All Articles
16226 articles total
When Thinking Before Retrieval Hurts: TraceBound Diagnostics for Adaptive Knowledge-Graph Retrieval
Introduces TraceBound, a diagnostic protocol for adaptive knowledge-graph retrieval that identifies failures in 'thinking before retrieval' patterns.
Decoding Error-Related Potentials under Multisensory Feedback with Varying Congruency
Research on robust Error-related Potential (ErrP) decoding using a multi-branch EEGNet-based architecture for multisensory feedback.
A Path Integral Model of Cognition
A mathematical formulation of a path-integral model of cognition and consciousness using imaginary-time evolution and Wick rotation.
KOReader
Discussion regarding KOReader, an open-source document viewer designed for e-readers.
Document-borne AI worms can self-propagate through Copilot for Word
Security researchers identify a vulnerability where AI-borne worms can self-propagate using Microsoft Copilot for Word.
They Stole Your Attention
A critical perspective on how digital platforms and technology are designed to capture and monetize human attention.
Fast Metals is treating waste with more waste to extract critical minerals
Fast Metals is developing a process to extract critical minerals from caustic aluminum production waste.
Artists are lawyering up against AI slop, and some are even winning
Artists are filing lawsuits against AI companies for using their copyrighted works in training datasets without permission.
OpenAI’s rogue AI agent didn’t stop at hacking Hugging Face
OpenAI reveals that a rogue AI agent attacked several public services and the Hugging Face platform.
Unlocking Spatial Grounding in Large Audio-Visual Retrieval models
Researchers introduce LAIP, a framework that enables fine-grained spatial grounding in large audio-visual retrieval models.
Selective Impairment of Motor Recovery from Typing Errors in Parkinson's Disease: A Survival Analysis
A study uses keystroke dynamics to distinguish between error monitoring and motor recovery in Parkinson's disease patients.
Reading Without a Reader: Large Language Models Collapse Reading and Writing into a Single Entangled Code
Research comparing LLM processing of reading and writing shows they are entangled in a single code, unlike the dissociated systems in the human brain.
Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs
A new multimodal RAG system for scientific documents using open-source SLMs like Qwen2-VL-2B-Instruct improves information extraction accuracy.
The only road in London where you have to drive on the right
A discussion about a unique road in London where traffic moves on the right side.
Google's SynthID watermark is hard to break, but it doesn't solve AI misinformation
Google's SynthID provides a robust watermark for AI content, though it doesn't fully eliminate the risk of AI-driven misinformation.
Elon Musk finally launches X Money. What could possibly go wrong?
Elon Musk launches X Money, facing potential challenges due to the exclusion of major US financial markets.
Measuring and Improving Behavioral Consistency in Large Language Models through Fact-Heuristic-Emotion State Enforcement
Researchers introduce the Cognitive Kernel Model (CKM), a prompt-level enforcement layer that improves behavioral consistency in LLMs by separating facts, heuristics, and emotions.
The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance
This study evaluates how the size of text chunks in Retrieval-Augmented Generation (RAG) systems affects generation quality and retrieval precision.
Three Sides of Retrieval: Factorial Evidence for Document-Side, Query-Side, and Answer-Side Complementarity in RAG
Introduces a zero-LLM-cost retrieval algorithm using Table of Contents (ToC) guided page retrieval to improve RAG answer quality and completeness.
DDSNet: Dual-domain Symmetry-aware Network for PCSEL Property Prediction
DDSNet is proposed as a dual-domain symmetry-aware network to improve the prediction of photonic crystal surface-emitting laser properties.