Meet us at the Stagemarkt HoWest on Thursday the 14th of September to explore how ML6 can launch your career!
Join us in our mission to create impact with intelligent technology.
We gladly accelerate you in taking your first steps into the professional world and towards the career of your dreams
Technical internships
● AI in Bio
● Energy
● Digital Twins
● Ops
● GenAI NLP
● GenAI Vision
● Information management (software)
● Open source platform Fondant
● Hybrid Solutions
Ready to accelerate? Apply here
Discover the DGA's impact on data sharing, privacy, and innovation, and how ML6 solutions align with its objectives.
October 2, 2023
By
Michiel Van Lerbeirghe
Unlock Machine Learning with Amazon SageMaker JumpStart: A Comprehensive Guide
September 28, 2023
By
Shubham Krishna
Fine-tune large language models for custom behavior and knowledge, weighing open source vs. closed source options.
September 13, 2023
By
Michiel De Koninck
Amazon recently announced their foundation model service: Amazon Bedrock. We got our hands on it as part of a limited preview. So, what’s in it for you?
September 6, 2023
By
Nikhil Nagaraj
At the end of college years, it can be very confusing to start determining your next steps. Are you 100% convinced about your choice of study? Do you have doubts about how your education plays out in practice? These questions certainly don't come as a surprise. There is a lot coming at you. For this reason, it is very interesting to explore the field in practice. Luckily, schools often offer that option through internships.
September 6, 2023
By
Julie Plusquin
Unlocking ASR Excellence: Fine-Tuning Whisper for Dutch Language
September 5, 2023
By
Sharon Grundmann
With the growing maturity of AI models and techniques, the technical art of the possible is no longer the most important ceiling.Company specific boundaries will come from the strategy of a company and the values it adheres to.
August 22, 2023
By
Edle Everaert
AI-Enhanced Product Photography: Revolutionizing E-Commerce Visuals
August 23, 2023
By
Bert Christiaens
Understanding this behaviour and explaining why full control is unachievable
August 22, 2023
By
Michiel De Koninck
The magical world of ChatGPT, troves of information, and levels of automation.
August 10, 2023
By
Jens Bontinck
Securing AI deployment in OT environments.
August 3, 2023
By
Rob Vandenberghe
Addressing ethical considerations in LLM development.
August 8, 2023
By
Lisa Becker
Visualising Dynamic Pricing modelling to build insights
August 3, 2023
By
Florentijn Degroote
Discover the potential of Google's PaLM 2 as we harness generative language models for achieving business success.
July 26, 2023
By
Brent De Hauwere
Learn how dynamic pricing has revolutionized e-commerce through probabilistic statistics, iterative modeling, and customer feedback.
July 24, 2023
By
Florentijn Degroote
Learn how to make your home battery smarter by connecting it to external inputs such as energy prices and weather. This can save up to 35% on electricity costs.
July 16, 2023
By
Juta Staes
Harness large foundation models affordably with LoRA technique for business applications.
July 13, 2023
By
Nikhil Nagaraj
ML6 tackles enzyme stability prediction in Kaggle competition, pushing boundaries in life sciences.
July 10, 2023
By
Pieter Coussement
Unleash Astonishing Animations with Stability AI's Stable Animation SDK
June 6, 2023
By
Brent De Hauwere
Exploring Recent Developments in Open Source LLMs and Their Implications.
May 19, 2023
By
Michiel De Koninck
Different methods available for fine-tuning Large Language Models (LLMs) and when to use them.
June 19, 2023
By
Lisa Becker
AI image generation without copyright infringement using a Creative Commons dataset.
June 29, 2023
By
Philippe Moussali
Comparing GCP and Azure from a developer's perspective.
June 26, 2023
By
Michiel De Koninck
Is AI only applicable within factories and large corporate organizations? Anything but. AI will (and already is) creating impact within the Human Resources branch as well. We speak with Julie Plusquin, Talent Partner at ML6 about what the evolution within HR may look like.
July 20, 2023
By
Julie Plusquin
The structure of FMOps to optimize your foundation model workflows.
June 7, 2023
By
Jan Van Looy
Introduction to Foundation Models and choosing the right one.
June 7, 2023
By
Jan Van Looy
Learn how intelligent technology can optimize procurement processes with insights from Iron Mountain, Google Cloud, and ML6.
