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Pulse · enterprisetimes.co.uk

enterprisetimes.co.uk · Oct 29

NetSuite releases SuiteSkills, letting customers bring their own AI models to ERP workflows -

Pulse · eu.36kr.com

eu.36kr.com · Oct 29

"North American Doubao" has become the world's most powerful model, and Google's market capitalization has dropped by more than 300 billion US dollars.

Beat AI, Lost Wall Street: Unveiling the Paradox of Outperforming Artificial Intelligence While Facing Setbacks in the Financial Hub. This in-depth analysis explores the real-world scenarios where market participants successfully outmaneuver advanced AI-driven trading systems, yet encounter unexpected failures and strategic missteps in the high-stakes Wall Street ecosystem. It delves into the core conflicts between human trading intuition, algorithmic limitations, market volatility, and…

Pulse · msn.com

msn.com · Oct 29

Samsung sees AI chip shortage worsening, keeps investors in suspense on returns

By Hyunjoo Jin and Joyce Lee SEOUL, Oct 29 (Reuters) - Samsung Electronics posted a 15-fold jump in quarterly chip profit on Thursday, powered by the AI boom, but its shares tumbled as investors balked at a lack of fresh shareholder-return plans and an outlook that lagged rival SK Hynix's.

Pulse

Top picks this weekarXiv

arXiv

Oct 27

Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction

Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit locally planar regions with smoothly varying appearance using fewer, larger primitives. Their hexagonal support provides an area- and boundary-efficient domain, while the local color field captures appearance variation within each primitive. Across 34 scenes, Hexels improve PSNR over memory-matched 2DGS by 4.53-7.38 dB across datasets while requiring lower training VRAM. We further ablate Hexels by showing that per primitive, Hexels outperform 2DGS by upto 4.74 dB while using lower training VRAM and having 2.31 times faster FPS. Even in unconstrained settings, Hexels offers complementary quality-memory trade-offs. For efficient 3D surface reconstruction, Hexels reduce error by 28.9% compared with memory-matched 2DGS across 15 DTU scans. On 6 Tanks and Temples surface scenes, Hexels achieves the highest mean F1 among compared…

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arXiv

Sep 21

TimeLitmus: A Diagnostic Benchmark for Cross-Modal Understanding and Explanation Faithfulness in Event-Conditioned Time-Series Prediction

Large language models (LLMs) are increasingly used to make predictions from numerical time-series histories and textual events. Yet accuracy alone cannot reveal whether correct answers reflect effective integration of the two inputs or instead arise from event polarity,…

arXiv

Sep 21

Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions

Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things (IoT). To support time-sensitive and resource-constrained applications, IoT systems nowadays increasingly rely on edge…

arXiv

Sep 21

Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation

Reliable uncertainty estimation is essential for deploying object detectors in autonomous systems operating in uncertain environments. Evidential Deep Learning (EDL) provides a principled framework for uncertainty-aware classification by representing network outputs as evidence…

arXiv

Sep 21

Beyond Endpoint Performance: Process-Level Evaluation of Self-Evolving Agents

Self-evolving agents convert interaction feedback into persistent artifacts, such as memories or skills, which in turn guide subsequent decisions. As these artifacts are iteratively updated throughout an experience stream, the capabilities they support may evolve. Consequently,…

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