Results 111 to 120 of about 102,917 (301)
Approximate Computing in Coarse Grained Reconfigurable Architecture [PDF]
, 2019 Approximate computing has emerged as a new computing paradigm capable of reducing the power requirements for or accelerating some workloads. Due to cascading error and the nature of binary arithmetic, it is difficult to predict the exact effects that ...
Kinley, Lincoln Douglas
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Approximate computing in the nanoscale era [PDF]
, 2018 The reduced benefits offered by technology scaling in the nanoscale era call for innovative design approaches, to process bigger and bigger amount of data with always higher performance and lower power consumption.
Antonio G. M. Strollo +3 more
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An efficient Imprecise 4:2 Compressor Using Gate Diffusion Input Supplemented with Dynamic Threshold
مهندسی مخابرات جنوبApproximate computing is a new design concept that causes a trade-off between circuitry performance and accuracy. The approximate circuits are more useful in error-resilient applications, like image processing.
Forouzan Bahrami +2 more
doaj
SOT-MRAM-based true in-memory computing architecture for approximate multiplication
ChipThe in-memory computing (IMC) paradigm emerges as an effective solution to break the bottlenecks of conventional von Neumann architecture. In the current work, an approximate multiplier in spin-orbit torque magnetoresistive random access memory (SOT-MRAM)
Min Song +6 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Approximate computing for machine learning [PDF]
Approximate Computing has emerged as a promising paradigm to enhance computational efficiency by introducing controlled inaccuracies in arithmetic operations.
Syed Mohammed Mosayeeb Al Hady Zaheen
core
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Approximate Bayesian computation methods [PDF]
Statistics and Computing, 2012 Occasionally, Statistics and Computing is publishing Special Issues on topics of potential interests. The most recent published Special Issues were concerned with “Adaptive Methods in Bayesian Computation”, Guest Editor Paul Fearnhead, Volume 18 Issue 4 (2008), “Regularisation Methods in Classification and Regression”, Guest Editor Gerhard Tutz, Volume
openaire +2 more sources
FEBS Letters, EarlyView.The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source