April 21, 2021
By
Robbe Sneyders
ML6 shares insights and learnings on how to leverage AI for Industry 4.0 based on our experiences with world-leading manufacturers.
May 27, 2021
By
Jeffrey Hagen
Overcome manufacturing challenges with AI and Google Cloud. Learn from practical ML6 use cases and leverage machine learning retraining programs for improved operations.
September 2, 2021
By
Arne Vandendorpe
Discover the importance of Explainable AI (XAI) in understanding machine learning models and explore practical case studies, including Google's Vertex Explainable AI tool.
March 9, 2022
By
Caroline Adam
Learn how to improve training data quality and maximize AI model accuracy in our webinar on data-centric AI, with practical tips and advanced approaches.
June 9, 2022
By
Matthias Feys
Discover how AI is driving sustainability in energy systems and manufacturing, with pragmatic use cases for decarbonization and waste reduction.
November 24, 2022
By
Jeffrey Hagen
Explore the field of Hybrid AI, combining machine learning and expert rules for optimal outcomes. Learn its relevance, integration methods, and real-world examples.
October 17, 2022
By
Matthias Feys
Google just released its Generative AI offering. What is it and what does it mean for you?
June 5, 2023
By
Mathias Leys
Recording of the webinar on Generative AI for corporate use: How to get started with Large Language Models
June 2, 2023
By
Edle Everaert
Generative AI as your co-pilot: specialized AI models and their impact on design innovation.
May 25, 2023
By
Caroline Adam
Train neural networks faster with JAX on TPUs
March 2, 2022
By
Jasper Van den Bossche
Explore the practical implementation of dynamic pricing, its effectiveness, challenges, and the use of Thompson sampling to optimize prices.
December 12, 2022
By
Mathias Leys
Homomorphic Encryption for Deep Learning with Intel’s HE-Transformer - Exploring the possibilities of hosting an ML model to perform inference on encrypted data using homomorphic encryption.
July 16, 2019
By
Julien Schuermans
5 AI Applications to Enhance Retail Strategy Today
July 10, 2019
By
Stan Callewaert
Exploring Google's Edge TPU: What it is, how it works, and why it matters
March 14, 2019
By
Stan Callewaert
Deepstream 6.0 Python Boilerplate for Custom AI-based Multi-Sensor Processing and Video Understanding
January 17, 2022
By
Jules Talloen
Realtime Tennis Action Recognition with Movinet Stream: Sports Video Analysis in the Real World
October 15, 2021
By
Jules Talloen
Building Future-Proof Data Architecture: Key Insights and Recommendations
February 11, 2021
By
Robbe Sneyders
Improving tennis court line detection using machine learning for near real-time predictions.
March 13, 2023
By
Jules Talloen
Assessing Detic for object detection of thousands of classes.
May 17, 2022
By
Matthias Cami
A practical guide to efficient neural networks: model compression techniques including pruning, quantization, knowledge distillation, and optimization tricks like gradient checkpointing and accumulation.
November 24, 2021
By
Mats Uytterhoeven
Google's EdgeTPU Dev Board surpasses Intel's Movidius Stick with a >10x speedup in inference time.
March 13, 2019
By
Arne Vandendorpe
Learn how to use the ByT5 model for OCR correction, a token-free model that operates on raw bytes of text.
December 15, 2021
By
Lisa Becker
Open Sourcing Dutch Summarization Datasets for Transfer Learning
May 12, 2022
By
Implementing Zero Trust Architecture for Secure Remote Work
March 24, 2020
By
Rob Vandenberghe
Jens Bontinck shares his view on a recent technique called Reflexion
April 13, 2023
By
Jens Bontinck
Discover key amendments proposed in the EU AI Act, including banned and high-risk applications, regulations for foundation models and generative AI, and the impact on open-source components. Prepare for upcoming AI regulations and their implications.
May 17, 2023
By
Caroline Adam
Discover 3D optical acquisition methods: Stereo Vision, Structured Light, Time of Flight, and LiDAR.
May 21, 2023
By
Francisco Pereira
Discover the power of 3D computer vision and its impact on industries. Learn about advantages, applications, and trends.
May 19, 2023
By
Francisco Pereira
LoRA is revolutionizing fine-tuning for large AI models, enabling efficient adaptation without straining resources. Explore its principles, effectiveness, and impact on the open-source community.
