Congressos: Envíos recientes
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Guies quirúrgiques personalitzades: Estat de l’art i revisió exploratòria
Aquesta monografia presenta una revisió bibliogràfica sobre les guies quirúrgiques personalitzades (GQP), una tecnologia emergent que està redefinint la precisió en diverses especialitats mèdiques. El treball analitza ...
SORS: Energy-efficient machine intelligence
Ever since the beginning of digital computing, scientists have been fascinated by the concept of artificial intelligence (AI), a form of computation that mimics human-level reasoning and decision making. What was a mere ...
SORS: women in health: similar, different, unequal or discriminated? The case of cardiovascular disease
Cardiovascular disease (CVD) has long been viewed as a predominantly male condition, but this is a myth. Most women —and even many health professionals— remain unaware of the true burden of CVD in women. Why? The reasons ...
SORS/WomenInBSC: making FAIR work: from pre-FAIR assessment to structured plans for FAIR adoption in practice
Achieving FAIR data is a shared ambition across many research projects, but putting the FAIR principles into practice often proves challenging. This seminar presents a practical, stepwise approach to making FAIR work in ...
LOCA Series/reading club: berrybees: breadth first search by bit-tensor-cores
Breadth First Search (BFS) plays a key role in computational science, networking, and artificial intelligence applications. Although the BFS approach has been extensively studied, particularly in its directionoptimized form, ...
SORS: in our own image: what can the science of the human mind reveal about GenAI
A grand ambition of machine learning is to create generative artificial intelligence capable of assisting us in our tasks. Although much progress has been made, GenAI agents still struggle to align themselves with some of ...
SORS/WomenInBSC: multi-scale cancer signaling network modeling using natural language processing
Patient heterogeneity makes cancer treatment and drug development difficult and costly. Therefore, the development of computational methods to find prognostic markers for individualised treatment and drug screening is ...
SORS: accelerating software development: The LLM (R)evolution
Large language models are achieving state of the art results in a wide variety of well-studied areas, eclipsing past work in well-studied areas like auto-completion. I argue that they should also presage a "Cambrian explosion" ...
SORS/WomenInBSC: AI-driven insights into novel families and functions across the protein universe
The protein universe remains only partially explored, with many protein families and functions yet to be discovered. Leveraging large-scale protein sequence and structure datasets, we recently developed an unsupervised ...
SORS: exploring climate stabilisation under net zero emissions
Under the Paris Agreement, signatory nations aim to keep global warming well below 2°C above pre-industrial levels and preferably below 1.5°C. This implicitly requires achieving net-zero or net-negative greenhouse gas ...
SORS/WomenInBSC: digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Psychiatric disorders are influenced by genetic and environmental factors. However, their study is hindered by limitations on precisely characterizing human behavior. New technologies such as wearable sensors show promise ...
SORS/WomenInBSC: critical privacy issues on medical data
The integration of Artificial Intelligence (AI) into healthcare holds immense potential to enhance diagnostic processes and improve treatment plans by leveraging valuable patient data. However, the sensitive nature of ...
SORS/WomenInBSC: understanding feedback control in biological systems
Feedback control is a fundamental principle of life, essential for maintaining homeostasis across biological scales. To better understand and design feedback mechanisms in cellular systems, we developed CoRa (Control ...
SORS: scalable uncertainty quantification for progressive damage models in composite structures
We present a scalable methodology for uncertainty quantification (UQ) in high-dimensional problems involving advanced progressive damage models for composite materials. The approach combines bootstrapping and Bayesian UQ ...
SORS: computational research in the humanities: current state and future potential
The application of computational approaches in the humanities has been scarce but for a few areas and specific applications such as NLP and textual analysis, geospatial analyses, and quantitative historical approaches. ...
SORS: "movies" and "the impact of political campaigns on demand for partisan news"
Why are certain movies more successful in some markets than others? Are the entertainment products we consume reflective of our core beliefs? To answer these questions, we analyze international movie data and local tales ...
SORS: from research to reality: integrating the Berti Prefetcher into Sargantana
Modern processors still struggle with the memory-wall—the widening the gap between core speed and main-memory latency. Hardware data prefetchers mitigate this bottleneck by predicting future memory accesses and fetching ...
LOCA Series/reading club: pengwing: a novel blended OS for heterogeneous SoCs
Modern systems-on-chip employ numerous accelerators to scale performance and efficiency, with many user applications seeing significant gains. However, as we move to accelerate other parts of our system stack, particularly ...
SORS/WomenInBSC: algorithm design: the case of school choice
Algorithms play a central role in determining who gets what—and why—in a wide range of allocation problems. In the context of education, school assignment algorithms impact the opportunities and outcomes of millions of ...
SORS/WomenInBSC: OASIS, a community coupler for climate modelling
The development of the OASIS coupler started in 1991 in CERFACS. At that time, it was used by two climate modelling groups in France to couple two different atmosphere models to one ocean model. 30 years later, i.e. in ...
