“Google DeepMind CEO suggests China's AI models are only a few months behind the US, showing the rapid global convergence.”

“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”

“To address these limitations, we propose HyperJoin, a large language model (LLM)-augmented Hypergraph framework for Joinable table discovery.”

“今回は、単発の実装ではなく「いろいろなアプリに横展できる」ことを最優先にして、オープンソース的に再利用しやすい構成にしています。”

“NL suggests a philosophy to design more expressive learning algorithms with more levels, resulting in higher-order in-context learning and potentially unlocking effective continual learning capabilities.”

“When using the Gemini CLI, it constantly edits the code to the extent that it duplicates code within modules. My modules are at most 600 LOC, is this a Gemini CLI/Antigravity issue or a model issue? For this reason, it is pretty much unusable, as you then have to manually clean up the mess it creates”

“Hey all, I recently launched a set of interactive math modules on tensortonic.com focusing on probability and statistics fundamentals. I’ve included a couple of short clips below so you can see how the interactives behave. I’d love feedback on the clarity of the visuals and suggestions for new topics.”

“The results revealed promising performance, measured by response accuracy in device control (86%), memory-related tasks (97%), scheduling and automation (74%), and energy analysis (77%), while more complex cost estimation tasks highlighted areas for improvement with an accuracy of 49%.”

“If a finitely generated VI^m-module is generated in degree ≤ d and related in degree ≤ r, then its regularity is bounded above by a function of m, d, and r.”

“CPJ significantly improves performance: using GPT-5-mini captions, GPT-5-Nano achieves +22.7 pp in disease classification and +19.5 points in QA score over no-caption baselines.”

“The paper demonstrates the superiority of HaineiFRDM in defect restoration ability over existing open-source methods.”

“The state transfer fidelity reaches 98.2% for quantum states encoded in the first two energy levels, achieving a Bell state fidelity of 92.5%.”

“OFL-SAM2 achieves state-of-the-art performance with limited training data.”

“The exttt{Mgformer}-based module is superior in performance and flexibility. Its representative recall and precision values are 0.79 and 0.76, respectively, and can be modified by adjusting the threshold.”

“The paper describes the structure of the twisted Jacquet module π_{N,ψ} of π with respect to N and a non-degenerate character ψ of N.”

“NL suggests a philosophy to design more expressive learning algorithms with more levels, resulting in higher-order in-context learning and potentially unlocking effective continual learning capabilities.”

“The paper introduces a new dataset named "FireRescue" and proposes an improved model named FRS-YOLO.”

“Experiments demonstrate that Youtu-Agent achieves state-of-the-art performance on WebWalkerQA (71.47%) and GAIA (72.8%) using open-weight models.”

“CLoRA strikes a better balance between learning performance and parameter efficiency, while requiring the fewest GFLOPs for point cloud analysis, compared with the state-of-the-art methods.”

“The paper determines generalised Chebyshev-like forms for the determinants of gram matrices of contravariant forms for standard modules.”

“The approach achieves a 20.15% reduction in Mean Spectral Information Divergence (MSID), up to 1.09% PSNR improvement, and a 1.62% log transformed MS-SSIM gain over strong learned baselines.”

“DyStream could generate video within 34 ms per frame, guaranteeing the entire system latency remains under 100 ms. Besides, it achieves state-of-the-art lip-sync quality, with offline and online LipSync Confidence scores of 8.13 and 7.61 on HDTF, respectively.”

“The pipeline can execute the software stack and the simulation up to three times faster than real-time.”

“DRL-TH outperforms existing methods in various crowded environments. We also implemented DRL-TH control policy on a real UGV and showed that it performed well in real world scenarios.”

“The paper proves that a certain universal successive extension of filtered (φ,N)-modules can be realized as the space of homomorphisms from a suitable shift of the dual of locally K-analytic Steinberg representation into the de Rham complex of the Drinfeld upper-half space.”

“MambaSeg achieves state-of-the-art segmentation performance while significantly reducing computational cost.”

“ARM learns to adaptively fuse hierarchical features. It employs a semantically-guided cross-attention block, using robust deep features (K, V) to select and refine detail-rich shallow features (Q), followed by a self-attention block.”

“The core of PartMotionEdit is a Part-aware Motion Modulation (PMM) module, which builds upon a predefined five-part body decomposition.”

“The framework incorporates a Salient Region Selection module and a Jacobian Vector Product Guidance mechanism to generate physically plausible adversarial objects.”

“The paper concludes the existence of a biregular morphism between the corresponding de Rham complex structures.”

“SPARK formalizes a persona space defined by role, expertise, task context, and domain, and introduces a Persona Coordinator that dynamically interprets incoming queries to activate the most relevant specialized agents.”

“GASeg achieves state-of-the-art performance on four benchmarks, including COCO-Stuff, Cityscapes, and PASCAL, validating our approach of bridging geometry and appearance via topological information.”

“GCA-ResUNet achieves Dice scores of 86.11% and 92.64% on Synapse and ACDC benchmarks, respectively, outperforming a range of representative CNN and Transformer-based methods.”

“The paper proposes an improved aggregation module that integrates a Mixture-of-Experts (MoE) routing into the feature aggregation process.”

“HAT consistently improves 3D temporal detectors and trackers across diverse baselines. It achieves state-of-the-art tracking results with 46.0% AMOTA on the test set when paired with the DETR3D detector.”

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“TV-RAG realizes a dual-level reasoning routine that can be grafted onto any LVLM without re-training or fine-tuning.”

“SC-Net outperforms state-of-the-art methods in relative pose estimation and outlier removal tasks on YFCC100M and SUN3D datasets.”

“SOFTooth achieves state-of-the-art overall accuracy and mean IoU, with clear gains on cases involving third molars, demonstrating that rich 2D semantics can be effectively transferred to 3D tooth instance segmentation without 2D fine-tuning.”

“MGCA-Net significantly outperforms existing SOTA methods in the outlier rejection and camera pose estimation tasks.”

“The paper proposes Task-aware Timestep Selection (TTS) and Timestep Feature Consolidation (TFC) modules.”

“PGOT achieves consistent state-of-the-art performance across four standard benchmarks and excels in large-scale industrial tasks including airfoil and car designs.”

“GeoTeacher enhances the student model's ability to capture geometric relations of objects with limited training data, especially unlabeled data.”

“URDD provides a unified, extensible resource for reducing redundancy and establishing shared standards across robotics frameworks.”

“The Active Cognition-based Reasoning (ACR) module performs human-like perception of the target via a cognitive task chain and actively reasons about contextually relevant objects, thereby extending VLM cognition through a dynamically updated OLT.”

“The method leverages orthogonal basis extraction from previously learned LoRA to initialize the learning of new tasks, further exploits the intrinsic asymmetry property of LoRA components by using a time-aware scaling mechanism to balance new and old knowledge during continual merging.”

“The article also cites reports that one laptop manufacturer "plans to raise the prices of high-end models by as much as 30%."”

“WRCFormer achieves state-of-the-art performance on the K-Radar benchmarks, surpassing the best model by approximately 2.4% in all scenarios and 1.6% in the sleet scenario, highlighting its robustness under adverse weather conditions.”

“DRMNet surpasses state-of-the-art methods, particularly in complex scenarios with high object density and severe occlusion.”

“Argus features a Length-Aware Semantics (LAS) module, which predicts output token lengths for incoming prompts...enabling precise estimation.”