AI-ENHANCED ELECTRONIC DEVICE FOR OPTIMIZED DATA HANDLING

Abstract

ABSTRACT AI-Enhanced Electronic Device for Optimized Data Handling The present disclosure introduces an AI-enhanced electronic device for optimized data handling 100, designed to improve real-time data processing and transmission through advanced AI algorithms. The device comprises of CPU 102 for managing core processing tasks and an AI processing unit 106 for real-time data analysis and machine learning. The device incorporates a predictive analytics engine 114 to forecast data trends and an adaptive resource management system 116 for dynamically adjusting resources. The other components are memory storage system 104, data compression and transmission engine 108, real-time data monitoring and management system 110 user interface 112, security and anomaly detection module 118, edge computing integration 120, cross-device synchronization and decentralized data handling 122, energy optimization and harvesting system 124, feedback-driven optimization module 126, context-aware data management 128, interoperable ai modules 130, smart data archiving system 132, user-centric data visualization tools 134 and real-time collaboration tools 136. Reference Fig 1

Specification

Description:AI-Enhanced Electronic Device for Optimized Data Handling
TECHNICAL FIELD
[0001] The present innovation relates to AI-enhanced electronic devices for optimized data handling, incorporating intelligent algorithms to improve data processing, storage, transmission, and real-time analytics across various applications.

BACKGROUND

[0002] The exponential growth of digital data has created significant challenges in handling, processing, and storage across various industries. As data from IoT devices, cloud computing, social media, and telecommunications networks continues to expand, traditional electronic devices struggle to efficiently manage the increasing volume and complexity. Current data handling solutions rely on conventional processing methods, which are often limited in their ability to adapt to real-time data demands. These systems experience issues like data congestion, slow retrieval, inefficient storage, and high energy consumption. As a result, users face reduced performance, increased operational costs, and higher environmental impacts due to excessive resource use.

[0003] Existing solutions include cloud-based data management, enhanced storage devices, and specialized hardware for data compression and transmission. While these options address some aspects of the problem, they fall short in providing a comprehensive, intelligent solution that optimizes data handling in real-time. They often lack adaptability, rely heavily on centralized processing, and cannot scale effectively to dynamic data environments. Moreover, their energy efficiency is suboptimal, which contributes to higher carbon footprints.

[0004] The invention of an AI-enhanced electronic device for optimized data handling introduces an innovative approach by incorporating intelligent algorithms for real-time data processing, adaptive storage, and predictive analytics. Unlike traditional systems, this device uses AI to continuously learn from data patterns, optimize resource allocation, and predict future trends, significantly improving speed and efficiency. The invention's novelty lies in its integration of advanced AI-driven features like machine learning, natural language processing, and real-time anomaly detection, making it highly adaptable, energy-efficient, and capable of handling large datasets seamlessly. This AI-enhanced device addresses the limitations of conventional options by offering dynamic resource management, reduced energy consumption, and enhanced user experience, ultimately differentiating it from existing technologies.

OBJECTS OF THE INVENTION
[0005] The primary object of the invention is to optimize data handling processes in electronic devices by leveraging artificial intelligence (AI) technologies for improved performance and efficiency.

[0006] Another object of the invention is to enhance real-time data processing and transmission capabilities by utilizing AI-driven predictive analytics and adaptive algorithms.

[0007] Another object of the invention is to reduce energy consumption in electronic devices through intelligent resource management, thereby contributing to sustainability and minimizing the environmental impact.

[0008] Another object of the invention is to improve data storage efficiency by incorporating AI-based compression techniques that dynamically optimize storage space without compromising data integrity.

[0009] Another object of the invention is to offer a scalable architecture that can easily integrate additional hardware or software components, ensuring long-term adaptability to future technological advancements.
[00010] Another object of the invention is to provide real-time anomaly detection through machine learning algorithms, enabling early identification of potential data corruption or security threats.

[00011] Another object of the invention is to enhance user experience by offering a multi-modal interaction system, including voice, touch, and gesture controls, for seamless data management.

[00012] Another object of the invention is to ensure consistent and efficient data access across multiple devices through cross-device synchronization and cloud integration.

[00013] Another object of the invention is to support decentralized data handling, allowing data processing and storage across multiple nodes to reduce latency and enhance data security.

[00014] Another object of the invention is to promote responsible energy consumption by integrating AI-driven power optimization techniques, which reduce energy usage during low-demand periods and improve overall device efficiency

SUMMARY OF THE INVENTION

[00015] In accordance with the different aspects of the present invention, to AI-enhanced electronic devices for optimized data handling is presented. It is designed to optimize data handling processes by utilizing advanced algorithms for real-time data processing, storage, and transmission. It incorporates machine learning, natural language processing, and adaptive resource management to improve efficiency and reduce energy consumption. The device dynamically allocates processing power, optimizes storage through AI-driven compression, and provides seamless multi-device synchronization. Its scalable architecture and real-time anomaly detection further enhance performance and security. The invention promotes sustainability by minimizing energy usage while improving overall data management capabilities.

