Tootfinder

Action Deviation-Aware Inference for Low-Latency Wireless Robots
Jeyoung Park, Yeonsub Lim, Seungeun Oh, Jihong Park, Jinho Choi, Seong-Lyun Kim
https://arxiv.org/abs/2510.02851

Action Deviation-Aware Inference for Low-Latency Wireless Robots
To support latency-sensitive AI applications ranging from autonomous driving to industrial robot manipulation, 6G envisions distributed ML, connecting distributed computational resources in edge and cloud over hyper-reliable low-latency communication (HRLLC). In this setting, speculative decoding can facilitate collaborative inference of models distributively deployed: an on-device draft model locally generates drafts and a remote server-based target model verifies and corrects them, resulting …

"Morocco distributed solar potential pegged at 28.6 GW"
#Morocco #SolarPower #Energy #Renewables

Morocco distributed solar potential pegged at 28.6 GW
Morocco could install up to 28.6 GW of distributed solar, producing 66.8 TWh of electricity and creating a $31 billion market, according to new research that calls for rapid regulatory action to unlock this potential.

The chanciness of time
John M. Myers, Hadi Madjid
https://arxiv.org/abs/2511.08611 https://arxiv.org/pdf/2511.08611 https://arxiv.org/html/2511.08611
arXiv:2511.08611v1 Announce Type: new
Abstract: Digital network failures stemming from instabilities in measurements of temporal order motivate attention to concurrent events. A century of attempts to resolve the instabilities have never eliminated them. Do concurrent events occur at indeterminate times, or are they better seen as events to which the very concept of temporal order cannot apply? Logical dependencies of messages propagating through digital networks can be represented by marked graphs on which tokens are moved in formal token games. However, available mathematical formulations of these token games invoke "markings"-- global snapshots of the locations of tokens on the graph. The formulation in terms of global snapshots is misleading, because distributed networks are never still: they exhibit concurrent events inexpressible by global snapshots. We reformulate token games used to represent digital networks so as to express concurrency. The trick is to replace global snapshots with "local snapshots." Detached from any central clock, a local snapshot records an action at a node during a play of a token game. Assemblages of local records define acyclic directed graphs that we call history graphs. We show how history graphs represent plays of token games with concurrent motions, and, importantly, how history graphs can represent the history of a network operating while undergoing unpredictable changes.
toXiv_bot_toot