Deep Learning

We walk through how contrastive learning enhances ML models by learning differences and similarities in data.

YOLOv4, released in 2020, serves as a continuation of open-source computer vision as part of the "You Only Look Once" series.

Explore the EU AI Act's key implications for businesses: Understand the act's basics, expectations for companies, guidelines, and its impact.

Deep dive into the groundbreaking research of John Hopfield and Geoffrey Hinton, the 2024 Nobel Prize winners in Physics.

The OpenPose library uses neural networks to perform real-time human body pose estimation for single- and multi-person video analysis.

Why did your model give that output? Learn how explainable ai gives insight into model decisions for trust and accountability in ML systems.

Everything you need to know about the ImageNet dataset and its resounding impact on the world of computer vision and machine learning.

Easy to understand guide about Pattern Recognition with AI and Machine Learning. The forms, methods, and examples you need to know.

Explore Visual Question Answering (VQA) through the intersection between computer vision and natural language processing.

AI emotion recognition is a field of computer vision focusing on facial emotion detection and automatic sentiment analysis from visual data.

Neuron activation is where a neuron fires, transmitting signals in the brain or artificial neural networks, influencing information flow.

Explore AI licensing with our study on types, selection guides, and FAQs to navigate the complexities of AI legal frameworks effectively.