May 17, 2023
By
Nikhil Nagaraj
In this article, we delve into the mind of Kaat Van Doren, Head of Talent & Culture at ML6, as she explores the role of curiosity within the organization and her own professional life at a podcast sit down with Cevora.
May 17, 2023
By
Kaat Van Doren
Explore the potential of large language models (LLMs) for businesses: models, tooling, challenges, and applications
May 16, 2023
By
Nikhil Nagaraj
In this blogpost we explore the different options out there around usage of ChatGPT and other GPT models. For every option we we determine the risks around compliance, security and privacy.
May 17, 2023
By
Rob Vandenberghe
We'll cover the basics of language models and how they can be trained on your organization's data to improve search accuracy, automate tagging, and even generate new content
May 9, 2023
By
Michiel De Koninck
This blog post explores the process of labelling speech data for Automatic Speech Recognition (ASR).
May 10, 2023
By
Lisa Becker
How we empower our agents in their own personal road to success.
March 31, 2023
By
Julie Plusquin
Discover the truth behind the hype of ChatGPT & GPT-4. Read about the potential game-changing capabilities of GPT-4 or if it's just another gimmick.
April 14, 2023
By
Mathias Leys
Jens Bontinck, Head of Delivery & Advice, shares his view on the status quo of AutoGPT. In this blogpost, you will not learn how to run it, nor will I go into details of the technical solution. Therefore, if you are a product owner, a functional analist, or a commercial enthousiast, this should be right up your alley. Happy to read your feedback!
April 18, 2023
By
Jens Bontinck
This blogpost covers the need for MLOps and how it helps to manage the complexity of machine learning models and deployments. Secondly, it addresses the business implications of implementing MLOps as a proper ecosystem. Lastly, the challenges of building an MLOps capability are covered to ensure the success of your machine learning initiatives at your organisation.
November 1, 2022
By
We explore how the connexion library facilitates API-first design with Python andtake a look at what the advantages are of API-first and compare with the opposite approach of “code-first”. Based on a benchmarking exercise and our values, we will dive deeper into why we are helping to maintain connexion.
January 20, 2022
By
Ruwan Lambrichts
What is Ethical and Trustworthy AI is and how do we at ML6 help our clients unlock the full value of AI and build trust with their customers, employees and society as a whole.
April 14, 2021
By
Caroline Adam
How we tackle information management at ML6 and how our tech radar helps us do this.
July 6, 2022
By
Georges Lorré
A guide on how to choose the right speaker diarization framework for your use case.
March 10, 2023
By
Philippe Moussali
This blog post explores the current state of AutoML tools and their ability to deliver on the promise of automating machine learning tasks without expert knowledge.
January 3, 2023
By
Julien Schuermans
We turn the wheel and make the most unproductive week, the most productive week of the year with our XMas Projects.
January 19, 2022
By
Florentijn Degroote
Data Engineer Liam takes a look at how Pipelines can be deployed on the new and improved GCP product, Vertex AI Pipelines. The recently released tool takes a more managed approach to Pipelines in GCP, which promises to make running MLOps pipelines in the cloud easier than ever.
August 31, 2021
By
Liam Campbell
Apache Beam has lots of I/O connectors available, but not all connectors are in your language of choice.
December 15, 2022
By
Andres Vervaecke
A practical guide to generating artificial data using Unity Perception.
May 22, 2022
By
Jules Talloen
Deploying a Scikit-learn Pipeline + LightGBM Classifier Model on Vertex AI for Explainable Online Predictions
October 26, 2022
By
We review and compare the previous SOTA generative models, from autoencoders to autoregressive models, and work our way to the discrete absorbing diffusion model.
August 11, 2022
By
Bert Christiaens
How to maximise the value of data to drive better performance of ML models while minimising the cost of doing so.
May 17, 2022
By
Caroline Adam
What do we do though if we don’t have any or enough usable data yet to get started? One obvious option is to collect (more) data. However, today we want to go beyond that. We will look at three other dimensions that can be relevant to unblock ML use cases: data protection, external data, and synthetic data.
September 6, 2022
By
Matthias Feys
When deploying a Transformer model, the complexity increases since besides the model one also needs to consider how to deploy the tokenizer. Is it best to deploy the tokenizer on the server or to have the end users handle it and what is the best way to deploy the tokenizer along with the model on the server so that inference latency and costs are minimized?
