Tootfinder

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Narayan Kandel, Daljit Singh J. S. Dhillon
https://arxiv.org/abs/2506.15815 https://

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed data to accurately capture the nuanced variations in diffractive surface reflectances. This heavy data dependency warrants implicit neural representation which has not been addressed comprehensively in the current literature. In this paper, we present a multi-layer perceptron (MLP…

Good morning from Harlem
#Photography #GoodMorning #Sunrise #NYC

🥡 3D printed food: Yuck or yes? Researchers ask South African consumers
#food

3D printed food: Yuck or yes? Researchers ask South African consumers
Would you eat food that was printed by a machine? 3D printed food is built up by equipment (a 3D food printer), layer after layer, using edible pastes, dough and food slurries in three-dimensional forms. These machines use digital models to produce precise, often personalized food items. Most 3D printed foods are made from nutrient-dense sources (plant and animal), which means they can offer health benefits.

Green Therapy
(an impression from an early morning hike last July)
#ForestFriday #LandscapePhotography #NaturePhotography

The role of gain neuromodulation in layer-5 pyramidal neurons
Alejandro Rodriguez-Garcia, Christopher J. Whyte, Brandon R. Munn, Jie Mei, James M. Shine, Srikanth Ramaswamy
https://arxiv.org/abs/2507.03222

The role of gain neuromodulation in layer-5 pyramidal neurons
Biological and artificial learning systems alike confront the plasticity-stability dilemma. In the brain, neuromodulators such as acetylcholine and noradrenaline relieve this tension by tuning neuronal gain and inhibitory gating, balancing segregation and integration of circuits. Fed by dense cholinergic and noradrenergic projections from the ascending arousal system, layer-5 pyramidal neurons in the cerebral cortex offer a relevant substrate for understanding these dynamics. When distal dendri…

Solace! Spirit cleansing.
(Incredible light on our morning hike today. So very grateful for these experiences, especially these days... 🙏)
#LandscapePhotography #NaturePhotography #MorningWalk

the view from my cabin window

This https://arxiv.org/abs/2505.08944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony
Mixture-of-Experts (MoE) architectures offer the promise of larger model capacity without the prohibitive costs of fully dense designs. However, in real-world inference serving, load skew across experts often leads to suboptimal device utilization and excessive synchronization overheads. This paper introduces Asynchronous Expert Parallelism (AEP), a new paradigm that decouples layer execution from barrier-style synchronization. By dynamically queuing tokens at each layer (referred to as $μ$-qu…

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
Ama Bandara, Abhijit Das, Fatima Rodriguez-Galan, Eduard Alarcon, Sergi Abadal
https://arxiv.org/abs/2506.19487

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
As chiplet-based integration and many-core architectures become the norm in high-performance computing, on-chip wireless communication has emerged as a compelling alternative to traditional interconnects. However, scalable Medium Access Control (MAC) remains a fundamental challenge, particularly under dense traffic and limited spectral resources. This paper presents TRMAC, a novel cross-layer MAC protocol that exploits the spatial focusing capability of Time Reversal (TR) to enable multiple par…