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B&M 'stylish' £20 item 'suits any garden' similar to B&Q 'versatile' £40 item
B&M 'stylish' £20 item 'suits any garden' similar to B&Q 'versatile' £40 item B&M is selling a £20 solar-powered item described as stylish and suited to any outdoor space Bargain hunters keen to brighten up their outdoor spaces on a budget might want to make a beeline for B&M. The discount chain is stocking a garden must-have that it claims will "suit any garden" – and the wallet-friendly price tag is beginning to turn heads among shoppers. Describing the £20 Solar Powered Metal Side Table,...
Onana revels in chance to prove versatility for Belgium
Onana revels in chance to prove versatility for Belgium June 3 : Belgium midfielder Amadou Onana says he is happy to drop back into defence if needed at the World Cup after a successful experiment with a change of tactical formation in Tuesday’s away victory over Croatia. Onana, usually the midfield destroyer for the Belgians, was shifted to centre back for the start of the friendly in Rijeka, which Belgium won 2-0 with a morale-boosting performance. It was a surprise switch from their...
Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
arXiv:2606.01701v1 Announce Type: new Abstract: Geometric partitioning has attracted increasing attention by its remarkable motion field description capability in the hybrid video coding framework. However, the existing geometric partitioning (GEO) scheme in Versatile Video Coding (VVC) causes a non-negligible burden for signaling the side information. Consequently, the coding efficiency is limited.
MX-SAFE: Versatile Inference- and Training-Proof Microscaling Format with On-the-Fly Exponent and Mantissa Bit Allocation
arXiv:2605.24391v2 Announce Type: replace Abstract: As the demand for deep learning grows, cost reduction through quantization has become essential for both training and inference. In 2022, the Open Compute Project (OCP) consortium standardized narrow precision formats for deep learning, called the microscaling (MX) format. The MX format is a hardware-friendly dynamic quantization scheme that effectively reduces the data size by sharing an 8-bit exponent across multiple operands.
dCas allele sequestration (das-CRISPR): A Versatile New Method to Achieve Monoallelic Gene Editing in Mouse Embryos and in cell culture.
CRISPR-Cas9 technology is a powerful tool extensively used for genome editing in mouse and many other species. Streptococcus pyogenes Cas9 efficiently cuts both alleles in mouse zygotes leaving many edited embryos without a functional protein that might be needed to sustain development, to survive postnatally or to reproduce, thus complicating its overwhelmingly advantageous use in making gene modifications. About 25% of mouse genes are essential for embryonic development and another 7% are...
Conveyance: A Versatile Framework for Learning in Structured Class Spaces
arXiv:2605.28420v2 Announce Type: replace Abstract: While machine learning (ML) architectures have evolved rapidly to account for complex data, loss functions like cross-entropy remain mostly structure-agnostic in many real-world applications. However, the "class-symmetric" nature of these standard losses fundamentally limits the ability of ML models to exploit structural relationships between classes, particularly when facing structured noise. We propose Conveyance, a new classification...
SIGMA: A Versatile Streaming Graph Partitioner for Vertex- and Edge-Balanced Distributed GNN Training
Announce Type: new Abstract: Distributed Graph Neural Network (GNN) training depends critically on how the underlying graph is partitioned across compute resources. Existing graph partitioners focus either on vertex partitioning or edge partitioning and typically optimize only a single communication objective (edge cut or vertex cut) under a single balance constraint (vertex balance or edge balance).
Crafting Your Evolving Dreams: Concept-Incremental Versatile Customization
Announce Type: new Abstract: Custom diffusion models (CDMs) have garnered significant interest owing to their remarkable capacity for generating personalized concepts. However, the majority of CDMs unrealistically presume that the user's collection of personalized concepts is static and incapable of incremental growth over time. Furthermore, they exhibit significant catastrophic forgetting and concept neglect of previously learned concepts when incrementally learning a sequence of new ones.
M3imic: Learning a Versatile Whole-Body Controller for Multimodal Motion Mimicking
Announce Type: new Abstract: Building a general-purpose whole-body controller is essential for enabling diverse motion capabilities in humanoid robots across a wide range of downstream tasks, including locomotion and loco-manipulation. Different tasks rely on distinct motion reference modalities: locomotion primarily depends on coordinated robot joint trajectories, whereas manipulation requires precise end-effector trajectory tracking. Existing methods often overlook the representational...
T-GMP: Terrain-conditioned Generative Motion Priors for Versatile and Natural Humanoid Locomotion
arXiv:2606.06944v1 Announce Type: new Abstract: Achieving both anthropomorphic naturalness and robust terrain traversal remains a fundamental challenge in humanoid locomotion. Existing Reinforcement Learning (RL) approaches typically rely on fixed motion priors, limiting their adaptability to varying environments. We propose Terrain-conditioned Generative Motion Priors (T-GMP), a module that captures a terrain-conditioned latent motion manifold from a few expert state-terrain demonstrations...