arxiv arXiv cs.AI · 5h ago

Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning

This study proposes a probabilistic framework for longitudinal modeling of Alzheimer's disease progression that combines ordinal diagnosis prediction, multi-horizon trajectory generation, and decomposed uncertainty estimation. The approach utilizes a Temporal Fusion Transformer encoder and an autoregressive Mixture Density Network to generate five-year probabilistic trajectories while quantifying both aleatoric and epistemic uncertainty.

arxiv arXiv cs.AI · 5h ago

ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling

The paper introduces ScaleToT, a method that learns structured reasoning from a small subset of users and extends it to billions of low-activity users with sparse profiles. It combines a bounded entropy-guided Tree-of-Thought refinement with supervised fine-tuning and reward policy optimization to transfer reasoning capabilities without full LLM inference.

arxiv arXiv cs.AI · 5h ago

Abstractions of Queries in Ontology-Based Data Access

This article addresses query abstraction in ontology-based data access (OBDA) by translating data queries to the ontology layer using existential rules and certain answer semantics.

arxiv arXiv cs.AI · 5h ago

When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

This paper investigates the challenges of Competency Question (CQ) verification, a process where ontologies are evaluated against natural language questions to ensure proper modeling. The authors analyze why CQs become difficult and how an LLM assistant can support users during this evaluation.

arxiv arXiv cs.AI · 5h ago

Infinitesimal Causality

This paper introduces a categorical account of infinitesimal causality in Frobenius Markov categories equipped with tangent-bundle semantics. It defines causal sufficiency through the compatibility of two distinct Frobenius structures: one encoding classical variable operations and another representing geometric integrability.

arxiv arXiv cs.AI · 5h ago

Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback

The authors introduce Themis, an XAI-enabled testing and evaluation framework that combines transparency through explainability with alignment via human feedback for safe Reinforcement Learning systems.

arxiv arXiv cs.AI · 5h ago

Privacy-Preserving RAG via Multi-Agent Semantic Rewriting

The authors propose a multi-agent framework that sanitizes retrieved content in Retrieval-Augmented Generation (RAG) systems through semantic rewriting to prevent privacy leakage from malicious prompts. By employing three specialized agents for privacy extraction, semantic analysis, and reconstruction, the approach removes sensitive identifiers while preserving the core meaning of the text.

arxiv arXiv cs.AI · 5h ago

SAFARI: Scaling Long Horizon Agentic Fault Attribution via Active Investigation

The article introduces SAFARI, a framework designed to diagnose failures in autonomous agents by replacing linear context loading with a tool-augmented diagnostic loop. This approach decouples diagnostic accuracy from architectural context limits by using specialized tools and short-term memory to analyze trajectory segments.

arxiv arXiv cs.AI · 5h ago

Visualizing 'We the People': Bridging the Perception Gap through Pluralistic Data Storytelling

This article examines how intentional, pluralistic design choices in AI-enabled digital platforms can produce visualizations that emphasize nuance and intergroup commonalities, thereby reducing political polarization. It highlights a specific deliberative technology initiative that maps high-dimensional opinion spaces to reveal areas of both consensus and dissensus among diverse populations.

media r/LocalLLaMA · 5h ago

Mellum2 local deployments

JetBrains has open-sourced the Mellum2 models, a series of 12B-2.5A LLMs trained from scratch to target fast inference on H100/H200 hardware as well as local deployments.

arxiv arXiv cs.AI · 6h ago

CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning

Researchers propose CineCap, a framework that combines structured reasoning with spatio-temporal anchors and reinforcement learning to improve cinematographic video captioning. The method grounds professional film-language descriptions in explicit visual evidence while balancing descriptive completeness and factual correctness.

media AI News (smol.ai) · 6h ago

Anthropic launches Claude Tag, a Slack-native async delegation tool

Anthropic has launched Claude Tag, a new workflow feature that allows teams to delegate work to Claude asynchronously within Slack. Positioned as a shift from one-user chat to teamwide collaboration, the tool enables Claude to join as a team member with access to selected channels, tools, and codebases.

lab NVIDIA Technical Blog · 6h ago

Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations

Power consumption represents 40% of the operating expenses for running an AI factory, with performance per watt becoming a critical efficiency metric that directly impacts token costs.

media r/LocalLLaMA · 6h ago

Building a web access layer for local AI agents

A developer shares their experience of creating a centralized web access layer to manage interactions between local AI models and external services. This approach addresses the maintenance burden of building individual integrations for every new agent project.

media r/LocalLLaMA · 6h ago

NASA tests local LLM inference for future space missions

Red Hat and NASA researchers are developing the Crew Medical Officer Digital Assistant (CMO-DA), a medical AI system that runs large language models on local hardware with zero cloud dependency. This initiative addresses the impracticality of Earth-based telehealth for astronauts on Moon or Mars missions due to light delay and communication blackouts.

media r/LocalLLaMA · 6h ago

Setup an H200 NVL on consumer(ish) hardware

A user successfully configured an NVIDIA H200 NVL GPU on a workstation built with ASUS WRX90E-SAGE SE motherboard and a 64-core Threadripper processor, demonstrating that high-end AI accelerators can run on non-server hardware.

media r/LocalLLaMA · 6h ago

CPU-only GLM 5.2: Epyc and 512GB RAM

A user tested the 4-bit version of GLM-5.2 (GLM-5.2-UD-Q4_K_XL) on a server equipped with an Epyc Rome 7452 processor and 512GB of RAM. The model was evaluated using a complex coding prompt requiring the creation of a self-contained 3D arena game in HTML, CSS, and JavaScript.

media Hugging Face Forums · 6h ago

We all start somewhere

A developer with over 25 years of experience in web technologies is transitioning into AI engineering to move beyond using tools and understand how to build with them.

media Hugging Face Forums · 6h ago

User unable to restart private Hugging Face Space due to 503 error

A user reports that their private Hugging Face Space, specifically 'Ark-kun/tangent', stopped working abruptly and cannot be restarted. Attempts to restart or perform a factory rebuild both fail with a "503. Something went wrong when restarting this Space" error.

lab NVIDIA Technical Blog · 7h ago

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

NVIDIA introduces DFlash speculative decoding to significantly boost inference performance on its Blackwell architecture, addressing the latency challenges inherent in autoregressive LLMs.