Fady El-Rukby

A method includes receiving information associated with a requested operator. The method further includes, in response to receiving the information, generating, by a processing device executing a machine learning model, an artificial intelligence (AI)-based solution to the requested operator, wherein the AI-based solution comprises a plurality of machine-learning models. The method further includes displaying an option to access the AI-based solution in a marketplace platform. The method… Show more

A method includes receiving information associated with a requested operator. The method further includes, in response to receiving the information, generating, by a processing device executing a machine learning model, an artificial intelligence (AI)-based solution to the requested operator, wherein the AI-based solution comprises a plurality of machine-learning models. The method further includes displaying an option to access the AI-based solution in a marketplace platform. The method further includes receiving information associated with a requested operator, and generating, by a processing device executing a first machine learning model, a skeleton architecture of an AI-based solution to the operator based on the information. Show less

Techniques are described herein for collecting and utilizing diagnostic information for advanced monitoring of wireless power delivery systems. Wireless power transmission systems and/or cloud processing systems accumulate significant volumes of data related to wireless devices, usage patterns, power delivery efficiency and system components. This data can be utilized to generate efficient and sophisticated power transmission schedules. Additionally, as discussed herein, the diagnostic… Show more

Techniques are described herein for collecting and utilizing diagnostic information for advanced monitoring of wireless power delivery systems. Wireless power transmission systems and/or cloud processing systems accumulate significant volumes of data related to wireless devices, usage patterns, power delivery efficiency and system components. This data can be utilized to generate efficient and sophisticated power transmission schedules. Additionally, as discussed herein, the diagnostic information can be leveraged for advanced system diagnostics and health monitoring. Among other features, the diagnostic and health monitoring system can detect patterns and correlate events that lead to system errors or failures. In some embodiments, the diagnostic and health monitoring system can also provide error notification and/or automatic error correction. Show less

Techniques are described for retention of known data within a wireless power transmission system, or within a cloud-based processing system. In order to perform scheduling procedures for determining which device to power, it is necessary to collect data regarding a device, e.g., the battery type, power usage, device model, present charge level and amount of power delivered per power cycle. A wireless power receiver client typically needs to collect or infer the information from the device and… Show more

Techniques are described for retention of known data within a wireless power transmission system, or within a cloud-based processing system. In order to perform scheduling procedures for determining which device to power, it is necessary to collect data regarding a device, e.g., the battery type, power usage, device model, present charge level and amount of power delivered per power cycle. A wireless power receiver client typically needs to collect or infer the information from the device and then provide the information directly to the charger via a messaging protocol. In existing wireless power transmission systems, information is re-transmitted to the wireless power transmission system every time the receiver engages or reengages the system. Show less

Techniques are described herein for utilizing power requirements of a device in order to schedule wireless power delivery in wireless power delivery environments. In some embodiments, the techniques can alternatively or additionally employ advanced usage based power models to schedule wireless power delivery in wireless power delivery environments. For embodiments where device usage information is utilized, various means of collecting and analyzing the usage data may be employed. Furthermore… Show more

Techniques are described herein for utilizing power requirements of a device in order to schedule wireless power delivery in wireless power delivery environments. In some embodiments, the techniques can alternatively or additionally employ advanced usage based power models to schedule wireless power delivery in wireless power delivery environments. For embodiments where device usage information is utilized, various means of collecting and analyzing the usage data may be employed. Furthermore, in some embodiments, some of the usage data may be ignored in order to ensure that the usage models for the device are not polluted with abnormal or detrimental data. Show less

The disclosed system utilizes multiple wireless power receivers (antennas and or paths) for receiving power. The disclosed system includes a chip, such as an application specific chip (ASICs) connectable to multiple antennas and units to convert radio frequency (RF) power into direct current (DC) power. The disclosed system can also include antennas that are used to receiving power, communicate, and send a beacon signal. The disclosed system also comprises a mobile electronic device to receive… Show more

The disclosed system utilizes multiple wireless power receivers (antennas and or paths) for receiving power. The disclosed system includes a chip, such as an application specific chip (ASICs) connectable to multiple antennas and units to convert radio frequency (RF) power into direct current (DC) power. The disclosed system can also include antennas that are used to receiving power, communicate, and send a beacon signal. The disclosed system also comprises a mobile electronic device to receive wireless power using multiple antennas connected or coupled to multiple wireless power receivers. Show less

Various techniques are described herein for calculating power consumption in wireless delivery systems. In one example, power consumption is calculated by receiving information associated with at least one portable device, identifying a discharge/charge curve associated with at least one battery in the at least one portable device, and calculating power consumption of the least one portable device based at least in part on the received information and the identified discharge/charge curve.

A wirelessly powered electronic display apparatus and techniques for dynamically controlling the apparatus are described herein. More specifically, the electronic display apparatus is configured identify proximate users and automatically present communications to the proximate users in a wireless power delivery environment. In some embodiments, the apparatus comprises a housing, an electronic display disposed on the housing, one or more antennas situated within the housing and electronic… Show more

A wirelessly powered electronic display apparatus and techniques for dynamically controlling the apparatus are described herein. More specifically, the electronic display apparatus is configured identify proximate users and automatically present communications to the proximate users in a wireless power delivery environment. In some embodiments, the apparatus comprises a housing, an electronic display disposed on the housing, one or more antennas situated within the housing and electronic circuitry situated within the housing. The electronic display is configured to present display data to proximate users in the wireless power delivery environment. The one or more antennas are configured to wirelessly receive power and data signals. The electronic circuitry is configured to harvest energy from the power signals, process the data signals to determine the display data for presentation to the proximate users, and direct the electronic display to present the display data to the proximate users. Show less