As technology pervades more devices, the assumption is that these gadgets should have some form of internet connection. But some of my favorite gadgets this year have been devices or services that don’t require a connection back to the web to work. Instead, they apply sensors and other technology in novel ways to deliver a tech-enabled product that I view as smart, but not connected.

Read the full article at: https://staceyoniot.com/all-hail-the-future-of-tech-enabled-dumb-devices/

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new AutoML technology that allows companies to embed ML into hardware and conduct learning on sensor data.

Read the full article at: https://insidebigdata.com/2019/12/08/qeexo-automl-demo-automating-machine-learning-for-embedded-devices/

In 1943 neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on neurons and how they work. A model was created using an electrical circuit and the neural network came into being. Seventy years later these beginnings have evolved into a number of large-scale projects by some of the top technology companies and technology communities around the globe – GoogleBrain, AlexNet, OpenAI, Amazon Machine Learning Platform are examples of some of the most well-known initiatives relating to AI and machine learning.

Read the full article at: https://www.embedded-computing.com/guest-blogs/exploring-embedded-machine-learning