Over the past few years, we’ve seen some truly impressive advancements in AI and machine learning. I remember that 20 years ago, when I was studying Artificial Intelligence, even finding faces in images was a major challenge—something that smartphones now do effortlessly in real time. The same goes for speech recognition: once considered nearly impossible, it’s now embedded in tools like Siri, Alexa, Google Assistant, and even real-time translation apps. While voice assistants are still not perfect—as this video humorously shows—it’s clear that AI has come a long way. Today, AI opens the door to exciting new applications that were unimaginable just a few years ago. In this post, we explore key areas of AI and ML that app developers can leverage to create smarter, more engaging experiences. First, let’s look at Image Recognition…
At the beginning of the 90s, when I was about twelve years old, my mother decided to buy us a second hand
Olivetti 286 computer. The computer was a hand-me-down from Statistic Netherlands, the company I’m currently
working for. I loved the computer from the very start, and especially the games, which came on growing collections
of floppy disks (for everyone younger thant 30, those things that inspired the save icon :D). I was so enchanted
by those green-and-black games with bleeping music coming from the PC speaker, that I soon decided I wanted to write
my own games. I started learning my first programming languages, which had other-wordly names as QBasic and Turbo Pascal.
Together with my friend Joep, we spend hours, and countless summer holidays, trying to make yet another idea come into
fruition. While we never succeeded to actually finish a game, these days actually were the source of my love for programming
and creating things. It shouldn’t come as a surprise then that I choose to pursue a professional career as a software developer.
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