Long video understanding (LVU) is challenging because answering real-world queries often depends on sparse, temporally dispersed cues buried in hours of mostly ...
The interpretation of the origin of observed exoplanets is usually done only qualitatively due to uncertainties of key parameters in planet formation models. To...
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the Worl...
Three years ago this week, Chat GPT was born. It amazed the world and ignited unprecedented investment and excitement in AI. Today, ChatGPT is still a toddler,...
Introduction — What is Key‑Value Cache and Why We Need It? !KV Cache illustrationhttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgra...
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science....
End-user development,where non-programmers create or adapt their own digital tools, can play a key role in driving digital transformation within organizations. ...
Why this intensive mattered to me What I liked most was the structure: short explanations, hands‑on labs, and then a capstone project that forced me to connect...
Introduction Tired of AI that's a black box? Frustrated by complex systems that are difficult to debug and adapt? What if you could build intelligent systems w...
Modern AI tools increasingly rely on multi-language learning models—systems trained on diverse linguistic data that understand ideas beyond the boundaries of a...
AI Memory Continuity: When Robots Start Feeling Familiar In my last post, I explored AI memory for robots—how machines could remember routines, learn habits, a...
Spiking Neural Networks (SNNs) are considered naturally suited for temporal processing, with membrane potential propagation widely regarded as the core temporal...
