Tonkikh, Andrei Ponomarev, Pavel Kuznetsov, Petr Pignolet, Yvonne-Anne
A typical blockchain protocol uses consensus to make sure that mutually mistrusting users agree on the order in which their operations on shared data are executed. However, it is known that asset transfer systems, by far the most popular application of blockchains, can be implemented without consensus. Assuming that no account can be accessed concu...
Sato, Junya Suzuki, Yuki Wataya, Tomohiro Nishigaki, Daiki Kita, Kosuke Yamagata, Kazuki Tomiyama, Noriyuki Kido, Shoji
Published in
iScience
Subject areas: Health sciences; Medicine; Applied computing;
Ćiprijanović, A Lewis, A Pedro, K Madireddy, S Nord, B Perdue, GN Wild, SM
Artificial intelligence methods show great promise in increasing the quality and speed of work with large astronomical datasets, but the high complexity of these methods leads to the extraction of dataset-specific, non-robust features. Therefore, such methods do not generalize well across multiple datasets. We present a universal domain adaptation ...
Fan, Jason Singh, Noor Pratap Khan, Jamshed Pibiri, Giulio Ermanno Patro, Rob
Published in
bioRxiv : the preprint server for biology
The problem of sequence identification or matching - determining the subset of references from a given collection that are likely to contain a query nucleotide sequence - is relevant for many important tasks in Computational Biology, such as metagenomics and pan-genome analysis. Due to the complex nature of such analyses and the large scale of the ...
Sanchez-Garcia, Melani Chauhan, Tushar Cottereau, Benoit R Beyeler, Michael
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model...
Jacquet, Baptiste Bourlier, Maxime Caravona, Laura Engel, Joachim Jiménez, Magdalena Jamet, Frank Martignon, Laura Macchi, Laura Baratgin, Jean
Limiting global warming to 1.5°C is a daunting task that requires the involvement of the global population and in particular of the population of the richest countries with the highest carbon footprint per capita. Changing behavior is a difficult task, but tools such as chatbots can be useful to help change habits and raise awareness of one’s impac...
Zhao, Junyu Xi, Shengkai Li, Yan Guo, Aike Wu, Zhihua
Published in
iScience
Applied computing; Biomimetics; Robotics
Li, Chao Zhang, Xumeng Chen, Pei Zhou, Keji Yu, Jie Wu, Guangjian Xiang, Du Jiang, Hao Wang, Ming Liu, Qi
...
Published in
iScience
Applied computing; Engineering; Devices
de Frahan, Marc T Henry Rood, Jon S Day, Marc S Sitaraman, Hariswaran Yellapantula, Shashank Perry, Bruce A Grout, Ray W Almgren, Ann Zhang, Weiqun Bell, John B
...
Reacting flow simulations for combustion applications require extensive computing capabilities. Leveraging the AMReX library, the Pele suite of combustion simulation tools targets the largest supercomputers available and future exascale machines. We introduce PeleC, the compressible solver in the Pele suite, and detail its capabilities, including c...
cangelosi, antonio riberi, giacomo salvi, massimo molinari, filippo titolo, paolo agus, marco calì, corrado
The use of Mixed Reality in medicine is widely documented to be a candidate to revolutionize surgical interventions. In this paper we present a system to simulate k-wire placement, that is a common orthopedic procedure used to stabilize fractures, dislocations, and other traumatic injuries. With the described system, it is possible to leverage Mixe...