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Pulse · computing.co.uk

computing.co.uk · Nov 5

Revolut turns to self-hosted AI to cut coding costs tenfold over Claude

Pulse · wazzup.ph

wazzup.ph · Nov 5

Tencent Cloud Expands Global Growth and Enterprise AI

Overseas customer base doubles amid triple-digit growth in demand for AI products and services. Tencent previews upcoming Hy4 model releases and expands its enterprise AI portfolio. Tencent has unveiled the enterprise capabilities of its AI office productivity agent, WorkBuddy, while offering a preview of its upcoming Hy4 and Hy4 Flash models at the 2026 Tencent […]

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arXiv

Nov 4

From Pixels to Actions - Towards Native Vision-Language-Action Policies

Vision-language-action models are typically built on a simple premise: perception is first compressed by visual encoders, and action reasoning begins only afterwards. Yet manipulation often hinges on precisely the visual signals most vulnerable to this abstraction, e.g., local geometry, boundaries, depth, and subtle state changes. This raises a fundamental question: should action policies inherit a fixed visual endpoint, or directly access evolving visual computation? We introduce NEO-VLA, a structurally encoder-free vision-language-action framework. Images are tokenized by lightweight patch convolutional layers and evolve jointly with language throughout the backbone, allowing a flow-matching action expert to draw from instruction-conditioned visual representations at different depths. This simple change reveals a consistent pattern. Native architectures outperform encoder-based counterparts under controlled comparisons; full fine-tuning reduces but does not erase the gap, and additional scale alone cannot recover it. More strikingly, layer-wise probing shows that the action-critical signals often peak well before the final visual representation. Across diverse manipulation…

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arXiv

Sep 18

AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory

Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typically rely on fixed granularities or static schemas, but these designs struggle when heterogeneous…

arXiv

Sep 18

Info3R: Information-Adaptive Test-Time Training for 3D Reconstruction

Transformer-based models have recently achieved strong performance on 3D reconstruction from images, and recent works extend them to process video streams in an online manner for real-world deployment. However, existing methods overlook two key signals when handling long image…

arXiv

Sep 18

Joint Remaining Useful Life Prediction and Capacity Estimation of Lithium-Ion Batteries Using Partial-Charging Data

Joint remaining useful life (RUL) prediction and capacity estimation require representations of both gradual degradation and recent battery behavior. This paper presents a cross-expert framework using partial-charging measurements without requiring measured historical…

arXiv

Sep 18

Kinks vs. Smoothness: Identifiability of Real Analytic nICA for Laplace-like Sources

Many machine learning systems try to explain complex data - like images or financial time series - in terms of hidden, independent factors that generated them. Recovering the true underlying factors, rather than some scrambled version of them, is the central challenge of…

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