Merge pull request #1943 from jasonrandrews/review

Review voice assistant Learning Path and remove draft.

Author: jasonrandrews

content/learning-paths/mobile-graphics-and-gaming/voice-assistant/4-run.md

@@ -18,13 +18,13 @@ Once developer mode is enabled, connect your phone to your computer with USB. It
 
 
 In the graphic below, a Samsung Galaxy Z Flip 6 phone is connected to the USB cable:
-![example image alt-text#center](upload.png "Upload the Voice App")
+![upload image alt-text#center](upload.png "Upload the Voice App")
 =======
 ## Launch the Voice Assistant
 
 The app starts with this welcome screen:
 
-![example image alt-text#center](voice_assistant_view1.png "Welcome Screen")
+![welcome image alt-text#center](voice_assistant_view1.jpg "Welcome Screen")
 
 Tap **Press to talk** at the bottom of the screen to begin speaking your request.
 
@@ -40,9 +40,9 @@ You can toggle performance counters such as:
 
 Click the icon circled in red in the top left corner to show or hide these metrics:
 
-![example image alt-text#center](voice_assistant_view2.png "Performance Counters")
+![performance image alt-text#center](voice_assistant_view2.jpg "Performance Counters")
 
 To reset the Voice Assistant's conversation history, click the icon circled in red in the top right:
 
-![example image alt-text#center](voice_assistant_view3.png "Reset the Voice Assistant's Context")
+![reset image alt-text#center](voice_assistant_view3.jpg "Reset the Voice Assistant's Context")
 

content/learning-paths/mobile-graphics-and-gaming/voice-assistant/_index.md

@@ -1,10 +1,6 @@
 ---
 title: Accelerate Voice Assistant performance with KleidiAI and SME2
 
-draft: true
-cascade:
-    draft: true
-
 minutes_to_complete: 30
 
 who_is_this_for: This is an introductory topic for developers who want to accelerate Voice Assistant performance on Android devices using KleidiAI and SME2.
@@ -14,7 +10,7 @@ learning_objectives:
     - Optimize performance using KleidiAI and SME2.
 
 prerequisites:
-    - An Android phone that supports i8mm (int8 matrix multiplication). This Learning Path was tested on a Samsung Galaxy Z Flip 6.
+    - An Android phone that supports the i8mm Arm architecture feature (8-bit integer matrix multiplication). This Learning Path was tested on a Samsung Galaxy Z Flip 6. 
     - A development machine with [Android Studio](https://developer.android.com/studio) installed.
 
 author: Arnaud de Grandmaison
@@ -29,7 +25,6 @@ tools_software_languages:
 operatingsystems:
     - Linux
     - macOS
-    - Windows
     - Android
 
 further_reading: