Congressos: Enviaments recents
Ara mostrant els elements 241-260 de 11156
Integrating posit arithmetic into a RISC-V core
The Posit representation, an alternative to the widely used IEEE 754 floating-point standard, offers promising benefits in terms of accuracy and execution efficiency. Nonetheless, posits are still under development, and a ...
Virtual BSC RS/Life Session: Single-cell cancer phylogenomics
A tumor consists of an expanding population of clonal cells that differentiate to a bigger or lesser extent and disperse to nearby or distant tissues. We have leveraged state-of-the-art approaches from statistical ...
Virtual BSC RS/AI4ES: Regional ocean warming and sea level rise: an AI perspective
Analysis of global and regional ocean temperature and sea level observations across the three major basins shows that heat uptake and its redistribution through the subsurface waters has widespread impacts on the global ...
Virtual BSC RS/Life Session: a multi-objective genetic algorithm to find active modules in multiplex biological networks (MOGAMUN) and sex differences in genetic architecture in UK Biobank
One of the most challenging tasks in computational biology is the integration of complementary biological data produced from different experimental sources. Our goal here is to combine expression data and biological networks ...
Virtual BSC RS/AI4ES seminar: "Uncertainty quantification and ML for the tuning of climate models"
A major cause of earth system model discrepancies result from processes that are missed or are incorrectly represented in the model's equations. Despite the increasing number of collected observations, reducing parametric ...
Virtual BSC RS: "Users of Big Earth Data - An analysis of current and future user requirements of (cloud-based) data systems"
The broad dissemination of open data policies for Big Earth Data leads to a diversification of users. The literacy in data and data handling differ for each user group, resulting in different needs and requirements. In ...
Virtual BSC RS/AI4ES seminar: "Adjusting Spatial Dependence of Climate Model Outputs with Cycle-Consistent Adversarial Networks"
Climate model outputs are commonly corrected using statistical univariate bias correction methods. Most of the time, those 1d-corrections do not modify the ranks of the time series to be corrected. This implies that biases ...
Virtual BSC RS/BSC Life Session: Enter the matrix: modeling tumor cell and immune cell interactions at the single cell resolution
Tumors employ complex, multi-scale cellular and molecular interactions that evolve over the course of therapeutic response. The changes in these pathways enables tumors to overcome therapeutic regimens, and ultimately ...
Virtual BSC RS/Life Session: Parallel evolution of neural microexons in insects and vertebrates
One of the major challenges for the development of complex multicellular organisms is to generate dozens of cell types from a single genomic sequence. Through differential processing of introns and exons, alternative ...
The multidimensional problem of protein-protein interaction and protein phase separation: machine learning based solutions at the Bologna Biocomputing group
In cells, the ensemble of billions of reactions in a living organism takes place in heterogeneous and crowded environments that influence the efficiency of the reactivity and the density distribution of participating ...
Virtual BSC RS: A novel liquid biopsy platform utilizes gene-gene fusions for high-grade glioma patients
GBM is characterized by intratumoral heterogeneity. Tumor heterogeneity, clonal diversity and mutation acquisition hamper the ability to tailor personalized therapy for GBM. Tumor sampling has limited ability to accurately ...
Virtual BSC RS: Divide and Conquer Frontend Bottleneck
The frontend stalls caused by instruction and BTB misses are a significant source of performance degradation. Server processors commonly use prefetchers to mitigate the frontend bottleneck. However, next-line prefetchers, ...
Virtual BSC RS/BSC Life Session: Block by block: building a data science infrastructure for cancer research on the cloud
With decreasing cost of genomic sequencing, cancer research groups are generating large multi-omics and single cell data for various cancer types along with histopathology and radiological images. Researchers face major ...
Virtual BSC RS/BSC Life Session : Multi-omics data integration methods to study rare genetic diseases
The technological advances and accumulation of biomedical datasets are yielding unprecedented opportunities to better understand genetic diseases, but necessitate proper exploration and integration methods to unravel a ...
Virtual BSC RS: Multidimensional biology: from time-resolved structural biology to phenotypic medicines
I lead a group split between the IBEC in Barcelona and UCL in London. Our group comprises chemists, physicists, mathematicians, engineers, biologists working together to design bionic units that mimic specific biological ...
