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The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop […]
In this survey, we connect several lines of work from the pre-neural and neural era, by showing how hybrid approaches of words and characters as well as subword-based approaches based on learned segmentation have been proposed and evaluated. We conclude that there is and likely will never be a silver bullet singular solution for all
Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS.
I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more?
Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch Read More »
Scents play a central role in nature, as olfactory interactions are the language of life. In a new research project of the UvA Molecular and Materials Design Technology hub, scientists will use machine learning to predict what types of olfactory molecules interact with insect olfactory receptors. This information is important to develop safe-by-design molecules that
Identifying patterns in insect scents using machine learning Read More »
Yutong Liu & Kingston School of Art / Talking to AI 2.0 / Licenced by CC-BY 4.0 By Paul Harrison, Deakin University In a wave of new ads, brands like Heineken, Polaroid and Cadbury have started hating on artificial intelligence (AI), celebrating their work as “human-made”. But in these advertising campaigns on TV, billboards on
A backlash against AI imagery in ads may have begun as brands promote ‘human-made’ Read More »
Over the course of the year, we’ve had the pleasure of working with many talented researchers from across the globe. As 2025 draws to a close, we take a look back at some of the excellent blog posts from our contributors. TELL: Explaining neural networks using logic By Alessio Ragno This work contributes to the
By Michelle Willebrands PhD candidate Julia Wąsala searches for greenhouse gas emissions using satellite data. As a computer scientist, she bridges the gap between computer science and space research. “We really can’t do this research without collaboration.” Wąsala collaborates with atmospheric scientists from SRON (Space Research Organisation Netherlands) on machine learning models that detect large
Using machine learning to track greenhouse gas emissions Read More »
A grassy savannah style woodland in Western Sydney, NSW. By Qumarchi, CC BY-SA 4.0. By Dr Jessie Wells, Dr Robert Turnbull and Dr Attila Balogh Australia has the largest intact savannas on Earth. Savannas are an ever-changing mosaic of ecosystems – from the sparse grasslands to dense woodlands, forests and wetlands. They stretch from Cape
Australia’s vast savannas are changing, and AI is showing us how Read More »
Large language models systematically rate speakers of German dialects less favorably than those using Standard German. (ill./©: von der Wense Group; created with the help of AI). Large language models such as GPT-5 and Llama systematically rate speakers of German dialects less favorably than those using Standard German. This is shown by a recent collaborative
AI language models show bias against regional German dialects Read More »
