United Utilities
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Andy Burnham accuses water companies of ‘profiteering’ during cost-of-living crisis
Andy Burnham accuses water companies of ‘profiteering’ during cost-of-living crisis Mr Burnham promised a vote for him in Makerfield would be a vote to ‘change Labour’ - Bookmark - CommentsGo to comments Andy Burnham has launched a scathing attack on "profiteering" water companies, demanding United Utilities cancel its final dividend payment to shareholders in August. The Greater Manchester Mayor argued the money should instead be used to lower consumer costs, following a surge in the North...
Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation
Announce Type: new Abstract: This work introduces a hybrid deep learning approach integrated with an Unscented Kalman Filter (UKF) to enhance pose estimation accuracy in Visual-Inertial Odometry (VIO) for autonomous navigation. The proposed model employs a Vision Transformer (ViT) network to effectively capture temporal dependencies from inertial measurement unit (IMU) data and utilizes a Multiscale Convolutional Neural Network (MCNN) to learn optical flow-based motion cues from visual data....
Workload acceleration by optimizing materialized view selection using local search
Announce Type: new Abstract: The growing size of database workloads has made view selection a key performance challenge. Materializing frequent sub-queries in workloads improves query efficiency, but it incurs significant view maintenance costs due to updates. Although existing methods such as BIGSUBS address this trade-off between the benefit of using materialized views and the overhead of view maintenance, they have two drawbacks: insufficient maintenance cost modeling and ineffective view...
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
arXiv:2606.01161v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have achieved remarkable success in various applications. Sampling-based GNN training, which conducts mini-batch training on sampled subgraphs, has become a promising solution for large-scale graphs. Given the resource-intensive nature of sampling-based GNN training, Neural Processing Units (NPUs), such as the Ascend AI processor, offer a promising alternative due to their high throughput and energy efficiency,...
Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents
arXiv:2606.08151v1 Announce Type: new Abstract: Tool-using LLM agents often fail not because relevant text is absent, but because decisive evidence is not selected, compressed, or surfaced at action time. We present CICL, a decision-aware context layer that turns instance evidence into a context graph, routes deterministic, Opus-assisted, Qwen, Codex/GPT-5.5, and Qwen-QLoRA judgments through a shared eight-field schema, scores units by action shift, outcome uplift, necessity, and...
South West Water owner admits firm must ‘learn lessons’ from parasite outbreak
South West Water owner admits firm must ‘learn lessons’ from parasite outbreak Residents and businesses were left without water after cryptosporidium contamination in its water supply - Bookmark - CommentsGo to comments The new chief executive of Pennon, owner of South West Water, has declared the group must "rebuild trust" following a record near-£2 million fine for a parasitic outbreak in its Devon supply. Keith Haslett, who took the helm on 1 April, stated Pennon "must learn lessons from...
XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G
Announce Type: cross Abstract: Artificial intelligence (AI)-native radio access networks (RANs) will serve vertical industries with stringent requirements: smart grids, autonomous vehicles, remote healthcare, industrial automation, etc. To achieve these requirements, modern 5G/6G design increasingly leverage AI for network optimization, but the opacity of AI decisions poses risks in mission-critical domains. These use cases are often delivered via non-public networks (NPNs) or dedicated...
TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI
Announce Type: cross Abstract: Multimodal stacks that mix ViTs, CNNs, GNNs, and transformer NLP strain embedded platforms because their compute/memory patterns diverge and hard real-time targets leave little slack. TRINE is a single-bitstream FPGA accelerator and compiler that executes end-to-end multimodal inference without reconfiguration.
Bugs and black mold: What some mobile home park residents see after investors buy in
This article is part of “Unaffordable America,” a series examining rising economic inequality in the U.S. and the policies that drive it. Soon after Aliea Brown rented Unit 62 at the Buck Island Manufactured Home Community in northern Mississippi in 2023, it became clear she couldn’t stay. The front door was hung upside down, Brown said, black mold began growing throughout the unit and the windows weren’t sealed properly.
Efficient Minimal Solvers for Relative Pose Estimation in Autonomous Driving Applications
arXiv:2606.09569v1 Announce Type: new Abstract: With the advancement of visual sensing systems, computer vision is playing an increasingly important role in autonomous driving and robot navigation. Relative pose estimation in multi-camera systems is essential for accurate vehicle localization and environment perception, demanding high real-time performance and robustness. Existing methods, however, often involve high computational costs and rely heavily on abundant feature matches, limiting...