[00016] Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments constructed in conjunction with the appended claims that follow.

[00017] It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.

BRIEF DESCRIPTION OF DRAWINGS
[00018] The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.

[00019] Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

[00020] FIG. 1 is component wise drawing for AI-enhanced electronic devices for optimized data handling.

[00021] FIG 2 is working methodology of AI-enhanced electronic devices for optimized data handling.


DETAILED DESCRIPTION

[00022] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.

[00023] The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of AI-enhanced electronic devices for optimized data handling and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[00024] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.

[00025] The terms "comprises", "comprising", "include(s)", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, or system that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by "comprises... a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.

[00026] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings and which are shown by way of illustration-specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[00027] The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.

[00028] Referring to Fig. 1, to AI-enhanced electronic devices for optimized data handling 100 is disclosed, in accordance with one embodiment of the present invention. It comprises of central processing unit 102, memory storage system 104, ai processing unit 106, data compression and transmission engine 108, real-time data monitoring and management system 110, user interface 112, predictive analytics engine 114, adaptive resource management system 116, security and anomaly detection module 118, edge computing integration 120, cross-device synchronization and decentralized data handling 122, energy optimization and harvesting system 124, feedback-driven optimization module 126, context-aware data management 128, interoperable ai modules 130, smart data archiving system 132, user-centric data visualization tools 134 and real-time collaboration tools 136.

[00029] Referring to Fig. 1, the present disclosure provides details of AI-enhanced electronic devices for optimized data handling 100. It is designed to improve real-time data processing, storage management, and transmission through advanced AI-driven algorithms and adaptive resource management. In one of the embodiments, the AI-enhanced electronic device for optimized data handling 100 may be provided with the following key components such as central processing unit 102, AI processing unit 106, and memory storage system 104, enabling efficient data handling. The system also features a predictive analytics engine 114 for forecasting data trends and a real-time data monitoring and management system 110 for dynamic optimization. Additionally, it incorporates an adaptive resource management system 116 and an energy optimization and harvesting system 124 to ensure energy-efficient performance and sustainability.

[00030] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with central processing unit 102, which executes the AI algorithms and handles the core processing tasks. It works dynamically, allocating processing power based on the complexity and priority of data tasks. The central processing unit 102 interacts closely with the AI processing unit 106 to offload AI-specific tasks, optimizing overall performance. Together, these components ensure seamless and efficient data handling across various applications by intelligently managing computing resources.

[00031] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with memory storage system 104, which includes high-capacity storage solutions optimized for rapid data access and retrieval. The system employs adaptive management techniques to intelligently allocate storage space based on usage patterns. The memory storage system 104 works in tandem with the AI processing unit 106 to ensure that relevant data is always accessible for real-time analysis, improving both data retrieval times and system efficiency.

[00032] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with AI processing unit 106, which is specialized in executing machine learning and AI algorithms. This unit is designed to process real-time data, enabling the device to analyze patterns and make decisions based on previous interactions. The AI processing unit 106 works in conjunction with the central processing unit 102 to improve the efficiency of data handling, allowing for faster, more adaptive responses to dynamic data environments. It also supports the predictive analytics engine 114 in forecasting trends and optimizing data flow.

[00033] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with data compression and transmission engine 108, which is responsible for reducing the size of data to optimize both storage and transmission efficiency. This engine automatically selects the most appropriate compression algorithm based on the type of data and current system conditions. The data compression and transmission engine 108 works in conjunction with the memory storage system 104 to ensure that data is stored in a compact format, improving retrieval times. It also supports the predictive analytics engine 114 by ensuring that compressed data can be efficiently transmitted across networks. This component enhances overall system performance by reducing the bandwidth required for data transmission.

[00034] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with real-time data monitoring and management system 110, which continuously monitors data flow, identifies bottlenecks, and dynamically optimizes the data handling process. The system works in conjunction with the adaptive resource management system 116 to adjust resource allocation on-the-fly, ensuring smooth and efficient data transmission. By interacting with the predictive analytics engine 114, it helps the device anticipate potential issues and maintain optimal performance even under fluctuating data loads.

[00035] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with user interface 112, which facilitates seamless interaction between the user and the device. The user interface 112 includes a dynamic dashboard displaying system performance metrics and data insights in real time. It also supports voice, touch, and gesture controls, allowing users to efficiently manage data and optimize the device's performance. The user interface 112 works closely with the real-time data monitoring and management system 110 to provide feedback on data handling processes, making the system intuitive and user-friendly.

