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Geertrui Mieke De Ketelaere makes a particularly energetic impression throughout the interview. And yet she calls herself functionally lazy.

"I am someone who really doesn't get energy from silly, repetitive actions, but prefers to be creative. As a kid, I was always optimizing my imposed tasks and thus often automating them. This is probably where my passion for tech comes from. Technology takes over certain tasks from humans. Think about a dishwasher or a car. I quickly saw the benefits of that."

In this blog, I want to give you some do’s and don’ts pointers when it comes to code optimization. In addition, I explain how you can identify possible optimizations in your code, and how to optimize.

A passion for AI and Big Data, that's what everyone in the audience shared on the evening of 10/5. Emilie Nenquin (VRT) and Nele Gerrits (VITO) inspired us with different AI use cases in our headquarters. Afterward, Clusity organized a warm networking session. Thanks to Clusity for organizing a successful event. Below you will find a summary and links to the presentations and photos. 👇🏼

“How can we improve fan experience during a sports match?”

Talking Teddy is an intelligent, IoT-driven bear that has conversations with children. Afterwards, he performs an analysis of the wellbeing of a child and notifies the parents.

The Brainhouse project's purpose was to put together a diverse squad of interns who would work on a case with social impact. This time, we tackled a case for ALS Liga.

'Next-level drive and dive' is typical for project manager Nelleke Doyen. She puts her talent for 'bringing gusto' in projects to good use in her work, where she brings her passion for innovative technology, AI, and people to life. Read her story.

After studying veterinary medicine in Portugal and kite surfing in the Philippines, Leonor Drummond retrained as a data scientist in artificial intelligence in Belgium. Her story consists mainly of learning a lot, preferably as fast as possible. Read here how Leonor found her place at Brainjar after an intensive agile journey, or rather, race.

Why not use some really serious, cool, advanced AI technologies to make something very fun and silly? Well, that is exactly what we aim to do on our so-called Brainjar days. During a Brainjar day, everyone on the team receives the opportunity to experiment with something of their choice. So, I thought: what if I could use AI image generation to merge two faces?

During my twelve-week-long internship at Brainjar, I created a deep learning model that can perform eye tracking using webcam images. In this blog, I’ll explain how I went to work.