From 0e596f9b282ee009d61abfaf88849efb8e182e3d Mon Sep 17 00:00:00 2001 From: Jiaxin_Bai Date: Wed, 6 Nov 2024 11:51:30 +0800 Subject: [PATCH] Add: for mobile is ok as well --- content/_index.md | 33 +++++++++++++++++---------------- public/index.html | 29 +++++++++++++++-------------- public/tags/index.html | 6 +++--- public/tags/scene/index.html | 6 +++--- public/tags/scene/index.xml | 2 +- 5 files changed, 39 insertions(+), 37 deletions(-) diff --git a/content/_index.md b/content/_index.md index 1509e68..e4f427e 100644 --- a/content/_index.md +++ b/content/_index.md @@ -12,10 +12,10 @@ Welcome to our website with recent work in building the AgenticDB. ## Principle Investigators + @media (max-width: 600px) { + .info-card img { + height: 250px; + } + } + + -
@@ -96,10 +97,10 @@ Welcome to our website with recent work in building the AgenticDB.
HKUST
+ - diff --git a/public/index.html b/public/index.html index 2f1c006..a78a3dd 100644 --- a/public/index.html +++ b/public/index.html @@ -100,10 +100,10 @@

Welcome to our website with recent work in building the AgenticDB.

Principle Investigators

+ @media (max-width: 600px) { + .info-card img { + height: 250px; + } + } +
Profile Photo diff --git a/public/tags/index.html b/public/tags/index.html index 752b2c1..a98ceff 100644 --- a/public/tags/index.html +++ b/public/tags/index.html @@ -110,20 +110,20 @@

-

The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes. Here’s how it could innovate compared to Agentic AI:

+

The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes, here are the goals that we want to achieve in the AgenticDB:

  • Autonomous Data Management: AgenticDB would autonomously handle data queries, indexing, and optimization without human intervention.
  • Intelligent Query Optimization: Use AI to understand and predict query patterns, optimizing performance and resource allocation dynamically.
  • Real-Time Adaptation: Continuously learn from interactions, adapting structures and schemas to better serve emerging data trends.
  • Enhanced Security: Implement intelligent monitoring and threat detection to safeguard data integrity and privacy.
-

Why Special?

+

Why Special?

  • Database-Specific Intelligence: While Agentic AI focuses on solving multi-step problems across industries, AgenticDB would specialize in data-centric tasks, enhancing database efficiency and reliability.
  • Integration with AI Models: Directly integrate with machine learning models to provide insights and analytics within the database environment, reducing data transfer overhead.
  • Automated Maintenance and Tuning: Automatically perform maintenance tasks like indexing, backup, and scaling, minimizing downtime and manual labor.
-

Potential Applications:

+

Potential Applications:

  • Data-Driven Decision Making: Provide actionable insights directly from the database, empowering real-time strategic decisions.
  • Optimized Resource Utilization: Efficiently allocate resources based on data usage patterns, improving performance and cost-effectiveness.
    • diff --git a/public/tags/scene/index.html b/public/tags/scene/index.html index 434689d..9483b1e 100644 --- a/public/tags/scene/index.html +++ b/public/tags/scene/index.html @@ -104,20 +104,20 @@

    -

    The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes. Here’s how it could innovate compared to Agentic AI:

    +

    The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes, here are the goals that we want to achieve in the AgenticDB:

    • Autonomous Data Management: AgenticDB would autonomously handle data queries, indexing, and optimization without human intervention.
    • Intelligent Query Optimization: Use AI to understand and predict query patterns, optimizing performance and resource allocation dynamically.
    • Real-Time Adaptation: Continuously learn from interactions, adapting structures and schemas to better serve emerging data trends.
    • Enhanced Security: Implement intelligent monitoring and threat detection to safeguard data integrity and privacy.
    -

    Why Special?

    +

    Why Special?

