A Study on using a Rust-based dynamic Module system in WebAssembly for processing Data

I have also published the source code of this on Codeberg (EU Git hosting) and Github (US Git hosting). Nowadays we have a plethora of programming languages and platforms at our fingertips. They have different advantages and disadvantages depending on the use case and preferences. Often many different combinations of components are used for data… A Study on using a Rust-based dynamic Module system in WebAssembly for processing Data weiterlesen

Modern Cloud Application Delivery: WASM and WASI

I described in a previous blog post that modularity will play a key role in future enterprise applications. This is demonstrated in the current trends of serverless functions or containerized architectures. However, those solutions are not perfect: Given the trend of many different computing architectures, such as ARM on servers, Internet of Things (IoT) Edge… Modern Cloud Application Delivery: WASM and WASI weiterlesen

Semantic Versioning for Artificial Intelligence (AI) 1.0.0

Artificial Intelligence (AI) becomes more and more part of some applications catering for the needs of many people. While AI is part of software products it has a very different velocity and less predictable needs for change. Especially if it addresses open-ended domains, such as natural language processing (NLP), where the content can change or… Semantic Versioning for Artificial Intelligence (AI) 1.0.0 weiterlesen

The Question of Maintenance of pre-trained Machine Learning Embeddings

I will address in this post the issue of maintenance of large pretrained embeddings within Artificial Intelligence (AI) services. While this issue has some links to ethical aspects (see for example the European Commission’s guidelines on trustworthy AI or here), the focus here is on maintainability of those embeddings as part of MLOps. Software Maintenance… The Question of Maintenance of pre-trained Machine Learning Embeddings weiterlesen

AI Applications and Systems for Deep Logic and Probabilistic Networks

This blog post describes the integration of deep learning, logic and probabilistic reasoning to enable advanced artificial intelligence tasks. The combination of completely different set of AI approaches will be one of the key advances to support AI driven business processes in the coming years. Furthermore, I describe challenges for operating such complex AI systems… AI Applications and Systems for Deep Logic and Probabilistic Networks weiterlesen