BIOS Settings Search Using AI and Natural Language Input
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Solution Overview
Problem
The complexity of BIOS settings in Information Handling Systems (IHS) makes it difficult for users, especially those less technically inclined, to navigate and locate specific settings efficiently, requiring manual navigation through multiple UI pages and lacking an intuitive search mechanism.
Innovation Solution
Implementing a smart search functionality in the BIOS setup that uses Natural Language Processing (NLP) to process user inputs, convert them into relevant BIOS settings, and present search results as hyperlinks, with dynamic sorting based on user behavior to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual navigation through multiple UI pages is used to locate BIOS settings, then users can access specific settings, but the process becomes time-consuming and complex
Solution Approach 1:
The patent introduces an AI-powered search mediator between the user and the BIOS settings. The search function processes natural language queries through an AI model to identify relevant settings and presents them as hyperlinks, acting as an intermediary that translates user intent into specific BIOS settings locations, eliminating the need for manual navigation through multiple UI pages
Solution Approach 2:
The patent replaces the mechanical manual navigation system with an AI-based automated search system. Instead of requiring users to manually browse through UI pages using keyboard or mouse navigation, the system uses natural language processing and AI models to automatically locate and present relevant BIOS settings, substituting mechanical navigation with intelligent automation
2Adaptability or versatility
If traditional search mechanisms are used in BIOS setup, then the interface remains simple, but users lack intuitive search capabilities
Solution Approach 1:
The patent implements a universal search function that handles multiple types of user queries through a single interface. The search mechanism can process natural language queries, recognize user intent, and search across different BIOS settings categories, making the search system multi-functional and adaptable to various user needs without requiring separate search interfaces for different purposes
Solution Approach 2:
The AI-powered search system provides self-service functionality by automatically processing user queries and presenting relevant settings without requiring user guidance or intervention. The system autonomously interprets natural language inputs, identifies relevant BIOS settings, and presents them as hyperlinks, eliminating the need for users to understand complex search syntax or navigation procedures
3Productivity
If BIOS settings are organized in traditional categories, then the structure remains systematic, but users struggle to find settings quickly
Solution Approach 1:
The patent implements preliminary action by pre-processing and indexing all BIOS settings before user queries are received. The AI model analyzes and organizes settings information in advance, creating a structured database that enables rapid retrieval. When users submit queries, the system can immediately search through the pre-processed index to locate relevant settings, eliminating the need for users to manually browse through organized categories
Data Source
AI summary
Systems and methods for smart search of Basic Input/Output System (BIOS) settings. An Information Handling System (IHS) includes a processor and a memory coupled to the processor. The memory stores program instructions that, upon execution, cause the IHS to receive a Natural Language (NL) input from a user via a search field on a BIOS setup page in a pre-boot environment. The system processes the NL input through an Artificial Intelligence (AI) model configured to identify one or more BIOS settings relevant to the NL input. The identified BIOS settings are made available to the user as part of a search result, which may include one or more hyperlinks retrieved from a catalog of hyperlinks created based on an Internal Form Representation (IFR) binary file.