Results 51 to 60 of about 2,749 (228)
Stochastic Rounding for LLM Training: Theory and Practice
AISTATS ...
Kaan Ozkara, Tao Yu, Youngsuk Park
openaire +3 more sources
A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
Conventional stochastic rounding (CSR) is widely employed in the training of neural networks (NNs), showing promising training results even in low-precision computations. We introduce an improved stochastic rounding method, that is simple and efficient.
Lu Xia +3 more
openaire +2 more sources
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source
Simulating brain-scale networks digitally is often hindered by extensive memory access. In this context, using low-precision data types and more efficient models to represent state variables is a viable alternative to improve the scalability of the ...
Pablo Urbizagastegui +2 more
doaj +1 more source
Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler +14 more
wiley +1 more source
Dynamic mechanical loading of outer meniscus fibrochondrocytes increases extracellular vesicle (EV) yield and alters EV composition. When applied to progenitor cells, these mechanically primed EVs modulate the expression of matrix‐related genes.
Catherine Cheung +6 more
wiley +1 more source
Multi-Objective Optimization of Cost and Resilience in water Distribution Networks Using MOGWO and EPANET [PDF]
Objective: Urban water distribution network (WDN) design is a critical component of water resources engineering, required to withstand challenges posed by population growth, rising demand, climate variability, and financial constraints.
Parisa-Sadat Ashofteh
doaj +1 more source
Evaluation of stochastic particle dispersion modeling in turbulent round jets [PDF]
Abstract ODT (one-dimensional turbulence) simulations of particle-carrier gas interactions are performed in the jet flow configuration. Particles with different diameters are injected onto the centerline of a turbulent air jet. The particles are passive and do not impact the fluid phase.
Guangyuan Sun +2 more
openaire +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source

