North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
IEEE

Gender Abusive Bengali Text Classification using Enhanced CNN-LSTM Model with Bangla BERT ...

Abstract: With the rapid proliferation of social media and online communication platforms, the presence of gender-based abusive language has emerged as a significant issue in the digital sphere.
IEEE

Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach

Abstract: Natural Language Processing (NLP) is a tract of artificial intelligence and linguistics devoted to making computers understand the statements or words written in human languages. Amharic, ...
Frontiers

Multimodal imaging and machine learning for diagnosis of Parkinson’s disease with ...

1 Department of Neurology, General Hospital of Ningxia Medical University, Yinchuan, China 2 Department of Ophthalmology, General Hospital of Ningxia Medical University, Yinchuan, China Objectives: ...
GitHub

INT8 Optimization Slower Than FP32 on RTX A4000 in Windows + C++

When I run FP32, inference per image is ~17 ms. When I convert to FP16, model size reduces but per-image inference increases, even using CUDA execution provider. INT8 further reduces model size, but ...