Teaching a robot to recognize weeds requires thousands of photographs in which every single plant has been manually labeled by an expert who can distinguish between species. It is a time-consuming process with limited reusability: it often has to be [...]
A Miningful case study in Manufacturing / Operations / Predictive Maintenance contexts Unexpected equipment downtime is one of the most costly and disruptive challenges in industrial production. Traditional maintenance strategies generally follow one of two approaches: components [...]
A Miningful case study in Manufacturing / R&D / Materials contexts The development of new material compounds is traditionally a lengthy, iterative process. Engineers define candidate formulations, test their physical properties, analyze the results, refine the recipe, [...]
A Miningful case study in utilities/water/gas contexts At the end of each year, the total consumed volume is a key input for operational and business estimates, including the assessment of losses and other performance indicators. However, waiting until 31 [...]
Turn Operational Data into Predictive Intelligence Every day, companies generate data and events across production lines, maintenance systems, logistics, quality control, and commercial operations. While these data are continuously collected, they are often used only to understand [...]
The research project The NEUTRAWEED project, through AI-assisted and robotic technologies, addresses one of the major environmental and operational challenges in modern farming: the excessive dependence on herbicides and intensive tillage practices. [...]
The research project: AUTOMated enriched digitisation of Archaeological liThics and cerAmics The AUTOMATA project, funded under the European Horizon programme, is developing a new generation of AI-assisted workflows for the non-destructive analysis [...]
Innovation meets agriculture and sustainability thanks in NeutraWeed, an international project involving 15 organizations from 9 countries across Europe, America, Asia and Africa. Funded by the Horizon Europe program under the Marie Skłodowska-Curie Actions, the project aims to improve and transform [...]
This article concerns the use of deep learning techniques in predicting stock prices. This was the topic of Vittorio Cecchetto: "Deep Learning for natural language analysis in the field of stock market movement prediction." The prediction of a stock price, in [...]
Introduction Artificial Intelligence (AI) techniques have become increasingly useful tools in many fields, such as medicine, economy, environmental sciences and gaming. Over the last ten years, AI-based methods have also been explored in archaeology (GUALANDI et al., 2021) and, [...]