Xilinx
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@@ -187,7 +187,9 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2020 Xilinx, Inc.
+   Copyright © 2022 – 2023 Advanced Micro Devices, Inc. All rights reserved. 
+   Copyright © 2019 – 2022 Xilinx, Inc. All rights reserved.
+
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
@@ -203,12 +205,21 @@
 
 ----------------------------------------------------------------------
 
-   The Xilinx Vitis AI Compiler and Quantizer in this distribution are provided under the following free 
+   The Following Xilinx Vitis AI Tools in this distribution are provided under the following free
    and permissive binary-only license, but are not provided in source code form.  While the following free 
    and permissive license is similar to the BSD open source license, it is NOT the BSD open source license 
    nor other OSI-approved open source license.
+     - xcompiler
+     - WeGO-TF1.x
+     - WeGO-TF2.x
+     - WeGO-Torch
+     - target_explorer
+     - OnBoard
+     - VAIP
+
+   Copyright © 2022 – 2023 Advanced Micro Devices, Inc. All rights reserved. 
+   Copyright © 2019 – 2022 Xilinx, Inc. All rights reserved.
 
-    Copyright © 2020 Xilinx, Inc.
 
     Redistribution and use in binary form only, without modification, is permitted provided that the following conditions are met:
 
 
@@ -13,7 +13,7 @@
 
 
 <br />
-Xilinx&reg; Vitis&trade; AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on Xilinx platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process.  It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx SoCs and Alveo Data Center accelerator cards.  
+AMD Vitis&trade; AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on AMD adaptable platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process.  It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on AMD adaptable SoCs and Alveo Data Center accelerator cards.  
 <br /> <br />
 
 
 
@@ -7,9 +7,8 @@
 
 ## Target Board Setup
 
-The Vitis-AI repository provides pre-built board images that can be leveraged by users who wish to test-drive the Vitis-AI workflow, run examples and evaluate models from the Model Zoo.  This directory provides the necessary scripts and files that will enable usage of these targets.
+The Vitis-AI repository provides pre-built board images that can be leveraged by users who wish to test-drive the Vitis AI workflow, run examples and evaluate models from the Model Zoo.  This directory provides the necessary scripts and files that will enable usage of these targets.
 
-As of the 3.0 release of Vitis AI, the target setup documentation has migrated to Github.IO.  **YOU MAY ACCESS THE TARGET SETUP DOCUMENTATION [ONLINE](https://xilinx.github.io/Vitis-AI/docs/board_setup/board_setup.html)** or **[OFFLINE](../docs/docs/board_setup/board_setup.html)**.
+As of the 3.5 release of Vitis AI, the target setup documentation has migrated to Github.IO and is integrated into the Quickstart tutorials.  **[PLEASE ACCESS THE LATEST QUICKSTART DOCUMENTATION ONLINE](https://xilinx.github.io/Vitis-AI/docs)** or **[OPEN THE OFFLINE DOCUMENTATION IN YOUR BROWSER](../docs/docs/index.html)**.
 
-For additional high-level details please refer to the [workflow documentation](https://xilinx.github.io/Vitis-AI/docs/workflow.html#test-drive-vitis-ai-on-a-supported-platform).