Abstract: Examples are provided that relate to embedding, in a core of a substrate, an electronic component having a thickness less than a thickness of the core. One example provides an electronic device comprising a substrate comprising a core and one or more buildup layers coupled with the core, each buildup layer comprising a metal layer and a dielectric layer. The core comprises a center comprising a plurality of plies, and an additional layer comprising one or more additional plies. The electronic device further comprises an electronic component embedded in at least one of the center or the additional layer of the core. The electronic component comprises a thickness less than a thickness of the core. The electronic device further comprises an integrated circuit die coupled with the substrate and electrically connected to the electronic component.

Abstract: The present disclosure provides a method for evaluating machine-generated articles using baselines guided by a theory of mind. The method includes generating a plurality of articles using a generative AI model, dividing the plurality of articles into two groups, comprising a first group comprising articles subjected to human editing to align with a quality standard, and a second group comprising articles that remain unedited, assigning scores to the plurality of articles across a set of quality dimensions, storing the scores in a first score matrix for the first group of articles, calculating covariance data for the first group using the first score matrix, constructing a polygon for each article in the first group within a multi-dimensional space, calculating an area of each polygon within the multi-dimensional space, and establishing a first baseline threshold based on the calculated areas for the articles in the first group.

Abstract: A method, according to one embodiment, includes receiving a plurality of video streams, performing feature identification to identify objects within scenes of the plurality of video streams, and correlating the identified objects with event outcomes within the video streams. The method further includes selecting a first of the video streams with a relatively highest level of correlation to the event outcomes, diffusing features from a remainder of the video streams into the first video stream to generate a personalized video stream, and causing the personalized video stream to be transmitted to a user device used by a target user. A computer program product, according to one embodiment, includes one or more computer readable storage media, and program instructions stored on the one or more storage media to perform the foregoing method.

Abstract: An example embodiment provides a method that includes one or more of executing a sequence of job steps for a job by a sequence of job step executors within a data processing pipeline, recording current job execution data generated by the sequence of job step executors during the executing of the sequence of job steps, determining whether the executing of the sequence of job steps includes a deviation based on comparing the current job execution data to historical job execution data of the data processing pipeline stored in a data store, wherein the deviation is determined by comparing a current step execution dataset to a recorded step execution dataset in the data store, and generating a failure alert when the deviation is included.

Abstract: An apparatus and method for efficiently increasing semiconductor chip functionality in a particular area. A semiconductor fabrication process (or process) grows a silicon substrate layer, and forms multiple p-type and n-type transistors along a front side surface of the silicon substrate layer. The process flips the silicon substrate layer and removes silicon substrate leaving a particular thickness of the silicon substrate layer. The process forms multiple p-type and n-type transistors along the back side surface of the silicon substrate layer, and forms metal layers that connect terminals of the transistors formed along the back side surface to particular signals. The process forms through silicon vias (TSVs) that traverse through the silicon substrate layer. The process again flips the silicon substrate layer, and forms metal layers that connect terminals of the transistors formed along the front side surface to particular signals.

Abstract: Provided are techniques for generating and sharing a VR experience. Actual experience data for an actual experience of a first user performing an activity is captured. The actual experience data is analyzed to identify physical experiences and cognitive experiences. Input is received from a second user of a selection of experiences from the physical experiences and the cognitive experiences of the first user. Based on the selection, a virtual reality experience is generated. The virtual reality experience is played for the second user.

Abstract: The present invention relates to a system comprising a pair of System-on-Chip dies that includes through-silicon vias (TSVs) coupling the front side and the back side. A first fanout wafer with first fanout layers is coupled to the front side of the System-on-Chip dies and second fanout wafer with second fanout layers is coupled to the TSVs on the back side of the System-on-Chip dies. A carrier wafer is bonded to the second fanout wafer, collectively forming a 3D double-sided fanout structure that approximately doubles the available die-to-die routing bandwidth.

Abstract: Embodiments present techniques for determining a list of recommended items in response to a user query. An embodiment can determine a first ordered list of items including a plurality of items stored by a content platform. Based on a reward discount parameter, a first total discounted future reward for the first ordered list of items can be determined. Based on a risk discount parameter, a first risk estimate for the first ordered list of items can be determined. Similarly, a second ordered list of items can have a second total discounted future reward and a second risk estimate. The second ordered list of items can be the list of recommended items when the second total discounted future reward is larger than or equal to the first total discounted future reward, and the second risk estimate is less than or equal to the first risk estimate.

Abstract: The disclosed computer-implemented apparatus for bridge-based packaging with direct power delivery can include an first layer stacked on a second layer. The second layer can include an interposer die and a connection die. The first layer can include a chiplet die positioned above the interposer die and a first-layer bridge die spanning across the interposer die and the connection die. The interposer die can include a set of physical interfaces and a set of routing features configured to route signals from the set of physical interfaces to the first-layer bridge die. Various other apparatuses, systems, and methods of manufacture are also disclosed.

Abstract: An example operation may include at least one of receiving a job start request which includes a job template identifier and one or more job creation tags, creating a sequence of job steps based on a job template identified by the job template identifier, removing one or more job steps in the sequence of job steps that do not correspond to the one or more job creation tags, wherein one or more job steps that remain comprise a pipeline job, populating a job step of the one or more job steps that remain in the pipeline job with a set of rules associated with the job step from the one or more rules or replacing one or more placeholders in the set of rules of the job step in the pipeline job with one or more placeholder values.

