IEEE

Predictive Coding and Surprisal Effects on N400 Amplitude: An ERP Study Using BERT-Based Language Models in Japanese Contexts

Abstract: This study aims to reevaluate the role of the N 400 component in language processing from the perspective of predictive coding theory and investigate the impact of surprisal on N400 ...
Morning Overview on MSN

Study: The brain predicts images during eye jumps to stabilize vision

Every time the human eye darts from one point to another, the retinal image smears across the visual field. These rapid jumps ...
GitHub

This project provides an interactive demonstration of I-JEPA (Image-based Joint-Embedding Predictive Architecture), a PhD-level Artificial Machine Intelligence (AMI) that ...

I-JEPA is a self-supervised learning method for generating semantic image representations without relying on hand-crafted data augmentations often used in invariance-based methods. It operates on the ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...
IEEE

Texture-Adaptive Cost Modeling via Residual Frequency Quantization and Predictive Order Awareness for WebP Steganography

Abstract: WebP, as an image format increasingly adopted across the internet, is becoming an important cover for steganography, yet its steganographic capacity remains largely unexplored. The ...