Explore tweets tagged as #NatureComputationalScience
@emulenews
Francis Villatoro
4 years
#NatureComputationalScience The power of quantum neural networks by using the effective dimension it is proved numerically that a class of quantum neural networks is able to achieve a considerably better effective dimension than comparable classical ones.
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@emulenews
Francis Villatoro
5 years
#NatureComputationalScience Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies computational approaches significantly speed up drug discovery; drug repurposing can vastly accelerate the long approval process.
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@emulenews
Francis Villatoro
4 years
#NatureComputationalScience Fast and effective protein model refinement using deep graph neural networks it predicts a refined inter-atom distance probability distribution from an initial model and then rebuilds 3D models from it.
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@emulenews
Francis Villatoro
3 years
#NatureComputationalScience Quantifying the information in noisy epidemic curves an analytical framework to quantify the uncertainty induced by under-reporting and delays in reporting infections, and a metric for ranking surveillance data informativeness.
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@emulenews
Francis Villatoro
4 years
#NatureComputationalScience Seeking quantum advantage for neural networks: A study based on effective dimension shows that a quantum neural network can have increased capability and trainability as compared to its classical counterpart.
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@emulenews
Francis Villatoro
3 years
#NatureComputationalScience Demand-driven design of bicycle infrastructure networks for improved urban bikeability Designing efficient urban bike path networks that meet the needs of cyclists cc @Ruedasredondas
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@emulenews
Francis Villatoro
3 years
#NatureComputationalScience Evolution of cooperation through cumulative reciprocity Cumulative reciprocity can sustain cooperation in repeated social interactions #GameTheory
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@emulenews
Francis Villatoro
3 years
#NatureComputationalScience Chiral topographic instability in shrinking spheres Bio-inspired adaptive grasper by chiral wrinkling Motivated by the observation of exotic pattern formation processes on fruit surfaces.
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@Medtorek
Medtorek
2 years
Puede la #InteligenciaArtificial predecir la fecha de muerte de una persona?.👉 Estudio de @koebenhavns_uni ha desarrollado un programa que puede dar esta respuesta con un alto nivel de exactitud. #life2vec.Via #naturecomputationalscience.⚓️
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@MultiplatformAI
Multiplatform.AI
2 years
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@Bridge_Info_USA
Bridge Informatics
1 year
ICYMI: Have you heard of #SCORPION, the new innovative R package that reconstructs gene regulatory networks from #SingleCellRNASeq data? Read more in our blog: #scRNAseq #GeneRegulation #Bioinformatics #NatureComputationalScience
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@pressitalia
Press Italia
4 years
Il cervello non sceglie la via più breve - Uno studio dell’Istituto di informatica e telematica del Cnr di Pisa in collaborazione con il Mit di Boston e il Politecnico di Torino dimostra come i. #pressitalia #cervello #cnr #naturecomputationalscience .
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@emulenews
Francis Villatoro
5 years
#NatureComputationalScience Connecting Black women in computational biology Jenea Adams created the Black Women in Computational Biology Network, which has attracted the support of many researchers.
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@emulenews
Francis Villatoro
3 years
#NatureComputationalScience Fast kinetic simulator for relativistic matter Simulating fluids, gases and everything in between a family of relativistic lattice kinetic schemes for the efficient simulation of relativistic flows.
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@emulenews
Francis Villatoro
2 years
#NatureComputationalScience Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT a battery of semantic illusions and cognitive reflection tests, aimed to elicit intuitive yet erroneous responses.
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@generici
Equivalente.it
4 years
Il #cervello umano, sceglie in automatico il #camminodirezionale e non quello la via piĂą breve. Lo dimostra uno studio del #CNR-Iit con il #PolitecnicodiTorino e il Massachusetts Institute of Technology pubblicato su #NatureComputationalScience.
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@Fengqi_You
Fengqi You
3 months
Our work on AI for materials discovery is featured on the cover of the May 2025 Issue of #NatureComputationalScience! 🎉 Congrats to Zhilong, and thanks to the editors for the recognition!. 🔗 #AI #MaterialsScience .
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@NatComputSci
Nature Computational Science
3 months
📢Out now! @Fengqi_You and Zhilong Wang discuss the challenges and opportunities for implementing generative models in the inverse design of functional crystalline materials. 🔓
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