Learn what VGG networks are, how they work, and why they’re important in deep learning and computer vision. #DeepLearning ...

In the world’s fast-growing cities, everything from road congestion to public safety is under pressure. As populations swell and infrastructure ages, many urban centres are at a breaking point. Yet ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Discerning the difference between these types of snakes, however, is hard without proper information. As such, let’s learn about Green Mambas and Boomslangs, their similarities, differences, and ...

Accurate facial expression recognition (FER) systems are critical for many applications, including human- computer interaction, emotion analysis, and healthcare. This study uses the CK+ dataset, which ...

Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep learning ...

The deep state leakers and their Democrat media mouthpieces are so blinded by their hatred for the president that they will go to treasonous lengths just to deny him a victory.

Difference between extreme heat watch and extreme heat warning Areas where dangerous heat is possible are placed under an extreme heat warning and are asked to prepare in case it happens.

Plant diseases remain a significant threat to global agriculture, necessitating rapid and accurate detection to minimize crop loss. This paper presents a lightweight, end-to-end system for plant leaf ...

CNN's Abby Phillip appeared highly entertained by wild clips from Tucker Carlson's interview with Sen. Ted Cruz.

Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based Convolutional Neural ...