Log AI (mini-project) – A Raspberry Pi DIY Amazon Echo in a wooden log

This was my Christmas holiday mini-project, shot entirely as a Snapchat story a few months back and then edited slightly for YouTube.

It’s basically a Raspberry Pi Powered DIY Amazon Echo, I built using the Alexa Voice Service.

Instead of cold plastic I decided to build the home AI hub into the body of a nice wooden log.


All the music in this video was created by an AI music composer at Jukedeck.com


Facebook’s Caffe2 AI tools get to iPhone, Android, and Raspberry Pi

Your mobile may soon be able to recognise items in images without the need of getting access to the cloud

New intelligence can be added to smart phones just like the iPhone, Android gadgets, and low-power computer systems such as Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 may be used to program artificial intelligence features into smartphones and tablets, letting them realize photographs, movie, text, and speech and be more situationally aware.

It’s important to take note that Caffe2 is not an Artificial intelligence program, but a tool making it possible for AI to be programmed into mobile phones. It takes a very few lines of code to write learning models, which could then be incorporated into apps.

The launch of Caffe2 is important. It means people will be ready to get image recognition, natural language processing, and computer vision straight on their mobile phone. That job is commonly offloaded to remote servers in the cloud, with mobile phones then connecting to it.

Mobile gadgets are having more and more artificial intelligence abilities. More devices are being incorporated with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 mobile phones are going to get the Bixby voice assistant, which should make using the devices far simpler.

Caffe2 can function within the power constraints of mobile gadgets. It works with mobile hardware to hasten up AI apps and create neural networks.

Caffe2 uses the computing power of cutting edge mobile hardware to hasten up deep-learning tasks. For example, in mobile phones, Caffe2 will use the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chips.

Continue reading at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Leave a Reply

Close Menu