Deep Learning

While many companies have joined the race to develop AGI, today’s popular AI models are still widely considered to be ANI. Why is that?

Embedded systems projects focus on designing and implementing specialized computing solutions into devices for specific applications.

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.