Tootfinder

Facing down a new week of too many deadlines like this chestnut-backed chickadee (Poecile rufescens) in Stanley Park, Vancouver
#naturalist #wildlife #photography

Das gute an Deadlines ist ja, dass man jede Menge anderen Kram erledigt bekommt, den man sonst weg prokrastiniert hätte.

Mick Shots: Digging into Cowboys week that is https://www.dallascowboys.com/news/mick-shots-digging-into-cowboys-week-that-is

Life hack*: Put dentist or scary doctor's appointments on the same day as important and also scary work commitments (talks, deadlines) - then the stress at work won't leave time to worry about the other thing 🙃
* In a few weeks I'll report back whether this works or was just a colossally stupid idea leading to failure in both work and life appointment 🙈

Sunday started at 6.30am with some work, urgent deadlines that can't wait.
But sitting on the sofa under a blanket reading science, drinking tea, listening to sublime classical music on DR with a cat purring away next to me, turns out to be actually really nice.
I should do this more often.

Researchers unveil PropensityBench, a benchmark showing how stressors like shorter deadlines increase misbehavior in agentic AI models during task completion (Matthew Hutson/IEEE Spectrum)
https://spectrum.ieee.org/ai-agents-safety

AI Agents Care Less About Safety When Under Pressure
Can AI agents resist pressure or do they crack? Discover how PropensityBench tests their likelihood to misbehave when put under pressure.

Edge-to-Cloud Computations-as-a-Service in Software-Defined Energy Networks for Smart Grids
Jack Jackman, David Ryan, Arun Narayanan, Pedro Nardelli, Indrakshi Dey
https://arxiv.org/abs/2510.11286

Edge-to-Cloud Computations-as-a-Service in Software-Defined Energy Networks for Smart Grids
Modern power grids face an acute mismatch between where data is generated and where it can be processed: protection relays, EV (Electric Vehicle) charging, and distributed renewables demand millisecond analytics at the edge, while energy-hungry workloads often sit in distant clouds leading to missed real-time deadlines and wasted power. We address this by proposing, to our knowledge, the first-ever SDEN (Software Defined Energy Network) for CaaS (Computations-as-a-Service) that unifies edge, fo…

Two great DH conferences have extended their deadlines!
Digital Humanities Benelux 2026 to December 7 https://2026.dhbenelux.org/
DH2026 in Korea to December 15 ht…

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Vincenzo Norman Vitale, Antonia Maria Tulino, Andreas F. Molisch, Jaime Llorca
https://arxiv.org/abs/2510.11535

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Timely delivery of delay-sensitive information over dynamic, heterogeneous networks is increasingly essential for a range of interactive applications, such as industrial automation, self-driving vehicles, and augmented reality. However, most existing network control solutions target only average delay performance, falling short of providing strict End-to-End (E2E) peak latency guarantees. This paper addresses the challenge of reliably delivering packets within application-imposed deadlines by l…

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control
Alexander Du, Emre Adabag, Gabriel Bravo, Brian Plancher
https://arxiv.org/abs/2510.07625

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control
While Model Predictive Control (MPC) delivers strong performance across robotics applications, solving the underlying (batches of) nonlinear trajectory optimization (TO) problems online remains computationally demanding. Existing GPU-accelerated approaches typically (i) parallelize a single solve to meet real-time deadlines, (ii) scale to very large batches at slower-than-real-time rates, or (iii) achieve speed by restricting model generality (e.g., point-mass dynamics or a single linearization…

Since the start of the semester I feel like being hunted by an angry pack of looming deadlines: everything seems to cluster around October 31 and mid-November.
But! I have now finished all work-related tasks due October 31, and it's only the 28!

Since the start of the semester I feel like being hunted by an angry pack of looming deadlines: everything seems to cluster around October 31 and mid-November.
But! I have now finished all work-related tasks due October 31, and it's only the 28!

Since the start of the semester I feel like being hunted by an angry pack of looming deadlines: everything seems to cluster around October 31 and mid-November.
But! I have now finished all work-related tasks due October 31, and it's only the 28!

"In a world of limited capital and urgent climate deadlines, the prudent course is to double down on the technologies that are delivering now and keep nuclear in a narrow test lane with clear stop rules."
#kernenergie

Small Modular Reactors and the Big Questions of Cost & Waste - CleanTechnica
New research challenges SMR promises, finding diseconomies of scale, cost overruns, and added nuclear waste streams.

I'd like to ask a question:
Working in research at a university comes with a lot of freedom in terms of working hours and workplace design (within limits, of course). Job advertisements often label this as “flexible.”
This can lead to exploitation, so as a supervisor, I make sure that monthly working hours are balanced out in a timely manner, that vacations are actually vacations, etc.
But: sometimes it's just hectic, then deadlines, conferences elsewhere, etc.

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
Jamie Cotter, Ignacio Castineiras, Victor Cionca
https://arxiv.org/abs/2510.01885

Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge
In this paper, we present a solution for low-latency deadline-constrained DNN offloading on mobile edge devices. We design a scheduling algorithm with lightweight network state representation, considering device availability, communication on the network link, priority-aware pre-emption, and task deadlines. The scheduling algorithm aims to reduce latency by designing a resource availability representation, as well as a network discretisation and a dynamic bandwidth estimation mechanism. We impl…