Congressos: Recent submissions
Now showing items 201-220 of 11156
Benchmarking of long-read transcriptomics methods; results and insights from the LRGASP project
Long reads sequencing is the Method of the Year 2022 according to Nature Methods. Applied to transcriptome analysis Long reads allow the sequencing of full-length transcripts in one single read and facilities the study ...
Spinnaker: a neuromorphic platform to model largescale spiking neural networks in biological real time
In this talk SpiNNaker will be presented, a brain-inspired million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modelling ...
A continuum of matrix multiplications: from scientific computing to deep learning
Matrix multiplication (GEMM) is a key, pervasive computational kernel that spans across multiple domains. On the one hand, many applications arising in scientific computing require the solution of linear systems of equations, ...
Standford project: gendered innovations in science, health & medicine, engineering and environment. best practices for BSC
As Equity, Diversity, and Inclusion Officer of the BSC, I work to improve the global numbers and visibility of women at the BSC, develop and implement the Gender Equity Plan (GEP) and increase awareness regarding how to ...
Sustainable chemistry and catalysis design meet digitalization
Catalysts play a critical role in directing and accelerating the conversion of reagents into targeted products. The design of novel and/or improved catalysts is central to enable the sustainable production of fuels and ...
Responsible AI: what is it and why care?
Every day we see news about advances and the societal impact of AI. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring AI ethics is ...
Deep convolutional neural networks and energyefficient hardware acceleration
Deep Convolutional Neural Networks (CNN) have achieved state-of-the-art inference accuracy in a wide range of computer vision applications like image classification, object detection, semantic segmentation etc. Applications ...
AI-related standards activities with a focus on algorithmic bias
The last five years has seen a rapid expansion of AI-related standardisation activity, driven in part by the precautionary principle and in part by legislative attention on the potential impacts of AI. This is all despite ...
Convergence of HPC, big data and machine learning applications and containerized infrastructures
The convergence of HPC, BD and ML in the computing continuum is being pursued in earnest across the academic and industry. We envision virtualization and containerization technologies can be the basis for the convergence, ...
Decoding the epitranscriptome at single molecule resolution
The dynamic deposition of chemical modifications into RNA is a crucial regulator of temporal and spatial accurate gene expression programs. A major difficulty in studying these modifications, however, is the need of tailored ...
How scientific workflows help automate science and what we can do better?
Scientific workflows are now a common tool used by domain scientists in several disciplines. They are appealing because they enable users to think at high level of abstraction, composing complex applications from individual ...
Large-scale graph neural networks for real-world industrial applications
A graph or network is a powerful data structure that can represent relationships between any entities in both the digital world and the physical world. The way of analyzing graphs has been advancing from algorithm-based ...
Marenostrum 5 and its data center
In this seminar MareNostrum 5 and its Data Center will be presented to BSC staff.
Climate damages - accounting for the changing variability and extremes of temperature and precipitation
Quantifying the economic impact of climate change is of vital importance for informing policy regarding both mitigation and adaptation. Such work requires an integration of knowledge and approaches from both the natural ...
Linked traversal querying over decentralized environments
Linked Traversal Query Processing is a paradigm that introduces the idea of discovering data on-the-fly by following hyperlinks over a set of documents published on the web. A single query can result in a vast answer set ...
Developing high quality regional climate projections: a framework, applications, and recommendations
This talk illustrates the quality assessment framework developed by Baldissera Pacchetti et al. (2021a, 2021b) and shows how it is being used to provide guidance on how to improve the quality of the next generation regional ...
How to have a bad research visiting experience/internship
Are you thinking of doing a research stay at another lab? Come to this talk where I will talk about my recent experience at the University of California, Santa Barbara. I will explain what I have done in the last 4 months ...
Infectious disease management under climate change: models and applications
The sensitivity of disease vectors to the environmental fluctuations brought by climate change will dictate their response to public health interventions. Operational questions such as the timing, frequency, and development ...
Community engagement as an essential step in designing tools to improve climate change resilience in the brazilian Amazon
Climate change and environmental degradation, including rapid deforestation rates, are threatening the Amazon rainforest and the health of traditional peoples who live in the forest. To better understand the health impacts ...
Silent data corruptions in computing systems – modelling, measuring, mitigation across the layers
Hyperscale’s of computing systems (Meta and Google) recently revealed a major issue in the operation of their server fleets: CPU hardware faults, marginalities, and bugs (not random transients) generate wrong program outputs ...
