AI Wiki — Knowledge Base

Hi everyone, I'm building a local AI agent with Ollama and exploring dynamic PDF extraction. Since Ollama can't directly process PDFs, I'm extracting text and passing it via prompts. Should I use PDFPlumber, a vector database (RAG), or another approach for accurate document understanding? Guide me !

User seeks guidance on PDF processing methods for local AI agents built with Ollama, comparing approaches like PDFPlumber extraction, vector database RAG systems, and alternative techniques for accura

local-air-ollama

8 Jun 2026

Search: “models”

Does Appearance Help? A Systematic Study of Image-Based Re-Identification in Online 3D Multi-Pedestrian Tracking

DSU-Net: An Attention-Enhanced Dense Skip U-Net for Breast Lesion Segmentation in Mammographic Images

Dual Latent Memory for Visual Multi-agent System

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE

Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required

Feasible Action Space Reduction for Quantifying Causal Responsibility in Continuous Spatial Interactions

Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation

Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition

GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning

Heterogeneous Effects of Green Finance on Urban Decarbonization: Evidence from 285 Cities in China

HORUS: A Mixed Reality Interface for Managing Teams of Mobile Robots

i expect value for money to increase over time as competitive pressures force providers to lower prices. but in the short time, looks like t…

Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers

KIT's Submission to Cross-Lingual Voice Cloning in IWSLT 2026

Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks

LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms

LLM-Guided Search for Deletion-Correcting Codes

London-based PhysicsX, which uses AI to design industrial parts like jet engines and semiconductors, raised a 300M Series C led by Temasek at a 2.4B valuation (Mark Bergen/Bloomberg)

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation

Measuring Agents in Production

Mind the Gap: Disentangling Performance Bottlenecks in Video Instance Segmentation

Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints

New paper on how AI agents are reshaping knowledge work. This is a nice economic read on where agents actually change knowledge work to meet…

Off-Policy Evaluation with Strategic Agents via Local Disclosure

OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation

On theCUBE Pod: Snowflake, Cisco and the race to control the AI stack

Optimal Control Approach for Non-prehensile Ball Juggling Using a 7-DoF Manipulator

Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication

Predicting Dynamic Map States from Limited Field-of-View Sensor Data

Probabilistic learning to perform pre-onset individualised prediction of disease severity: application to Veno Occlusive Disease

Quantifying Media Representation Dynamics Across 25 Years of News Reporting on Policing-related Deaths

Reactivity-Informed Machine Learning for Performance Prediction and Design Space Exploration of Alkali-Activated Slag

Semantic-Structural Alignment for Generative Pictorial Charts

Signal-Driven Observation for Long-Horizon Web Agents

Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning

TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion

Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China

The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

Three-dimensional hydro-cluttered locomotion by an undulatory robot

Towards Unified Song Generation and Singing Voice Conversion with Accompaniment Co-Generation

Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis

TraRA: Trajectory-level Recognition Aggregation for Video Text Spotting in Urban Surveillance

TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image Generation

Twelve quick tips for designing AI-driven HPC workflows