Congressos: Recent submissions
Now showing items 121-140 of 11156
SORS: AI health research after the arrival of the EU AI Act
The new EU Regulation on Artificial Intelligence requires us to rethink the design and development of health research with AI systems. The casuistry is complex. While some of these systems are classified as high-risk, ...
SORS: advancing numerical simulations through load balancing and scalable data visualization
Understanding the need, effects and implications of load-balancing in large-scale numerical simulations is crucial for optimizing performance and resource utilization. As computer simulations are scaling up, effective ...
LOCA series/reading club: methodologies for the design and development of digital twins
A Digital Twin is a virtual copy or representation of a physical object. Given the same input, both should produce the same output. The data flow between them should keep both objects in the same state by automatically ...
SORS: best practices for trustworthy and ethical AI in biomedicine
Despite significant advances in artificial intelligence (AI) for healthcare, its applicability remains hindered by significant challenges in real-world practice. These include limited trust and ethical risks, such as ...
SORS: automated cross-architecture CARM modeling and application profiling
In recent years, HPC systems have become increasingly complex and heterogeneous, making application development and optimization challenging. To this respect, intuitive performance models like the Cache-aware Roofline Model ...
SORS/WomenInBSC: charting the romance dialectal continuum: insights into language similarity for catalan ASR
Estimating language similarity is useful for a range of NLP tasks, including the development of multilingual language models, selecting pivot languages in machine translation, and studying cross-lingual transfer. In ...
SORS: digital contact tracing and precision epidemiology: insights from a new tool to reduce and understand the transmission of respiratory pathogens
Digital contact tracing is a new public health approach developed and deployed worldwide during the COVID-19 pandemic. Contact-tracing apps measure proximity and duration of close contacts, allowing individuals who have ...
SORS: an integrated multiphysics approach to modeling and simulating the heart
We present an integrated computational framework for the simula- tion of the cardiac function. The framework comprises models for cardiac elec- trophysiology, myocardial contraction and deformation, fluid dynamics, valve ...
SORS/WomenInBSC: studying cell identity using single-cell epigenomic data
Recent breakthroughs in high-throughput sequencing of single cells are revolutionizing the biological and biomedical sector. Among the different -omics layers that can be measured at the single-cell level, single-cell ...
SORS: GPU@SAT: empowering edge computing for AI onboard satellites
In satellites, real-time processing often generates data that exceeds onboard computational capabilities. Traditionally, this data is transmitted to Earth for analysis. However, edge computing has shifted processing directly ...
SORS: scalable edge computing for autonomous UAVs: kubernetes-based deployment for real-time ai processing
This talk will explore how UAV docking stations can act as edge computing hubs to support real-time data processing for drone swarms. Leveraging Kubernetes (K3S) for lightweight orchestration, the system ensures resilient ...
SORS/WomenInBSC: The science of science communication: climate change risks
Citizens need to make informed decisions about climate change and associated risks, such as changes in temperature, rainfall or hazards such as flooding. Scientific institutions, government agencies, or nongovernmental o ...
SORS/WomenInBSC: improving predictions by combining models into a supermodel
To accelerate the skill of both short and long term predictions we combine state-of-the-art climate models and machine-learning based weather models into a ‘supermodel’, a novel form of physics-informed machine learning. ...
SORS: computer architecture research: moving the needle
With Dennard Scaling gone, and Moore's Law almost gone, if computer performance is to continue to improve moving forward, more will be demanded of computer architects...and that means doing research that moves the needle. ...
SORS: modern sensing and learning with machine learning
Sensing is a universal task in science and engineering. Downstream tasks from sensing include learning dynamical models, inferring full state estimates of a system (system identification), control decisions, and forecasting. ...
SORS/WomenInBSC: exploring neurodegenerative diseases in the era of machine learning
The presentation integrates three studies addressing different aspects of neurological diseases using machine learning (ML). The first study implements network analysis, protein language models (pLMs), and deep learning ...
SORS/WomenInBSC: multi-view and multi-modal foundation models for drug discovery
Drug discovery is a complex and costly process, often taking over a decade from target identification to FDA approval, with many candidates failing along the way. AI foundation models, applied to vast datasets of small ...
SORS: "Beyond self-reports: validating exogenous measures of news exposure through political learning" and "synthetic surveys for population insights"
This presentation has a twofold objective. Substantively, we revisit a longstanding question using computational social science tools: Do people learn about politics through news exposure? To overcome the limitations of ...
SORS/WomenInBSC: decoupling function from evolutionary conservation using protein language models
Function annotation is a challenging problem in Computational Biology. Relying on evolutionary relationships is often suboptimal for function assignment. In a collaborative work, we have extensively tested various deep ...
SORS: INFN-CNAF big data processing for high energy physics jobs monitoring
The modern data centres provide the efficient Information Technologies (IT) infrastructure needed to deliver resources, services, monitoring systems and collected data in a timely fashion. At the same time, data centres ...
