2025-12-04 00:30:00
Moody Urbanity - Old & New V 🔆
情绪化城市 - 新与旧 V 🔆
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite
Moody Urbanity - Old & New V 🔆
情绪化城市 - 新与旧 V 🔆
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite
Series C, Episode 09 - Sarcophagus
TARRANT: Don't try and bluff your way with me, Avon. I know what's been needling you right from the start. With Blake gone, you thought you'd got it made, didn't you? Thought you'd got control of this ship and a crew of three who'd say, "Yes, Avon. Whatever you want, Avon." [Cally puts the bookscreen down.] But you reckoned without me. [Cally starts toward the artifact.]
AVON: That wouldn't be too difficult…
🤚 Handy robot can crawl and pick up objects from multiple angles
#robotics
Replaced article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations
Ahmed H. Mahmoud, Rahul Goel, Jonathan Ragan-Kelley, Justin Solomon
https://arxiv.org/abs/2509.00406 https://mastoxiv.page/@arXiv_csGR_bot/115139432473803894
- F-scheduler: illuminating the free-lunch design space for fast sampling of diffusion models
Zilai Li, Lujia Bai
https://arxiv.org/abs/2510.02390 https://mastoxiv.page/@arXiv_csGR_bot/115326072853284835
- Mesh Splatting for End-to-end Multiview Surface Reconstruction
Ruiqi Zhang, Jiacheng Wu, Jie Chen
https://arxiv.org/abs/2601.21400 https://mastoxiv.page/@arXiv_csGR_bot/115983057390044475
- InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui
https://arxiv.org/abs/2502.20390 https://mastoxiv.page/@arXiv_csCV_bot/114080380833806621
- Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerate...
Zhaowen Fan
https://arxiv.org/abs/2601.06135 https://mastoxiv.page/@arXiv_csLG_bot/115887382327150666
- Under-Canopy Terrain Reconstruction in Dense Forests Using RGB Imaging and Neural 3D Reconstruction
Refael Sheffer, Chen Pinchover, Haim Zisman, Dror Ozeri, Roee Litman
https://arxiv.org/abs/2601.22861 https://mastoxiv.page/@arXiv_csCV_bot/116000605470776021
toXiv_bot_toot
Monumental III 🪦
纪念 III 🪦
📷 Nikon F4E
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite
Multi state neurons
Robert Worden
https://arxiv.org/abs/2512.08815 https://arxiv.org/pdf/2512.08815 https://arxiv.org/html/2512.08815
arXiv:2512.08815v1 Announce Type: new
Abstract: Neurons, as eukaryotic cells, have powerful internal computation capabilities. One neuron can have many distinct states, and brains can use this capability. Processes of neuron growth and maintenance use chemical signalling between cell bodies and synapses, ferrying chemical messengers over microtubules and actin fibres within cells. These processes are computations which, while slower than neural electrical signalling, could allow any neuron to change its state over intervals of seconds or minutes. Based on its state, a single neuron can selectively de-activate some of its synapses, sculpting a dynamic neural net from the static neural connections of the brain. Without this dynamic selection, the static neural networks in brains are too amorphous and dilute to do the computations of neural cognitive models. The use of multi-state neurons in animal brains is illustrated in hierarchical Bayesian object recognition. Multi-state neurons may support a design which is more efficient than two-state neurons, and scales better as object complexity increases. Brains could have evolved to use multi-state neurons. Multi-state neurons could be used in artificial neural networks, to use a kind of non-Hebbian learning which is faster and more focused and controllable than traditional neural net learning. This possibility has not yet been explored in computational models.
toXiv_bot_toot
The Theory of Strategic Evolution: Games with Endogenous Players and Strategic Replicators
Kevin Vallier
https://arxiv.org/abs/2512.07901 https://arxiv.org/pdf/2512.07901 https://arxiv.org/html/2512.07901
arXiv:2512.07901v1 Announce Type: new
Abstract: This paper develops the Theory of Strategic Evolution, a general model for systems in which the population of players, strategies, and institutional rules evolve together. The theory extends replicator dynamics to settings with endogenous players, multi level selection, innovation, constitutional change, and meta governance. The central mathematical object is a Poiesis stack: a hierarchy of strategic layers linked by cross level gain matrices. Under small gain conditions, the system admits a global Lyapunov function and satisfies selection, tracking, and stochastic stability results at every finite depth. We prove that the class is closed under block extension, innovation events, heterogeneous utilities, continuous strategy spaces, and constitutional evolution. The closure theorem shows that no new dynamics arise at higher levels and that unrestricted self modification cannot preserve Lyapunov structure. The theory unifies results from evolutionary game theory, institutional design, innovation dynamics, and constitutional political economy, providing a general mathematical model of long run strategic adaptation.
toXiv_bot_toot
Series C, Episode 13 - Terminal
ZEN: The information you require has been stored via a coded route, and retrieval is not possible without the correct security command sequence.
CALLY: And that sequence is known only to Avon, I imagine.
ZEN: Confirmed.
https://blake.torpidity.net/m/313/100
Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Arti...
Arantes, Pinto, Dalmazo, Borges, Lucca, de Mattos, Cardoso, Berri