Merge pull request #221 from bitcraze/Aris/RemoveGreenWavesLinks

Removed GreenWaves links

Author: gemenerik

src/about/events/adws12021.md

@@ -67,7 +67,5 @@ To reflash the NINA, go to 'aideck-gap8-examples/NINA/firmware' and type:
 
 These commands are configured ~/.bashrc. Also check if the configured programmer file in the same script matches yours!
 
-If you rather want to install the gap_sdk natively (only Ubuntu), please follow the [gap_sdk instructions](https://greenwaves-technologies.com/manuals/BUILD/HOME/html/index.html) by Greenwaves Technologies. Make sure to also have gap_tools installed and to do this ahead of time of the workshop as it takes about an hour to set-it-up.
-
 **Note**: Since the VM is an AMD64 install of Linux, it *does not work* on Apple-silicon Mac (M1/2/... processors).
 On an apple silicon mac you need to install the tools natively.

src/about/events/bam2021.md

@@ -278,7 +278,7 @@ Daniele Palossi received the Ph.D. in Information Technology and Electrical Engi
 
 {% img Francesco Paci; narrow; /images/events/bam2021/Francesco.png %}
 
-Affiliation: [GreenWaves Technologies](https://greenwaves-technologies.com/)
+Affiliation: GreenWaves Technologies
 
 Title Presentation:  "Machine learning on GAP8 for tiny devices"
 

src/products/ai-deck.md

@@ -24,7 +24,7 @@ Artificial Intelligence in a Nutshell
 {% row_icon_text_links How it works; fa-cogs %}
 {% row_text %} Edge AI computing for the Crazyflie is now available!
 
-Thanks to the [GAP8 IoT application processor](https://greenwaves-technologies.com/gap8_mcu_ai/) from [GreenWaves Technologies](https://greenwaves-technologies.com/) and a camera, the AI-deck provides the essential hardware for capturing, analyzing, and classifying its environment. Originally presented by [ETH Zurich](https://ethz.ch/en.html) as the [PULP-Shield PCB design from IIS-ETHZ](https://arxiv.org/abs/1905.04166), this lightweight, low-power combination is ideal for embedded AI research and development on the micro-sized Crazyflie 2.x.
+Thanks to the GAP8 IoT application processor from GreenWaves Technologies and a camera, the AI-deck provides the essential hardware for capturing, analyzing, and classifying its environment. Originally presented by [ETH Zurich](https://ethz.ch/en.html) as the [PULP-Shield PCB design from IIS-ETHZ](https://arxiv.org/abs/1905.04166), this lightweight, low-power combination is ideal for embedded AI research and development on the micro-sized Crazyflie 2.x.
 
 The {% poplink ai-deck %} 1.1 expands onboard computational capabilities, enabling experimentation with custom artificial intelligence workloads, including potential autonomous navigation implementations. The ESP32 provides WiFi connectivity and can be programmed to handle custom communication tasks.