IEEE

Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning

Abstract: The utilization of Artificial Intelligence for Generative Content (AIGC) has emerged as an effective and sophisticated approach for generating synthetic Electroencephalography (EEG) signals.
Decrypt

This AI Agent Survived 6,000 Hack Attempts—Here’s How

Developer Fernando Irarrázaval's AI agent experiment drew over 6,000 hack attempts from more than 2,000 attackers. No one ...
IEEE

Extracting Diurnal Activity Patterns of Birds in Communal Roosts From Polarimetric Weather Radar Data

Abstract: Communal roosts are essential stopover sites for migratory birds. Monitoring the diurnal activity patterns of birds in communal roosts (DAPBCRs) is crucial for understanding their migratory ...
ZDNet

How to get your files off an Android phone with a broken screen - for free

Roku TV vs Fire Stick Galaxy Buds 3 Pro vs Apple AirPods Pro 3 M5 MacBook Pro vs M4 MacBook Air Linux Mint vs Zorin OS 4 quick steps to make your Android phone run like new again How much RAM does ...
GitHub

Document knowledge mining solution accelerator

Ingest, extract, and classify content from a high volume of assets to gain deeper insights and generate relevant suggestions for quick and easy reasoning. This enables the ability to conduct ...
ebm.bmj

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...