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At Brainjar, we are real Apple fans. Most of us use a MacBook Pro, and when Apple released the new MacBooks with upgraded hardware (M2 Pro and M2 Max chips), we couldn’t wait to order them and test them out. Of course, as we are all AI engineers and data scientists, we couldn’t let the opportunity pass by to test the M2 chips and benchmark them. 

 

Data, the backbone of machine learning

You can compare machine learning without data to a car without fuel — you won’t get far if you don’t have any. So, whenever we start a new AI project, we first look at the data, as our systems are only as good as the data we use to train the model.

While looking for internships, I thought of searching for an AI-based project at De Cronos Groep or even Brainjar specifically since multiple friends had recommended an internship with them. So, when my time came to apply for internships, I did not hesitate to contact them and was very excited when they responded for an interview.

The impact of machine learning on the environment. Do you often reflect and think about it? Where does the responsibility of making green choices lie? Users, researchers, programmers, hardware developers, or somewhere else?

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. 👇🏼

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.