Publicaties

Op het gebied van artificiële intelligentie, zijn artificiële neurale ne twerken (ANNs) een interessant hulpmiddel: ze bieden goede prestaties en kunnen worden toegepast op problemen waarvoor de directe oplossing niet bekend is. Inderdaad, ANNs kunnen worden getrained door voorbeelden. On der ANNs, recurrente neurale netwerken (RNNs) zijn bijzonder goed geschi kt voor taken die een tijdscomponent inhouden, vermits hun terugkerende lussen hen ...

A field survey of zooplankton communities was carried out in 32 recently established tropical semi-arid reservoirs in the highlands of Northern Ethiopia with the aim to identify to what extent environmental factors determine species composition of the cladoceran community in such isolated and young reservoirs. To address seasonal variation, the survey was carried out both at the beginning and the end of the dry season. A total of 15 species of ...

Despite our ability to suppress HIV-1 replication indefinitely in people on optimal combined antiretroviral therapy (cART), HIV-1 persists as a stably integrated and replication-competent provirus in a heterogeneous collection of long-lived cells (often referred to as 'latent reservoirs') in all individuals on treatment. Reactivation of these latent proviruses is believed to be responsible for the rebound viraemia that can be seen in nearly all ...

Reservoir Computing is a novel method in the field of neural networks and machine learning, which combines the computational power of a nonlinear dynamic system with the ease of training of a linear classifier. The basic setup is as follows: a sufficiently complex network of nonlinear nodes (called the reservoir) is excited by an input signal, and the instantaneous dynamic response of the system is then used to train a simple linear readout ...

Despite covering a small portion of the earth's surface, lakes and reservoirs offer enormous benefits to human society, environmental well-being, and economic welfare. Previous studies have provided insights into specific subjects, yet integrated perspectives on the development of the two waterbodies are missing. To this end, we conducted a bibliometric analysis as a systematic data gathering to perform a large-scale overview and assess global ...

As the performance increase of traditional Von-Neumann computing attenuates, new approaches to computing need to be found. A promising approach for low-power computing at high bitrates is integrated photonic reservoir computing. In the past though, the feasible reservoir size and computational power of integrated photonic reservoirs have been limited by hardware constraints. An alternative solution to building larger reservoirs is the ...