RECERCAT: Enviaments recents
Ara mostrant els elements 1321-1340 de 431816
The role of spatial plans adopted at the local level in the spatial planning systems of central and eastern European countries
The article deals with the issue of spatial plans at the local level. The aims of this paper are (1) extracting the characteristics of local spatial plans that can be compared more broadly (2) identifying, on this basis, ...
Unveiling the challenge of evaporator design in clean water production promoted by superabsorbent hydrogels and sunlight
Climate change is affecting water availability and the supply. This situation is particularly worrying in Mediterranean area countries, where droughts are becoming increasingly long and severe. Herein, a superabsorbent ...
[Ressenya de] Alice Tavares, “Raimundo Lulo e o Livro de Corte Imperial: um exemplar de literatura de polémica judaico-religiosa medieval”
[Ressenya de] Tavares, «Raimundo Lulo e o Livro da Corte Imperial: um exemplar de literatura de polémica judaico-religiosa medieval» L’autora proposa una anàlisi de l’obra apologètica Llibre de la cort imperial, amb una ...
Modulation of large-scale brain networks by transcranial direct current stimulation evidenced by resting-state functional MRI
Background: Brain areas interact mutually to perform particular complex brain functions such as memory or language. Furthermore, under resting-state conditions several spatial patterns have been identified that resemble ...
La prueba de los deepfakes pornográficos: I.A. sobre I.A.
En los próximos tiempos se van a empezar a encontrar con bastante frecuencia en los procesos los llamados deepfakes. Se trata de falsificaciones realizadas con inteligencia artificial que pueden alcanzar una perfección que ...
SORS: accurate predictions for high-performance processors
Prediction is a fundamental technique for designing high-performance computers. Prediction techniques are used nowadays for a large number of performance optimizations. This talk presents advanced mechanisms for (1) data ...
"Cooling in a warming world: the role of near term climate forcers"
In a warming climate due to the increasing abundance of greenhouse gases, it is important to acknowledge and study other potentially competing climate drivers, such as Near Term Climate Forcers (NTCFs). These are atmospheric ...
LOCA Series: addressing challenges in core microarchitecture research
Core microarchitecture research is the study of how to implement an Instruction Set Architecture for a general-purpose processor. The field has been studied for decades, but remains crucial due to the evolving demands of ...
XiangShan: an open-source project for high-performance RISC-V processors meeting industrial-grade standards
It is widely recognized that the open-source hardware ecosystem can reduce development costs and lower barrier to innovation. Within this ecosystem, developing an industrial-grade high-performance processor has thus far ...
Detecting and attributing climate change-driven shifts in terrestrial ecosystem vegetation activity
Climate change is disrupting the normal functioning of Earth's systems. However, detecting changes in vegetation dynamics and structure, and attributing them to human-induced climate change, has proved difficult. Collins ...
Cancer genomics to study the origin and evolution of pediatric tumors
Pediatric cancer is the leading cause of disease-related death in children in developed countries. However, compared to adult cancer, pediatric cancer is a rare disease. Pediatric tumors are different from their ...
OceanPrediction Decade Collaborative Center: promoting ocean forecasting in the framework of the decade
The OceanPrediction Decade Collaborative Centre (OceanPrediction DCC), hosted by Mercator Ocean International, is a cross-cutting structure working at the global scale to promote collaboration between Decade Actions and ...
Detection, attribution, and decadal prediction of climate change impact on health outcomes
Climate change impacts on health are increasingly apparent with regular exposure to intensive heat waves, surges and emergence of diseases, and mortality. Quantification of these impacts and tracing them to anthropogenic ...
SORS/WomenInBSC: artificial intelligence - discriminating or including?
This talk provides a brief outlook on the future of AI based on current developments. It sheds light on the role of diversity in AI research and development and how AI systems become discriminating. The types of bias will ...
Machine learning-accelerated predictions of design allowable of composite laminates
The generation of design allowables for composite laminates is crucial for aerospace composite structure design and certification. Typically, determining these design allowables involves costly and time-intensive experimental ...
EuroHPC AI in DAPHNE
Cardiovascular disease (CVD) manifests and progresses differently in men and women, a phenomenon known as sex bias. Understanding the mechanisms underlying this sex bias is critical to the development of sex-specific ...
AI, supercomputers, art: tying it all together
Generative Models are powerful tools for artists and designers. With the emergence of diffusion models, prompting has become the de facto standard of interacting with such tools. However, when it comes to discovering new ...
Biodiversity horizons: towards a framework for predicting climate risks to biodiversity at actionable timescales
Climate change is increasingly exposing biodiversity to harmful temperatures, resulting in range shifts, die-offs, and population declines. However, most biodiversity projections focus on a few specific time points, typically ...
SORS: machine learning in systems biology: now and next
For decades, bioinformatics has been concerned with gaining new knowledge from large data sets in the life sciences. Machine learning, often referred to as artificial intelligence, has enabled breakthroughs in bioinformatics ...
Mixed position neural networks with second order Taylor for the bit assignment
In this work, we present an innovative approach for neural network quantization using second-order Taylor approximations of the loss function to predict quantization error. Specifically, we calculate the Hessian of the ...
