Congressos: Recent submissions
Now showing items 181-200 of 11156
Turquoise - 12nm 32-core RISC-V chip with a coherent mesh fabric for datacenter applications
In this talk, we will present Turquoise, a 64-bit 32-core Out-Of-Order RISC-V CPU chip with three levels of caches designed for datacenter applications supporting the RVA23 profile. Turquoise is fabbed with the TSMC 12nm ...
Generative AI for agile hardware development
The integration of generative Artificial Intelligence (AI) into microprocessor design marks a paradigm shift in hardware development. The CyberRio project at RIOS is among one of the earliest attempts of using a Large ...
Data processing for scientific research: a legal approach in a case study
The talk will be approached as a use case analysis. A realistic practical scenario requiring data processing in biomedical research activities will be described and the necessary steps will be explained so that all stages of ...
Sparse linear solver for transistor-level circuit simulation
Sparse linear solvers play a crucial role in transistor-level circuit simulation, especially for large-scale post-layout circuit simulation when considering parasitic effects. Along with the fast development of semiconductor, ...
Exploring the network's world: From omics-driven machine learning workflow for drug target identification to quantification of signaling model diversity
The drug discovery process is challenging, time-consuming, and extremely expensive. Drug repurposing is a strategy for identifying new uses for existing drugs, aiming to simplify the process. While machine learning approaches ...
High-order mimetic differences and applications
Mimetic methods construct discrete numerical schemes based on discrete analogs of spatial differential vector calculus operators like divergence, gradient, curl, Laplacian, etc. They mimic solution symmetries, conservation ...
Prediction is better than cure: how explainable AI can improve healthcare
Machine learning methods have the potential to augment diagnostic capabilities in noninvasive screening techniques like ultrasound and microscopy, which often suffer from noise and lack specificity. This presentation ...
Reinventing virtual memory for modern hardware
Paged-based virtual memory forms the basis of memory management in modern hardware and has in the past decades been extended with support for accelerators and I/O devices. As memory sizes grow to terabytes and beyond, ...
Big microdata: the origins of IPUMS
IPUMS is the world's largest population database. It provides individual-level data on the characteristics of 2.5 billion persons residing in a billion households drawn from over 3,000 censuses and surveys of 165 countries ...
Eliminating subjectivity, quantifying uncertainty, and using machine learning for phylogenetic inference
In this talk I will outline our attempts to quantify the uncertainty in phylogenetic data analysis pipelines and how we predict the degree of difficulty of a phylogenetic analysis prior to conducting actual likelihood-based ...
Energy resource exploration with the application of machine learning in a GIS environment
The exploration of energy resources, in particular geothermal energy, has evolved towards the quantitative evaluation of information produced during reconnaissance and at advanced stages. The introduction of the concepts ...
Hardware and software optimizations for graph pattern mining
Today’s explosive data growth has ushered a new generation of applications that transform massive, unstructured, heterogeneous data into actionable knowledge. Data is increasing exponentially in volume, velocity, variety, ...
When AI is not the solution: from principles to practice
This talk will present the research process to develop a conversational agent to support and dignify the work of indigenous languages interpreters in Mexico. The project was an exploration to co-design the system and the ...
Graph neural networks on CPUS: enabling affordable and distributed training and inference
Graph Neural Networks (GNNs) have gained significant popularity in computer vision and natural language processing (NLP) for their ability to model complex relationships and dependencies among entities in data. However, ...
Air-sea disequilibrium enhances glacial ocean carbon Storage
The changes of atmospheric CO2 concentrations during glacial-interglacial cycles have been attributed to various mechanisms, mostly related to changes in ocean carbon storage. Whereas the direct effect of ocean temperatures ...
Using genomic and human mobility data to elucidate the long-range migration of streptococcus pneumoniae
Streptococcus pneumoniae is a globally endemic, human obligate bacteria, and a leading cause child mortality by pneumonia and meningitis worldwide. Despite the enormous public health burden, the extent and mechanisms ...
A 2D flamelet method to predict combustion in realistic conditions
Combustion in practical systems hardly ever occurs in a single combustion regime. Usually it is a multi-regime combustion problem where in the flame can show characteristics fluctuating between premixed and diffusion flames. ...
IPCC AR6 synthesis report: climate change 2023
The Intergovernmental Panel on Climate Change was created in 1988 to facilitate comprehensive assessments of the state of scientific, technical, and socioeconomic knowledge on climate change, its causes, potential impacts, ...
City science informing sustainable urban design and economic development
Aretian is a Harvard-based UrbanTech startup working with both public administration agencies and private clients to envision, shape, and conceive sustainable urban design and economic development projects supported by ...
The physics of epidemic spreading
Reaction–diffusion processes have been widely used to study dynamical processes in epidemics and ecology in networked metapopulations. In the context of epidemics, reaction processes are understood as contagions within ...
