Jul
29,
2024
Art and creativity with AI
Thanks to artificial intelligence, there are no limits to your creativity. Programs like Vecentor or Mann-E, developed by Muhammadreza Haghiri, make it easy to create images, vector graphics, and illustrations using AI. In this article, explore how machine learning and generative models like GPT-4 are transforming art, from AI-generated paintings...
Apr
17,
2024
Building Ethical AI: A Guide for Developers on Avoiding Bias and Designing Responsible Systems
The intersection of philosophy and artificial intelligence may seem obvious, but there are many different levels to be considered. We talked to Katleen Gabriels, Assistant Professor in Ethics and Philosophy of Technology and author of the 2020 book “Conscientious AI: Machines Learning Morals”. We asked her about the intersection of...
Oct
12,
2021
What is Data Annotation and how is it used in Machine Learning?
<div style="text-align: justify;">What is data annotation? And how is data annotation applied in ML? In this article, we are delving deep to answer these key questions. Data annotation is valuable to ML and has contributed immensely to some of the cutting-edge technologies we enjoy today. Data annotators, or the invisible...
Sep
14,
2021
Neuroph and DL4J
<div style="text-align: justify;">In this article, we would like to show how neural networks, specifically the multilayer perceptron of two Java frameworks, can be used to detect blood cells in images.</div>
Jul
20,
2021
Top 5 reasons to attend ML Conference
<div style="text-align: justify;">So you’ve decided to attend ML Conference but you don’t know how to break it to your boss that it is a win-win situation? Don’t worry, we’ve got you covered. Follow 4 simple steps and use these 5 arguments to show why your organization needs to invest in...
Jun
9,
2021
Anomaly Detection as a Service with Metrics Advisor
<div style="text-align: justify;">We humans are usually good at spotting anomalies: often a quick glance at monitoring charts is enough to spot (or, in the best case, predict) a performance problem. A curve rises unnaturally fast, a value falls below a desired minimum or there are fluctuations that cannot be explained...
Tools & Processes for MLOps
<div style="text-align: justify;">Training a machine learning model is getting easier. But building and training the model is also the easy part. The real challenge is getting a machine learning system into production and running it reliably. In the field of software development, we have gained a significant insight in this...
Mar
15,
2021
On pythonic tracks
<div style="text-align: justify;">Python has established itself as a quasi-standard in the field of machine learning over the last few years, in part due to the broad availability of libraries. It is logical that Oracle did not really like to watch this trend — after all, Java has to be widely...
Feb
16,
2021
Understanding Language is a Frontier for AI
<div style="text-align: justify;">In recent years we have seen a lot of breakthroughs in AI. We now have deep learning algorithms beating the best of the best in games like chess and go. In computer vision these algorithms now recognise faces with the same accuracy as humans. Except they don’t, they...
Jan
7,
2021
Real-time anomaly detection with Kafka and Isolation Forests
<div style="text-align: justify;">Anomalies - or outliers - are ubiquitous in data. Be it due to measurement errors of sensors, unexpected events in the environment or faulty behaviour of a machine. In many cases, it makes sense to detect such anomalies in real time in order to be able to react...