Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn ...

A new study shows that lightweight transformer models can automatically classify the roles participants play in cyberbullying ...

A new multi-domain Arabic dataset and benchmark shows that deepfake-text detectors excel within familiar domains but falter ...

Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...

The goal is to speed ten technologies to readiness in the near future ...

Discover the 15 essential AI skills in 2026, from Python and machine learning to generative AI, automation, data and ...

Explore LLM architectures, general-purpose limitations, and why adapting models through Fine-Tuning and RAG is the real ...

Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, ...

Explore the groundbreaking Paraguayan-Led AI Research winning at PlatCon-26, enhancing trademark classification with AI.

LLMs will write your code and break your budget. Take advantage of model routing, semantic caching, prompt caching, reranking ...