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 aims to improve and transform [...]

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 of a stock price, in [...]

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 small (in norm) perturbation [...]

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 was the topic of the [...]

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), Francesco Carrer (@Mazomos), and Joe [...]

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 reached where manual analyses of [...]

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