Jan

28,

2020

Deep Learning: Not only in Python

Although there are powerful and comprehensive machine learning solutions for the JVM with frameworks such as DL4J, it may be necessary to use TensorFlow in practice. This can, for example, be the case if a certain algorithm exists only in a TensorFlow implementation and the effort to port the algorithm...

Blog, ML & Deep Learning

How Deep Learning helps protect honeybees

Nov

19,

2019

How Deep Learning helps protect honeybees

Honey bee colony assessment is usually carried out by manually counting and classifying comb cells. Thiago da Silva Alves explains in this interview how deep learning can help to accomplish this time-consuming and error-prone task.

Blog, Generative AI & Agents

Generative Adversarial Networks: “GANs can create new ‘realities’ that never existed”

Oct

29,

2019

Generative Adversarial Networks: “GANs can create new ‘realities’ that never existed”

<div style="text-align: justify;">Generative Adversarial Networks (GANs) have recently sparked an increasing amount of interest, as they can generate images of faces that look convincingly real. What else are they capable of, what risks could they pose in the long run, and what do they have in common with the emerging...

AI Developer Tools, Blog

Machine Learning finds its way into .NET with .NET Core 3

Oct

24,

2019

Machine Learning finds its way into .NET with .NET Core 3

.NET Core is not only including WPF and WinForms in the new open source implementation of .NET - Microsoft now wants to make machine learning usable for everyone. That's why machine learning is now making its way into .NET Core with the ML.NET Framework. In this series of articles, we'll...

Blog, ML & Deep Learning

“Tricking an autonomous vehicle into not recognizing a stop sign is an evasion attack”

Sep

25,

2019

“Tricking an autonomous vehicle into not recognizing a stop sign is an evasion attack”

As machine learning technologies become more prevalent, the risk of attacks continues to rise. Which types of attacks on ML systems exist, how do they work, and which is the most dangerous? ML Conference speaker <a href="https://mlconference.ai/speaker/david-glavas/" target="_blank" rel="noopener">David Glavas</a> answered our questions.

AI Developer Tools, Blog

Innovative machine learning with the Apache Kafka Ecosystem

Sep

17,

2019

Innovative machine learning with the Apache Kafka Ecosystem

<div style="text-align: justify;">Machine Learning (ML) allows applications to obtain hidden knowledge without the need to explicitly program what needs to be considered in the process of knowledge discovery. This way, unstructured data can be analyzed, image and speech recognition can be improved and well-informed decisions can be made. In this...

AI Strategy & Governance, Blog

Sep

10,

2019

4 arguments to convince your boss

You can't see the forest for the trees anymore, and you need new inspirations urgently? Then ML Conference is the place to be. Connect with like-minded people, widen your horizon while gaining deep insights and practical knowledge of the latest trends and technologies.

Blog, ML Basics & Principles

Aug

2019

Neural networks with PyTorch

<a href="https://pytorch.org/">PyTorch</a> is currently one of the most popular frameworks for the development and training of neural networks. It is characterized above all by its high flexibility and the ability to use standard Python debuggers. And you don’t have to compromise on the training performance.

AI Strategy & Governance, Blog

How UX can demystify AI: “We need more than just technical transparency”

Jul

19,

2019

How UX can demystify AI: “We need more than just technical transparency”

Can UX demystify AI? Ward Van Laer answers this question in his session at the ML Conference 2019. We invited him for an interview and asked him how to solve the black box problem in machine learning by merely improving the user experience.

AI Strategy & Governance, Blog

The Ethics of AI – dealing with difficult choices in a non-binary world

Jul

2019

The Ethics of AI – dealing with difficult choices in a non-binary world

In the field of machine learning, many ethical questions are taking on new meaning: On what basis does artificial intelligence make decisions? How can we avoid the transfer of social prejudices to machine learning models? What responsibility do developers have for the results of their algorithms? In his keynote from...

Welcome to our Blog

Deep Learning: Not only in Python

How Deep Learning helps protect honeybees

Generative Adversarial Networks: “GANs can create new ‘realities’ that never existed”

Machine Learning finds its way into .NET with .NET Core 3

“Tricking an autonomous vehicle into not recognizing a stop sign is an evasion attack”

Innovative machine learning with the Apache Kafka Ecosystem

4 arguments to convince your boss

Neural networks with PyTorch

How UX can demystify AI: “We need more than just technical transparency”

The Ethics of AI – dealing with difficult choices in a non-binary world

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