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This blogpost describes the master’s project I did at BrainCreators. My research subject was automatic text summarization, a challenging subfield of Natural Language Processing. In this post I first introduce you to the problem, then discuss the current advances in text summarization and describe the approach I took. Finally, I discuss the results of my…

This is part two of my blog series on how to improve clustering with deep learning techniques. In the previous part, I explained how clustering works and why it does not perform well with large and complex datasets. In this part, I will describe how deep learning techniques can be used to perform clustering and…

Through recent advancements in Artificial Intelligence, it is being more and more adopted into all areas of people’s lives and businesses, ranging from a farmer’s cucumber classification to automated fashion image tagging. One of the many benefits of AI is the possibility of picking up on more fine-grained patterns, which can help to give customers…

BrainCreators is proud to have received a Phase 1 grant from the European Union’s Horizon 2020 research and innovation programme for our BrainMatter platform. BrainMatter is an enterprise-grade lean AI platform that facilitates the full AI lifecycle from the creation of high-quality data sets to the training and deployment of AI models. The funding will…

We’re very excited to announce that BrainCreators has been chosen to partner with CORTEX – the Center for Optimal, Real-Time Machine Studies of the Explosive Universe. The National Science Agenda has awarded a 5 million euro grant to CORTEX.  The CORTEX consortium of 13 partners from academia, industry and society will make self-learning machines faster:…

Last February, OpenAI created a big fuzz with a blog post about their impressive language model, GPT-2, which is said to be capable of generating coherent and surprisingly human-like text documents. OpenAI claims it achieves state-of-the-art performance on many language modeling benchmarks without any task-specific training. The big fuzz, however, was not (only) about those…

There has been a lot of talk about how AI is going to transform our lives. It is an interesting topic, although it can be vague and speculative. To understand the phase we are currently in, it helps to look back at earlier transformations such as the industrial revolution in the early 1800s or the…

Allowing companies to transform speech into structured data to train AI models Zoom Media, a speech recognition software company and BrainCreators are partnering to combine the best AI specialists with state-of-the-art speech recognition models. This partnership will allow companies to transform speech into structured data to train AI models. In turn, this will enable businesses…

Last week saw the official launch of a cutting edge AI fashion platform, FashionBrain, that BrainCreators has created with with the US-based fashion company, Runway Manhattan. For years, Runway Manhattan has supplied fashion photos, videos and copy to publishers worldwide. This new platform is designed to make it easier for publishers to quickly track down…

What we got up to at CES 2019

Earlier this month we attended the 2019 edition of the CES trade show in Las Vegas where we saw a huge range of cutting edge tech from all over the world. We were selected to join the Dutch delegation alongside other passionate entrepreneurs, innovators and founders showcasing their tech solutions. BrainMatter launch CES also saw…

Takeaways from from AI in Practice

Earlier this month we held the first edition of AI in Practice at the Startup Village in Amsterdam Science Park, in collaboration with Capgemini Invent and IBM. We wanted to create an event that breaks through the Artificial Intelligence hype and showcases the real business value that’s already emerging from AI applications across sectors. We…

AI in Practice – 8th November 2018

We’re excited to announce that on the 8th November our first event will be taking place, organised in collaboration with IBM and Capgemini Invent. AI in Practice is the first of a series of events that will look beyond the AI hype, bringing you industry case studies and AI applications that are delivering real business…

Enterprise AI: lessons learned

As a Business Development Manager I bridge the gap between our clients and engineers. This role allows me to meet companies across a wide range of sectors, from genetic engineering and telecom providers to more traditional industries. In order to apply our AI expertise we need to quickly gain a deep understanding of each client….

This is the third part in a series of blog posts about my thesis project at BrainCreators. In the introductory part, I covered some basic concepts regarding AI explainability, the LIME algorithm, gave a short introduction to the python LIME library, and discussed some modifications of it I used during the project. In the second…

This is the second part in a series of blog posts about my thesis project at BrainCreators. In the introductory part, I covered some basic concepts regarding AI explainability, the LIME algorithm, gave a short introduction to the python LIME library, and discussed some modifications of it I used during the project. In this part,…

Who are you and what do you do at Braincreators? I am Martha, I am originally from Poland. Essentially I came to The Netherlands to study robotics. During my study, I realized that artificial intelligence was the part of robotics that was the most interesting to me. But then as I start to dive deeper,…

Meet Ozzy graduating for his Bachelor’s degree in AI My name is Osman, but everybody calls me Ozzy. I’m 21 years old and currently graduating at BrainCreators from my Bachelor’s degree in Artificial Intelligence (AI). Why did you choose to graduate at BrainCreators? I’ve chosen to graduate at BrainCreators, because I’ve done a research project…

This is the first part in a series of blog posts about my thesis project at BrainCreators.In this introductory part, I will cover some basic concepts regarding AI explainability, the LIME algorithm, give a short introduction to the python LIME library, and discuss some possible modifications of it. In the next part, I will show…

Memory Networks are a relatively new class of models designed to alleviate the problem of learning long-term dependencies in sequential data, by providing an explicit memory representation for each token in the sequence. In this entry I’ll explain the model architecture and why this is a good idea, providing use case scenarios along the way….