Constraint satisfaction problems (CSP) are at the core of numerous scientific and technological
applications. However, CSPs belong to the NP-complete complexity class, for which the …

Deep artificial neural networks apply principles of the brain's information processing that led
to breakthroughs in machine learning spanning many problem domains. Neuromorphic …

Though neuromorphic computers have typically targeted applications in machine learning
and neuroscience ('cognitive'applications), they have many computational characteristics that …

Neuromorphic technology is evolving rapidly, but it still faces two critical problems. Firstly, few
compelling applications exist that demonstrate the superiority of neuromorphic technology …

Nesta disertaçao é estudado experimentalmente o Efeito Seebeck de Spin Longitudinal (LSSE),
em bicamadas formadas por um isolante ferromagnético (FMI) e um filme metalico (M). …

Quinoa is a plant commonly-resistance to adverse biotic and abiotic factors. However, this
crop can be affected by phytopathogenic fungi. There is a lack of knowledge about the fungi …

Applications in robotics or other size-, weight- and power-constrained autonomous systems
at the edge often require real-time and low-energy solutions to large optimization problems. …

The potato, Solanum tuberosum, is the fourth most important crop for human food and is of
social and economic significance especially for developing countries. Burkholderia gladioli, …

In this article, we describe an algorithm for solving Quadratic Unconstrained Binary
Optimization problems on the Intel Loihi 2 neuromorphic processor. The solver is based on a …

The medical profession in Spain grew out of the Moslem texts and the Jewish practitioners
of the medieval period. During the thirteenth century the tradition of outstanding medical …