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Hugging Face Models on Foundry Managed Compute
Hugging Face has integrated its model repository with Foundry Managed Compute to provide developers with scalable, managed infrastructure for running AI models.
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美联储理事沃勒：如果核心通胀再次出现高位， 美联储将需要考虑近期加息
Federal Reserve Governor Christopher Waller stated that persistent high core inflation, driven partly by AI infrastructure demand, could necessitate near-term interest rate hikes.
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AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters
NVIDIA's new Vera CPU architecture focuses on maximizing single-threaded performance to handle the reasoning and tool-calling tasks required by agentic AI systems.
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SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection
SimRPD is a new framework designed to optimize proactive recruitment dialogue agents by evaluating and selecting high-quality training data using a simulator.
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A Transdiagnostic Space of Disorder Like Phenotypes in Reinforcement Learning Agents
Researchers have modeled psychological disorder phenotypes in reinforcement learning agents by manipulating cognitive appraisal signals within an appraisal-guided optimization framework.
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Structured Pruning of Large Language Models via Power Transformation and Sign-Preserving Score Aggregation with Adaptive Feature Retention
This paper presents a structured pruning method for large language models that adapts unstructured techniques to maintain optimization direction and feature retention.
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Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study
This study simulates a multi-agent marketplace to identify the formal communication and structural mechanisms required to maintain market stability among self-interested AI agents.
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Persona Matters: Effects of Activation Steering on Short Answer Generation and Scoring
A new study examines the impact of activation-based persona steering on short-answer generation and automated grading across three language models.
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FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning
FedOPAL introduces an analytical visual prompt tuning method to reduce communication overhead and server-side computation in one-shot federated learning.
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TNODEV: Toolbox for Neural ODE Verification
The TNODEV toolbox has been introduced to enable the formal verification and iterative reachability analysis of neural ordinary differential equations in safety-critical systems.
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Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
Inspired by cognitive neuroscience, this paper proposes a multi-view hypergraph learning method to improve the detection of online financial fraud.
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ArtMine: Discovering and Formalizing Artistic Processes
ArtMine is a framework designed to analyze and formalize the iterative decision-making processes of creating art rather than just modeling the final visual output.
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PARA-PV: Physics-Aware Retrieval-Augmented PV Prediction Based on Frozen Foundation Model and Distribution Shift Correction
The proposed PARA-PV framework integrates physical knowledge with frozen foundation models to improve the accuracy of solar power forecasting.
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EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
Researchers have developed EasyLens, a training-free, plug-and-play tool designed to enhance the sensitivity of medical vision-language models to subtle clinical lesions.
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OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping
The Octree Residual Network enables real-time, differentiable Euclidean signed distance function reconstruction from point cloud data for robotic autonomy.
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Data for Agents
Hugging Face has published an analysis focusing on the role and preparation of training data specifically optimized for artificial intelligence agents.
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Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio
This technical guide explains how to build and deploy an e-commerce Model Context Protocol server using Amazon Bedrock AgentCore and Mistral AI Studio.
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Leveraging Color Naming for Image Enhancement
A new image enhancement framework called NamedCurves+ utilizes color naming concepts to make deep-learning-based photo editing more interpretable and adjustable for users.
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ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
The proposed ADORN framework utilizes Q-learning to optimize retraining schedules for machine learning models facing performance drift in Open Radio Access Networks.
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Psychological Competence as a Missing Dimension in AI Evaluation
This paper argues that current AI evaluation frameworks should expand beyond technical metrics to include psychological competence for models interacting directly with humans.
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XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
The XFACTORS framework combines contrastive supervision with the information bottleneck principle to achieve stable and scalable disentangled representation learning.
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RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
The RhyMix network is a lightweight model designed to capture diverse temporal patterns simultaneously for more accurate long-term time series forecasting.
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Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph
This paper explores the analytical potential of utilizing UMAP's internal k-nearest-neighbor graph to analyze high-dimensional data before projection distortion occurs.
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Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
A new framework aims to improve the explainability of temporal graph networks by analyzing how historical events stored in memory modules influence model predictions.