this price is evaluated over time and suggestions are made accordingly.

Abstract: Disclosed herein are embodiments for automatic, intelligent generation of listings for a for sale object (FSO) being offered by a seller. Some embodiments operate by: receiving information relating to the FSO, including specifications for selling the FSO and an election of an automatic listing option; determining a category of the FSO; generating an optimal offer price based on at least the category; and generating multiple listings for the FSO, wherein the multiple listings have varying titles, descriptions, pictures and offer prices.