From 59654116af013f14fbd2a025a7a4e72920fc92e0 Mon Sep 17 00:00:00 2001 From: Deepak Khatri <lorforlinux@beagleboard.org> Date: Mon, 15 Jan 2024 03:08:08 -0500 Subject: [PATCH] Fix board page link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 584b74c..d58207f 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # BeagleBoard.org BeagleBone AI _Fast track to Embedded Artificial Intelligence_ -[BeagleBone AI](https://beagleboard.org/ai) is built on the proven BeagleBoard.org® open source Linux approach, BeagleBone® AI has the form-factor of a miniature single-board computer (SBC) with the power of a full-on industrial computer workhorse. Based on the Texas Instruments AM5729, developers have access to the powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility. BeagleBone® AI makes it easy to explore how artificial intelligence (AI) can be used in everyday life via the TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. Focused on everyday automation in industrial, commercial and home applications. +[BeagleBone AI](https://www.beagleboard.org/boards/beaglebone-ai) is built on the proven BeagleBoard.org® open source Linux approach, BeagleBone® AI has the form-factor of a miniature single-board computer (SBC) with the power of a full-on industrial computer workhorse. Based on the Texas Instruments AM5729, developers have access to the powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility. BeagleBone® AI makes it easy to explore how artificial intelligence (AI) can be used in everyday life via the TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. Focused on everyday automation in industrial, commercial and home applications. [](https://certification.oshwa.org/us000169.html) -- GitLab