Abstract: A semiconductor package assembly includes a die having a front surface and a back surface opposite to and parallel to the front surface. A first portion of a front surface of an interconnect die is coupled to a portion of the back surface of the die. The interconnect die includes a connectivity region that is coupled to one or more through-die vias in the die through the back surface of the die. A spacer component is coupled to a second portion of the front surface of the interconnect die. The spacer component includes conductive connections, with one or more of the conductive connections are coupled to the conductive pathways of the connectivity region of the interconnect die.

Abstract: A chiplet system includes a central processing unit (CPU) communicably coupled to a first GPU chiplet of a GPU chiplet array. The GPU chiplet array includes the first GPU chiplet communicably coupled to the CPU via a bus and a second GPU chiplet communicably coupled to the first GPU chiplet via a passive crosslink. The passive crosslink is a passive interposer die dedicated for inter-chiplet communications and partitions systems-on-a-chip (SoC) functionality into smaller functional chiplet groupings.

Abstract: A method for detecting conflation errors in an augmented reality interface is disclosed. In one embodiment, such a method includes receiving an actual screenshot of an augmented reality interface. The method generates, using a generative adversarial network (GAN), a replica screenshot of the augmented reality interface that indicates how the actual screenshot is expected to appear. The replica screenshot is non-identical to the actual screenshot. The method receives the actual screenshot and the replica screenshot into a fractal-based convolutional neural network (CNN) to determine a correlation between the actual screenshot and the replica screenshot. In the event the correlation is below a designated threshold, the method flags the actual screenshot as having a potential conflation error. This conflation error may involve conflating a digital component for a physical component or vice versa. A corresponding system and computer program product are also disclosed.

Abstract: According to examples, an energy harvesting component for an optical device having an illumination source emitting unused light is described. The apparatus may include a light source to generate and transmit display light comprising at least one beam of light and an illumination source component to receive the at least one beam of light and to diffract the at least one beam of light in a first direction and an opposing direction. The apparatus may further include and an energy harvesting component to receive and absorb the at least one beam of light diffracted in an opposing direction and to convert the at least one beam of light diffracted in an opposing direction into electrical energy.

Abstract: A system including one or more processors; and one or more non-transitory computer-readable media storing computing instructions, that when executed on one or more processors, cause the one or more processors to perform certain operations including: training a first submodel of a machine learning model by at least (i) creating a cumulative addition of light gradient boosting models, and (ii) determining weights for aggregation with probabilities from the light gradient boosting models; generating, using the machine learning model, as trained, classifications for nodes, wherein the classifications comprise unions of outputs of the first submodel of the machine learning model and outputs of a second submodel of the machine learning model; and based on the classifications for the nodes, automatically tagging a portion of the nodes as deliverable in an online platform. Other embodiments are described.

Abstract: Within a video frame, elements are identified. A graph is constructed for a portion of video content including the video frame. Using the graph and an excitement level corresponding to an element in the plurality of elements, the video frame is divided into an alterable region and an unalterable region. By solving an optimization problem, a compute resource and a rendering application are selected, the compute resource represented by a runtime feature vector encoding a plurality of features describing execution of the rendering application on the compute resource. Using the compute resource and the rendering application, a background image corresponding to the alterable region is rendered. The unalterable region and the background image are combined into a rendered video frame, the rendered video frame replacing the video frame within the portion of video content.

Abstract: Embodiments present techniques for determining a list of recommended items in response to a user query. An embodiment can determine a first ordered list of items including a plurality of items stored by a content platform. Based on a reward discount parameter, a first total discounted future reward for the first ordered list of items can be determined. Based on a risk discount parameter, a first risk estimate for the first ordered list of items can be determined. Similarly, a second ordered list of items can have a second total discounted future reward and a second risk estimate. The second ordered list of items can be the list of recommended items when the second total discounted future reward is larger than or equal to the first total discounted future reward, and the second risk estimate is less than or equal to the first risk estimate.

Abstract: A display system includes a light source, a waveguide body extending from an input end to an output end, the waveguide body configured to guide light from the light source by total internal reflection from the input end to the output end, an input coupling element located proximate to the input end of the waveguide body and configured to couple light from the light source into the waveguide body, and an output coupling element located proximate to the output end of the waveguide body and configured to couple light out of the waveguide body, where the display system is configured to display images with a color gamut that varies as a function of spatial or angular location across a field of view.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for ranking a plurality of content items for presentation to a user. An embodiment generates a ranking score for each content item by: providing input to a deep machine learning (ML) model, the input including at least one or more query features and one or more content item features, determining, by the deep ML model and based at least on the input, a first probability of a first type of interaction between the user and the content item and a second probability of a second type of interaction between the user and the content item, and calculating the ranking score for the content item based at least on the first and second probabilities. An embodiment ranks the content items for presentation based on the ranking score associated with each content item.

Abstract: A system and method for Generative Artificial Intelligence (Gen AI) based calling workflow optimization is provided. Historic data associated with user is fetched from multiple data sources and voice commands previously provided as voice prompts over an IVR call tree by the user are fetched for generating master data sheet. Outbound call is generated in the form of Interactive Voice Response (IVR) tree for user by processing master data sheet. Responses provided over outbound call are converted to text in the form of query, via first bot type. Prompt is generated based on text in the form of query and other queries in IVR tree and generated prompt are provided as input to large language model. The large language model identifies category from master data sheet which corresponds to query based on prompt to generate reply to query. Reply to query is inserted in IVR tree in real-time.