AI-POWERED ANNUAL CONSUMPTION FORECASTING

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 [...]

THINKERPRISE

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 [...]

NEUTRAWEED

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 [...]

AUTOMATA

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 [...]

NEUTRAWEED: REDIFINING WEED MANAGEMENT

  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 [...]

Deep learning and financial predictions

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 [...]

FIRENET technical overview

The aim of this paragraph is to introduce the curious reader to the construction of FIRENET and the underlying theory. See the blog post. As we mentioned before, a model is unstable if there exist [...]

A stable neural network for Image Super Resolution

This article is about the of stability of neural networks output when dealing with the Image Super Resolution problem, i.e. that of recovering the original high-resolution image by a corrupted low-resolution version of it. This [...]

R for aRchaeologists School @University of Pisa

The Winter School “R 4 aRchaeologists” is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data. Gabriele Gattiglia (@University of Pisa), Nevio Dubbini (@Miningful Studio), [...]

Data-Driven Humanities

Data-driven methods are becoming more and more important in Humanities. Fundamental. Digital tools have been producing a huge increase in the amount of data, in forms that only computers can process. A point has been [...]