World's Edge
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
France to edge out Spain for World Cup glory, economists say: Reuters poll
France to edge out Spain for World Cup glory, economists say: Reuters poll BENGALURU, June 6 : France will beat Spain to lift the World Cup trophy on July 19 and five-time winners Brazil are expected to be the biggest flops, according to a Reuters survey of economists who said football was still harder to call than inflation. For 160 respondents from nearly every continent, this poll conducted once every four years is a welcome break from their macroeconomic forecasting in an era of wars,...
Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing
Announce Type: replace Abstract: This paper investigates compact large language model (LLM) deployment and world-model-assisted inference offloading in mobile edge computing (MEC) networks. We first propose an edge compact LLM deployment (ECLD) framework that jointly applies structured pruning, low-bit quantization, and knowledge distillation to construct edge-deployable LLM variants, and we evaluate these models using four complementary metrics: accessibility, energy consumption,...
Real-World Deployment of a 5G-Connected Edge-Controlled Aerial Robot in Industrial Subterranean Mines
arXiv:2606.04818v1 Announce Type: new Abstract: This article presents the first real-world autonomous flight of a 5G-connected aerial robot controlled by an edge-offloaded controller, and aims to bridge the gap between controlled and factual setups. The robot operates within an active industrial subterranean mine, while the high-level controller is deployed in a nearby Kubernetes-based edge cluster. Communication between the robot and the edge is enabled via a 5G New Radio (NR) Standalone...
How positive tipping points may be the key to protecting tropical rainforests
How positive tipping points may be the key to protecting tropical rainforests Gaby Clark Scientific Editor Andrew Zinin Lead Editor The world's tropical rainforests are edging towards collapse. But knowing how to stop deforestation isn't enough to drive action. The challenge is aligning all the pieces of the puzzle to initiate substantial change.
Dodgers break out annual Pride Night hats, drawing brutal reactions
It's June, which means the baseball world will be on edge for the next 25 days or so. A tradition unlike any other in this country!For those who don't know (and that's none of you, because it's everywhere), June is Pride Month. Haven't you heard?!You know in October when the NFL wears pink for a month?
CREWS: Collaborative Robust Edge WiFi Sensing with Asynchronous and Incomplete Observations
arXiv:2605.30356v1 Announce Type: new Abstract: Existing collaborative WiFi sensing systems rely on perfect node synchronization and complete data availability. However, real-world edge deployments suffer from heterogeneous computing and network dropouts, leading to asynchronous and incomplete features. We propose CREWS, a robust collaborative sensing framework that inherently resists these network volatility.
Age of Empires II: Definitive Edition arrives on Mac next month
Age of Empires II: Definitive Edition arrives on Mac next month One of the greatest real-time strategy games ever is making its way to macOS (again). Publisher Feral Interactive announced today it will bring Age of Empires II: Definitive Edition to Apple computers through Steam on May 28, with an App Store release to follow later this year. Feral worked with World's Edge, the studio that has managed the Age of Empires franchise for Microsoft since 2019, to develop the port.
LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation
Announce Type: new Abstract: Retinal blood vessel segmentation plays a vital role in the early detection of diabetic retinopathy and glaucoma. While recent deep learning models have achieved great segmentation accuracy, they typically require heavy computational resources, making real-world deployment on edge devices difficult. In this paper, we propose LightVesselNet, an efficient neural network designed for retinal vessel segmentation in a resource-constrained environment.
E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environments
arXiv:2606.03770v1 Announce Type: new Abstract: Large Language Models (LLMs) have become integral to modern applications, yet their deployment remains challenging. Beyond executing the models themselves, practical deployment must address cost efficiency, low latency, and optimal resource utilization. Conventional approaches typically assume that an entire model can be hosted on a single device, which does not hold in many real-world scenarios, particularly in Edge and Fog environments where...