[00036] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with predictive analytics engine 114, which uses machine learning models to analyze historical data and predict future trends. This engine works by processing data in real-time, helping the device anticipate user needs and allocate resources efficiently. The predictive analytics engine 114 closely integrates with the real-time data monitoring and management system 110, ensuring that the system is always optimized for incoming data traffic and improving user experience by reducing latency.

[00037] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with adaptive resource management system 116, which dynamically adjusts CPU, memory, and energy resources based on current workload demands. The system continuously monitors system performance and reallocates resources to optimize data processing and transmission. The adaptive resource management system 116 works alongside the real-time data monitoring and management system 110 and the central processing unit 102 to ensure that the device operates at peak efficiency without unnecessary energy consumption.

[00038] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with security and anomaly detection module 118, which uses AI-driven algorithms to monitor data access patterns and detect anomalies in real-time. This module enhances data security by identifying potential threats and unauthorized access. The security and anomaly detection module 118 interacts with the predictive analytics engine 114 to preemptively detect irregularities and ensure data integrity across all processes.

[00039] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with edge computing integration 120, which enables localized data processing to minimize latency and reduce reliance on cloud-based resources. By handling critical data processing at the edge, this component improves real-time performance, especially in applications requiring immediate analysis and response. The edge computing integration 120 works in concert with the central processing unit 102 and ai processing unit 106 to deliver fast, efficient data handling with minimal delay.

[00040] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with cross-device synchronization and decentralized data handling 122, which ensures seamless data access and synchronization across multiple connected devices. This system enables data processing and storage to be distributed across nodes, improving performance and reducing single-point failure risks. The cross-device synchronization and decentralized data handling 122 integrates with the memory storage system 104 and the edge computing integration 120 to provide flexible and resilient data handling capabilities.

[00041] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with energy optimization and harvesting system 124, which incorporates AI algorithms designed to minimize energy consumption by optimizing resource allocation during low-demand periods. This system also supports renewable energy integration, such as solar panels or kinetic energy converters, to supplement power. The energy optimization and harvesting system 124 works closely with the adaptive resource management system 116 to ensure the device operates efficiently with a reduced environmental impact.

[00042] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with feedback-driven optimization module 126, which continuously refines the device's AI algorithms based on user feedback and performance data. This module collects metrics from various components, including the user interface 112 and the predictive analytics engine 114, to improve the device's adaptability and effectiveness over time, ensuring optimal performance tailored to user preferences.

[00043] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with context-aware data management 128, which assesses operating conditions such as network status, user location, and environmental factors to dynamically adjust data handling processes. This system works with the real-time data monitoring and management system 110 and the ai processing unit 106 to ensure data is processed efficiently and transmitted effectively, even in changing conditions.

[00044] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with interoperable AI modules 130, which allow for the integration of customizable AI models tailored to specific tasks or industries. These modules can be swapped or updated to adapt the device for various applications, providing flexibility and scalability. The interoperable AI modules 130 work closely with the AI processing unit 106 to deliver task-specific AI functionalities.

[00045] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with smart data archiving system 132, which automatically archives data based on its usage patterns, freeing up active storage space while keeping important data accessible. This system works with the memory storage system 104 and the predictive analytics engine 114 to manage data storage efficiently, ensuring optimal resource utilization.

[00046] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with user-centric data visualization tools 134, which present complex data insights in user-friendly formats tailored to individual preferences. The system employs AI to customize visualizations based on user behavior and context, working closely with the user interface 112 to make data more accessible and actionable.

[00047] Referring to Fig. 1, AI-enhanced electronic device for optimized data handling 100 is provided with real-time collaboration tools 136, which enable multiple users to interact with data simultaneously, allowing for real-time edits, comments, and collaboration. These tools integrate with the user interface 112 and the cross-device synchronization and decentralized data handling 122 to facilitate seamless teamwork and data sharing across devices and platforms

[00048] Referring to Fig 2, there is illustrated method 200 for AI-enhanced electronic devices for optimized data handling 100. The method comprises:

At step 202, method 200 includes the user interacting with the user interface 112 to input data or manage settings;

At step 204, method 200 includes the AI processing unit 106 analyzing real-time data and initiating appropriate AI algorithms based on user input and system status;

At step 206, method 200 includes the central processing unit 102 coordinating data processing tasks and distributing workload between the AI processing unit 106 and the memory storage system 104;

At step 208, method 200 includes the real-time data monitoring and management system 110 continuously tracking data flow and optimizing the routing of information to avoid bottlenecks;

At step 210, method 200 includes the adaptive resource management system 116 dynamically adjusting CPU and memory resources based on current data handling requirements;

At step 212, method 200 includes the predictive analytics engine 114 forecasting data trends and optimizing data retrieval processes to ensure timely access to required information;

At step 214, method 200 includes the data compression and transmission engine 108 compressing data for efficient storage or transmission based on real-time conditions;

At step 216, method 200 includes the cross-device synchronization and decentralized data handling 122 ensuring seamless data access and synchronization across multiple connected devices;

At step 218, method 200 includes the security and anomaly detection module 118 monitoring data access and detecting potential threats in real-time;

At step 220, method 200 includes the energy optimization and harvesting system 124 reducing energy consumption during low-demand periods, ensuring energy-efficient operation of the device.

