Results 121 to 130 of about 5,721,777 (374)

Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms

open access: green, 2022
Saras Mani Mishra   +6 more
openalex   +2 more sources

Is Your Model Susceptible to Floating-Point Errors? [PDF]

open access: yes
This paper provides a framework that highlights the features of computer models that make them especially vulnerable to floating-point errors, and suggests ways in which the impact of such errors can be mitigated.
J. Gary Polhill, Luis R. Izquierdo
core  

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

open access: yesFEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva   +10 more
wiley   +1 more source

A Mixed Real and Floating-Point Solver [PDF]

open access: yes
Reasoning about mixed real and floating-point constraints is essential for developing accurate analysis tools for floating-point pro- grams. This paper presents FPRoCK, a prototype tool for solving mixed real and floating-point formulas.
Feliu, Marco A.   +5 more
core   +1 more source

PICALM::MLLT10 translocated leukemia

open access: yesFEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen   +7 more
wiley   +1 more source

Numerical stability of DeepGOPlus inference.

open access: yesPLoS ONE
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many problems.
Inés Gonzalez Pepe   +3 more
doaj   +1 more source

A Compute-in-Memory Decoding Architecture for Posit-to-Floating-Point Conversion

open access: yesIEEE Access
Modern computing systems are increasingly adopting low-precision floating-point formats to reduce memory overhead, particularly in large-scale applications such as large language models and scientific computing.
Jae Hyung Ko   +3 more
doaj   +1 more source

Bounded Floating Point: Identifying and Revealing Floating-Point Error

open access: yesAdvances in Science, Technology and Engineering Systems Journal, 2021
Alan A. Jorgensen   +4 more
openaire   +1 more source

Paranoia.Ada: A diagnostic program to evaluate Ada floating-point arithmetic [PDF]

open access: yes
Many essential software functions in the mission critical computer resource application domain depend on floating point arithmetic. Numerically intensive functions associated with the Space Station project, such as emphemeris generation or the ...
Hjermstad, Chris
core   +1 more source

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