ML2Grow's recipe for business-wise AI success stories

AI is cool. AI is hot. AI can make computers win Jeopardy<...

  • Peter Dedecker
  • 19 Sep 2019

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...

  • Julie Derumeaux
  • 13 Sep 2019

ML2Grow presents optimization of 3D printing jobs

3D printing and Machine Learning are both disruptive technologies that will define the future. But what when both technologies enrich each other? That's the main topic of our pr...

  • Peter Dedecker
  • 12 Sep 2019

ML2Grow attracts former MP Peter Dedecker

Technology startup ML2Grow, specialised in AI and machine learning, has attracted former MP Peter Dedecker to further develop the company's position and commercial activities. C...

  • Julie Derumeaux
  • 4 Sep 2019

Machine Learning for your Grandma

Practical applications of Artificial Intelligence such as self-driving cars, facial recognition and advanced recommender systems will have a profound impact on the way we live and ...

  • Julie Derumeaux
  • 23 Jul 2019

It's not magic, it's data!

Countless companies are either working on machine learning projects or are dreaming of using the technology as quickly as possible. However over time, many of these ambitious pr...

  • Julie Derumeaux
  • 9 May 2019

It’s training cats and dogs

Image recognition is one of the biggest success stories of machine learning technology and can be found everywhere in our lives, used daily by thousands of companies and million...

  • Julie Derumeaux
  • 23 Apr 2019

Serving GPflow models

Deploying models as webservices has become straightforward using TensorFlow: exporting the graph as SavedModel allows easy deployment with Tensorflow Serve or the Cloud ML engin...

  • Joachim van der Herten
  • 17 Apr 2019

Recommender Systems

Recommendations systems are not new. In 2006, Netflix started a one million dollar competition to improve their recommendation algorithms. In 2019, 75% of their viewed c...

  • Julie Derumeaux
  • 29 Mar 2019

ML2Grow and invibes advertising start strategic partnership

Invibes advertising, an advanced technology company specializing in digital in-feed advertising, takes a 50% stake in ML2Grow.

  • Anton Van Moere
  • 1 Mar 2019

ML2Grow’s secret recipe for customer churn prediction

Customers churn when they stop purchasing your goods or services. While usually no expense is spared to find and attract new customers, the same seldom applies to...

  • Julie Derumeaux
  • 22 Jan 2019

It’s a match! ML2Grow welcomes three new colleagues

We were able to welcome no less than three new colleagues in October! Anton arrived as software engineer after he did his master's thesis with Joeri. Julie and Mike are complete...

  • Julie Derumeaux
  • 13 Dec 2018

Introducing μDatastore, an ODM for Google Cloud Datastore

ML2Grow releases an open source Object-Document Mapper framework for use with the Google Cloud Datastore.

  • Anton Van Moere
  • 21 Nov 2018

ML2Grow is deploying machine learning at the Port of Antwerp to enable 8-hour lookahead capacity planning

There is a worldwide growth of shipping traffic challenges, planning routines and systems in large trading hubs, such as the Port of Antwerp. CVBA Brabo -a company with a long h...

  • Mike Vanderroost
  • 5 Nov 2018

Towards an accurate yield prediction in tomato greenhouses

ML2Grow is installing sensors and gathering data at the Tomato Masters facility

  • Joeri Ruyssinck
  • 25 Jul 2018

Deploying a private package repository on Google App Engine

ML2Grow developers release an open source project for setting up a private package repository on Google cloud

  • Joachim van der Herten
  • 21 Nov 2017