[00049] In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "fixed" "attached" "disposed," "mounted," and "connected" are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

[00050] Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.

[00051] Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.

, Claims:WE CLAIM:
1. An AI-enhanced electronic devices for optimized data handling 100 comprising of
central processing unit 102 to execute core AI algorithms and manage data processing tasks;
memory storage system 104 to store and retrieve data efficiently based on adaptive allocation techniques;
AI processing unit 106 to handle real-time data analysis and execute machine learning models;
data compression and transmission engine 108 to optimize data storage and transmission by reducing data size;
real-time data monitoring and management system 110 to track data flow and optimize routing dynamically;
user interface 112 to provide intuitive control and interaction with the device;
predictive analytics engine 114 to forecast data trends and optimize resource allocation;
adaptive resource management system 116 to dynamically adjust CPU and memory resources based on demand;
security and anomaly detection module 118 to monitor data access and detect potential threats in real-time;
edge computing integration 120 to process data locally, minimizing latency and reliance on cloud services;
cross-device synchronization and decentralized data handling 122 to ensure seamless data access and processing across devices;
energy optimization and harvesting system 124 to reduce energy consumption and integrate renewable energy sources;
feedback-driven optimization module 126 to refine AI algorithms based on user feedback and performance metrics;
context-aware data management 128 to adapt data handling processes based on operating conditions;
interoperable AI modules 130 to allow for customizable AI model integration tailored to specific tasks;
smart data archiving system 132 to manage storage by automatically archiving less-used data;
user-centric data visualization tools 134 to provide user-friendly, AI-driven data insights; and
real-time collaboration tools 136 to facilitate multi-user interaction and collaboration on shared data.

2. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein central processing unit 102 is configured to execute AI algorithms and manage data processing tasks dynamically, optimizing performance based on task complexity and system demands.

3. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the AI processing unit 106 is configured to handle real-time data analysis, execute machine learning models, and support decision-making processes by continuously learning from user interactions and environmental data.

4. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the memory storage system 104 is configured to store and retrieve data using adaptive allocation techniques, ensuring efficient storage management and rapid data access based on usage patterns.

5. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the real-time data monitoring and management system 110 is configured to continuously monitor data flow, optimize information routing, and dynamically adjust system resources to prevent bottlenecks and enhance performance.

6. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the predictive analytics engine 114 is configured to analyze historical data and forecast future trends, enabling preemptive resource allocation and optimizing data retrieval to reduce latency and improve responsiveness.

7. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the adaptive resource management system 116 is configured to dynamically adjust CPU and memory resources based on real-time data handling demands, ensuring optimal system performance and energy efficiency.

8. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the security and anomaly detection module 118 is configured to monitor data access patterns, detect anomalies, and prevent unauthorized access, ensuring data integrity and system security in real-time.

9. The AI-enhanced electronic device for optimized data handling 100 as claimed in claim 1, wherein the energy optimization and harvesting system 124 is configured to minimize energy consumption during low-demand periods and integrate renewable energy sources, promoting sustainability and reducing the device's environmental impact.

10. The AI-enhanced electronic devices for optimized data handling 100 as claimed in claim 1, wherein method comprises of
user interface 112 receiving input from the user to manage settings or initiate data processes;
AI processing unit 106 analyzing real-time data and executing AI algorithms based on user input and current system conditions;
central processing unit 102 coordinating data processing tasks and distributing workload between the ai processing unit 106 and the memory storage system 104;
real-time data monitoring and management system 110 tracking data flow continuously and optimizing information routing to prevent bottlenecks;
adaptive resource management system 116 dynamically adjusting CPU and memory resources according to current data handling demands;
predictive analytics engine 114 forecasting data trends and optimizing retrieval processes to ensure timely access to relevant information;
data compression and transmission engine 108 compressing data for efficient storage or transmission based on current real-time conditions;
cross-device synchronization and decentralized data handling 122 ensuring seamless data access and synchronization across multiple connected devices;
security and anomaly detection module 118 monitoring data access patterns and detecting potential threats in real-time;
energy optimization and harvesting system 124 reducing energy consumption during low-demand periods, promoting energy-efficient device operation.

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