There is a lot of hype surrounding "vibe coding." But there is a darker reality to letting AI write your entire code and ignoring fundamental software skills.
Large language models (LLM) require huge memory and computational resources. LLM compression techniques make models more compact and executable on memory-constrained devices.
Learn how deep neural networks detect objects in images in this primer on object detection with deep learning.
NLP and NLG, the two branches of AI that parse and generate human language, have removed many of the barriers between humans and computers.
Support vector machine (SVM) is a type of machine learning algorithm that can be used for classification and regression tasks.
OpenAI's GPT-5 is finally here, but a rocky rollout and mixed reviews have divided the community, creating a reality check for AI hype.
In tandem with advances in artificial intelligence, there’s growing interest in establishing ethical guidelines and standards to weigh the robustness and trustworthiness of the AI algorithms that are helping or replacing humans in making important and critical decisions.
By Mona Eslamijam
Image credit: 123RF
This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.
Imagine scrolling an online news article by merely staring at the bottom of the webpage. How about reorganizing your desktop files by dragging them around with your gaze?
For years we’ve been using mice and keyboard...
The new gpt-oss open-weight models undercut OpenAI's own closed LLMs, marking a strategic pivot designed to reshape the competitive AI market.




























