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CARTHA / The Form of Form / Issue I / How to Learn Better

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The presentation delves into the significance of the concept of the Environment in Architecture, examining whether the term could be construed as a constant or a variable. Supported by a series of examples from the Alpine context, it seeks to illuminate th ...

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Protecting ML classifiers from adversarial examples is crucial. We propose that the main threat is an attacker perturbing a confidently classified input to produce a confident misclassification. We consider in this paper the attack in which a small number ...

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Designing cities in a changing world. Opening words

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Landscape and training regimes in deep learning

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Deep learning algorithms are responsible for a technological revolution in a variety oftasks including image recognition or Go playing. Yet, why they work is not understood.Ultimately, they manage to classify data lying in high dimension – a feat generical ...

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Although 'arrival infrastructure' is central to the experience of migrants arriving in a new city, is it sufficient to form a 'hospitable milieu'? Our article compares newcomers' experiences with 'arrival infrastructure' in two European cities: Brussels an ...

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Between Hospitality and Inhospitality: The Janus-Faced 'Arrival Infrastructure'

Luca Giovanni Pattaroni, Guillaume Simon Joseph Drevon, Maxime Carl Felder, Marie Hannah Florence Trossat, Joan Stavo-Debauge

Although ‘arrival infrastructure’ is central to the experience of migrants arriving in a new city, is it sufficient to form a ‘hospitable milieu’? Our article compares newcomers’ experiences with ‘arrival infrastructure’ in two European cities: Brussels an ...

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