De verschillende vormen van Machine Learning

Er bestaat veel verwarring tussen de termen AI, Machine Learning en Deep Learning. Ze worden ook vaak door elkaar gehaald. In deze blogpost gaan we kort uitleggen wat deze termen nu betekenen.

De geschiedenis van AI

We nemen je kort mee doorheen de geschiedenis van AI.

NewsTAPAS VRT logo Roularta Media Group

NewsTAPAS, slimme aanbevelingstechnologie voor nieuwsapps

NewsTAPAS zal nieuwsapps toelaten om niet enkel de nieuwsberichten automatisch te laten aanpassen aan het profiel van de gebruiker maar ook aan het type toestel, moment van de dag en locatie.

AI4Growth industrial AI day

Op 17 september zal AI-expert Joeri Ruyssinck ons ​​laatste project toelichten: NewsTapas, een context-bewust aanbevelingssysteem voor nieuwsaanbieders.

HR manager checking staffmembers in AI HR application

Some thoughts about AI-based human behavior prediction

Why would you use Artificial Intelligence to monitor the availability, happiness and retention of your workforce? And will this data-driven strategy result in a foremost human approach? These questions were raised during different projects we’ve come along, and today we are sharing some of the answers we found along the way

Machine learning is an answer to the increasing complexity in the maritime sector.

Machine learning rightfully sparks the interest of the maritime sector. ML2Grow has been a partner to provide expert advice and new technology to a growing list of maritime players: CMB, MDK, Brabo and Port+.

You’re never too old for (deep) learning

Much of the attention artificial intelligence receives today is because of mind-boggling applications of deep learning. However, some concepts and the theoretical foundations of deep learning date back to the early 50’s. So what has changed? And why does Grandma need an update on these ‘hierarchical learning’ systems that are back in the picture with a cool kids’ name? Let’s have a look at how this deep learning actually works!

Getting Creative with Generative Adversarial Networks

Neural networks can simplify our lives, give them a boost and help us challenge ourselves. They can judge your outfit and send pick up lines to your matches on Tinder. The experimental phase of neural networks is not over yet. Generative Adversarial Networks (GANs) allow you to see what you would look like 20 years in the future, let Donald Trump say anything you want, or create your novel design chair.

ML2Grow’s recipe for business-wise AI success stories

AI is cool. AI is hot. AI can make computers win Jeopardy, play Pong at lightspeed (that’s even quite simple) and allows robots to make backwards salto’s. That’s fun. That’s impressive. But what’s the business value for you? How do we use the results of this magnificent research for real solutions for your company? Solutions that actually grow your business?

Getting Nostalgic with Recurrent Neural Networks

A Recurrent Neural Network (RNN) is a 20+ year old concept that is becoming relevant again due to advances in Deep Learning. Typical examples are speech recognition devices such as Alexa, Siri and Google home that respond to our questions and can perform some simple tasks. It can be found in google translations or chatbots. Despite the booming rise of RNN’s, many struggle to get intuition with it. This blog explains the concept of recurrent neural networks, sparing the math.

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