IEEE

Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer

Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.
IEEE

Benchmark Text Preprocessing Techniques in Natural Language Processing

Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...
CU Boulder News & Events

Using AI ethically: 6 tips for bringing AI tools into learning and work

How do you AI? Environmental, privacy, political, and intellectual property issues aside (and those are major issues), there are many ethics considerations involved in how we approach our own ...
Microsoft

Computer-using agents now deliver more secure UI automation at scale

See how new updates to computer‑using agents improve UI automation with secure credentials, detailed monitoring, and scalable Cloud PC capacity. When we first introduced computer-using agents (CUAs) ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
GitHub

A methodology to pre-process text data for preventing lookahead bias in Large Language Models (LLMs), particularly in financial text analysis.

Entity Neutering is a text preprocessing technique designed to anonymize financial documents and news articles to prevent LLMs from using prior knowledge about specific companies, industries, or time ...