    • Database-Specific Intelligence: While Agentic AI focuses on solving multi-step problems across industries, AgenticDB would specialize in data-centric tasks, enhancing database efficiency and reliability.
    • Integration with AI Models: Directly integrate with machine learning models to provide insights and analytics within the database environment, reducing data transfer overhead.
    • Automated Maintenance and Tuning: Automatically perform maintenance tasks like indexing, backup, and scaling, minimizing downtime and manual labor.
    -

    Potential Applications:

    +

    Potential Applications:

    • Data-Driven Decision Making: Provide actionable insights directly from the database, empowering real-time strategic decisions.
    • Optimized Resource Utilization: Efficiently allocate resources based on data usage patterns, improving performance and cost-effectiveness.
      • diff --git a/public/tags/scene/index.xml b/public/tags/scene/index.xml index 95c2044..93dd09b 100644 --- a/public/tags/scene/index.xml +++ b/public/tags/scene/index.xml @@ -13,7 +13,7 @@ http://localhost:1313/NGDB/posts/chapter-1/ Wed, 06 Nov 2024 10:54:56 +0800 http://localhost:1313/NGDB/posts/chapter-1/ - <p>The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes. Here&rsquo;s how it could innovate compared to Agentic AI:</p> <ul> <li><strong>Autonomous Data Management</strong>: AgenticDB would autonomously handle data queries, indexing, and optimization without human intervention.</li> <li><strong>Intelligent Query Optimization</strong>: Use AI to understand and predict query patterns, optimizing performance and resource allocation dynamically.</li> <li><strong>Real-Time Adaptation</strong>: Continuously learn from interactions, adapting structures and schemas to better serve emerging data trends.</li> <li><strong>Enhanced Security</strong>: Implement intelligent monitoring and threat detection to safeguard data integrity and privacy.</li> </ul> <h2 id="why-special">Why Special?</h2> <ul> <li><strong>Database-Specific Intelligence</strong>: While Agentic AI focuses on solving multi-step problems across industries, AgenticDB would specialize in data-centric tasks, enhancing database efficiency and reliability.</li> <li><strong>Integration with AI Models</strong>: Directly integrate with machine learning models to provide insights and analytics within the database environment, reducing data transfer overhead.</li> <li><strong>Automated Maintenance and Tuning</strong>: Automatically perform maintenance tasks like indexing, backup, and scaling, minimizing downtime and manual labor.</li> </ul> <h2 id="potential-applications">Potential Applications:</h2> <ul> <li><strong>Data-Driven Decision Making</strong>: Provide actionable insights directly from the database, empowering real-time strategic decisions.</li> <li><strong>Optimized Resource Utilization</strong>: Efficiently allocate resources based on data usage patterns, improving performance and cost-effectiveness.</li> </ul> + <p>The core concept of AgenticDB would involve transforming traditional databases into intelligent agents capable of autonomously managing and optimizing data processes, here are the goals that we want to achieve in the AgenticDB:</p> <ul> <li><strong>Autonomous Data Management</strong>: AgenticDB would autonomously handle data queries, indexing, and optimization without human intervention.</li> <li><strong>Intelligent Query Optimization</strong>: Use AI to understand and predict query patterns, optimizing performance and resource allocation dynamically.</li> <li><strong>Real-Time Adaptation</strong>: Continuously learn from interactions, adapting structures and schemas to better serve emerging data trends.</li> <li><strong>Enhanced Security</strong>: Implement intelligent monitoring and threat detection to safeguard data integrity and privacy.</li> </ul> <h4 id="why-special">Why Special?</h4> <ul> <li><strong>Database-Specific Intelligence</strong>: While Agentic AI focuses on solving multi-step problems across industries, AgenticDB would specialize in data-centric tasks, enhancing database efficiency and reliability.</li> <li><strong>Integration with AI Models</strong>: Directly integrate with machine learning models to provide insights and analytics within the database environment, reducing data transfer overhead.</li> <li><strong>Automated Maintenance and Tuning</strong>: Automatically perform maintenance tasks like indexing, backup, and scaling, minimizing downtime and manual labor.</li> </ul> <h4 id="potential-applications">Potential Applications:</h4> <ul> <li><strong>Data-Driven Decision Making</strong>: Provide actionable insights directly from the database, empowering real-time strategic decisions.</li> <li><strong>Optimized Resource Utilization</strong>: Efficiently allocate resources based on data usage patterns, improving performance and cost-effectiveness.</li> </ul>