September 6, 2022
By
Shubham Krishna
Introduction blogpost to JAX : how it works, how it is different from Tensorflow/Pytorch and why we think every machine learning engineer should add it to its arsenal of tools.
February 3, 2022
By
Jasper Van den Bossche
In this blogpost we will discover the complexity of pooling that hides behind its apparent simplicity.
June 22, 2022
By
Mathias Leys
Semantic search from a business point of view and how it can bring value to your business processes.
November 7, 2022
By
Sven Rymenans
A practical overview on information retrieval, in particular Semantic Search.
May 9, 2022
By
Mathias Leys
Applications of using VQGAN combined with Discrete Absorbing Diffusion models.
August 30, 2022
By
Bert Christiaens
This blog post explains and demonstrates how to optimize the process of object detection when aiming for high accuracy using Google’s lightweight EfficientDet object detection model.
November 3, 2020
By
In this blog, we will uncover some pressing challenges within the Life Science manufacturing industry and how breakthroughs in Machine Learning techniques offer measurable returns.
April 28, 2021
By
Edle Everaert
Businesses in industries such as media, finance, jurisdiction and many more, tend to accumulate a large quantity of medium to long documents. Processing these documents can be challenging. We'll deep dive into the three main trends here.
November 24, 2021
By
Thomas Vrancken
In this blogpost we’ll set up a docker container to run an NVIDIA deepstream pipeline on a GPU or a Jetson and show you some tricks to get the most out of it! Deepstream’s documentation, guides and sample projects are few and far between, so this article aims to be a reference to get you from Deepstream zero to Deepstream-hey-I-can-make -a-pipeline-now and beyond!
May 14, 2022
By
Jules Talloen
In this blogpost, our ML engineer Juta will dive into the world of multimodal AI. Multimodal AI is able to reason about different modalities, such as text and images, at the same time and leads to more general understanding across domains.
September 7, 2021
By
Juta Staes
To prove our dedication towards information security, our security program is certified against the ISO/IEC 27001:2017 standard. This internationally accepted standard provides requirements for establishing, implementing, maintaining and continually improving information security within an organization. In this blogpost, we explain the why, what and how behind our ISO 27001 certification.
June 11, 2021
By
Rob Vandenberghe
Learn how to structure your data with knowledge graphs in this introduction blogpost to knowledge graphs and its business applications.
October 26, 2021
By
In this blogpost, we’ll explain how AI can help solve typical challenges in the commercial model of life sciences companies.
April 26, 2021
By
Sven Rymenans
How to approach uncertainty in machine learning : forecasting, regression and classification models.
September 19, 2022
By
Thomas Janssens
With our Advisory services, we support multiple clients in speeding up the adoption of AI and Advanced Analytics by giving concrete recommendations for their data & cloud architecture and application landscape. In Koen's latest blogpost, he explains our view on the modern enterprise team and shares five tips and tricks on how to make the most of your data and organize for success.
March 2, 2021
By
Jens Bontinck
We often get the question to forecast sales demand for customers. Recently we’ve done this successfully using Prophet. A new package called NeuralProphet builds upon this: it adds some neural networks to the mix. In this blog post we compare both time series forecasting models on a real-world dataset. We're predicting B2C sales volumes in retail to find out both methods' strengths and weaknesses.
June 2, 2021
By
Common hybrid NLP design patterns and look at example situations of when you should opt for which pattern.
October 5, 2022
By
Mathias Leys
A short while ago, we were happy to receive the news that ML6 won the 2020 ‘AI Innovator of the Year’ award in the prestigious Data News Awards for Excellence. To celebrate our award, we would like to share some behind the scene on how we foster innovation at ML6.
December 1, 2020
By
Robbe Sneyders
In this blogpost, we tackle the challenge of picking the right camera for your computer vision projects by outlining a few key camera characteristics and features that will help you wit your camera decision.
April 28, 2021
By
Arne Vandendorpe
In this blogpost we take a look at what data augmentation is and how you can efficiently discover good data augmentation strategies for your model and your use case.
April 28, 2022
By
Arne Vandendorpe
We are often asked how to detect very small objects in high resolution, i.e. very large images. A good example is finding objects in aerial images. The goal of this blog post is to demonstrate a practical approach to this problem using Slicing Aided Hyper Inference (SAHI).
September 11, 2021
By
Maximilian Gartz