Abstract: Systems, apparatuses and methods may provide for technology that determines a vocabulary based on EDA tool terminologies and/or a natural language, queries and recommends, by a plurality of virtual agents, actions based on a design state and the vocabulary, wherein the plurality of agents is to include a tool agent and a designer agent, and executes a set of modifications to the design state in accordance with a collaboration between the plurality of agents. The technology may also convert a first user query from a first format to a second format, wherein the first format is incompatible with a trained AI model of a hardware architecture and the second format is compatible with the trained AI model, generate one or more predictions from the trained AI model based on the converted first user query, and select a subset of recommendations from a set of candidate architectures based on the prediction(s).

Abstract: A pattern identification system is disclosed. The pattern identification system includes a memory configured to store instructions and a processor coupled to the memory and configured to execute the instructions to perform a process. The process includes receiving measurement data associated with the wafer pattern. The process may also include determining a similarity value between the wafer pattern and a reference pattern associated with a reference wafer based on the measurement data. The process may further include determining whether the similarity value satisfies a similarity condition. Responsive to the similarity value satisfying the similarity condition, the process may additionally include identifying a failure mode associated with the wafer pattern based on the reference pattern of the reference wafer.

Abstract: Systems, apparatuses and methods may provide for technology that receives parameter results and scores of one or more local sessions with respect to subcircuit components in a bounded area, aggregates the parameter results and scores, and generates a global placement model based on an output of the aggregated parameter results and scores.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a plurality of functional blocks in a circuit, wherein each functional block includes a plurality of components, conducts one or more passes of a first optimization loop to determine candidate aspect ratios for the functional blocks based on size data associated with the components, and conducts, within the one or more passes of the first optimization loop, one or more passes of a second optimization loop to determine candidate floorplan data for the circuit based on the candidate aspect ratios.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: Provided are a method and system for upgrading firmware. The method includes: an upgrading control single board receives a firmware upgrading request from a master control single board, wherein the firmware upgrading request carries firmware upgrading parameter information; the upgrading control single board determines, according to the firmware upgrading parameter information, a sublink to be upgraded corresponding to the firmware upgrading parameter information; and the upgrading control single board acquires, from the master control single board, firmware upgrading data corresponding to the sublink to be upgraded, and upgrades, by adopting the firmware upgrading data, one or more pieces of firmware on the sublink to be upgraded. According to the solution, under a power-on state of a bare single board to be upgraded, remote firmware upgrading can be performed for the single board, so that the risk of influence of firmware upgrading operation on normal running of the system is lowered.

Abstract: A battery system includes a lithium ion battery that couples to an electrical system. The battery system also includes a battery management system that electrically couples to the lithium ion battery and controls one or more recharge parameters of the lithium ion battery. Additionally, the battery management system monitors one or more parameters of the lithium ion battery. Further, the battery management system controls the recharge parameters of the lithium ion battery based on at least one lithium plating model and the monitored parameters. Furthermore, the at least one lithium plating model indicates a relationship between the one or more parameters of the lithium ion battery and a likelihood of lithium plating occurring in the lithium ion battery.

Abstract: Provided are a method and system for upgrading firmware. The method includes: an upgrading control single board receives a firmware upgrading request from a master control single board, wherein the firmware upgrading request carries firmware upgrading parameter information; the upgrading control single board determines, according to the firmware upgrading parameter information, a sublink to be upgraded corresponding to the firmware upgrading parameter information; and the upgrading control single board acquires, from the master control single board, firmware upgrading data corresponding to the sublink to be upgraded, and upgrades, by adopting the firmware upgrading data, one or more pieces of firmware on the sublink to be upgraded. According to the solution, under a power-on state of a bare single board to be upgraded, remote firmware upgrading can be performed for the single board, so that the risk of influence of firmware upgrading operation on normal running of the system is lowered.