Hi, I'm Martins. This is a mélange of my writings and explorations. I'm a grad student studying misinformation detection using machine learning.
I previously was a data scientist at a startup, and before that, I graduated with an MEng in Aerospace Engineering.
Having been a student at Queen's quite some time now, I am well aware of how the library can become saturated with rather disconcerted-looking students when occupancy peaks. I was curious to know how useful the occupancy information could be at such times. So I began exploring the website and later found a way to collect the data on it.
Quite a while ago, I wrote about an application I made using api.ai, a conversational UX platform with a powerful voice recognition engine. Api.ai allows you to control your application using voice recognition, amongst other services it offers. I've been looking at how tech like this can be integrated into IoT applications. In this post, I will discuss an example I recently explored: turning lights on and off, using voice commands.
The Wolfram Language (WL) is packed with functions that make it adept at manipulating text. One can write programs with the Wolfram Language using Mathematica, online, or even on Twitter!
I was excited when I first heard about the Intel Edison when it was announced at the 2014 CES. At the time of this announcement, the Intel Edison was the size and shape of an SD card, yet running Linux, and had Wi-fi and Bluetooth onboard. What got me even more excited was that it was going to have Mathematica on it.
© 2021 Martins Dogo
"Everything new is on the rim of our view, in the darkness, below the horizon, so that nothing new is visible but in the light of what we know." — Zia Haider Rahman