featured story

Back to Basic: Between Neural Network and Deep Neural Network

Neural networks (NNs) tend to be for simpler tasks, limited computing resources, or when interpretability is critical. Deep neural networks (DNNs) excel at performing complex tasks, leveraging large datasets, achieving state-of-the-art performance, and learning hierarchical representations of data.

Read post
Pixabay - Human Brain

featured story

Back to Basic: Every Detail About Artificial Intelligence Subsets

AI has subsets as follows. ML for data-driven predictions, DL for complex pattern analysis, NLP for language understanding, CV for image processing, and RL for decision-making through rewards. Artificial intelligence revolutionizes industries, enhancing efficiency, innovation, and decision-making.

Read post
Pixabay Artificial Intelligence

featured story

Back to Basic: What Is Face Biometrics and How Does It Work?

Facial recognition technology presents a complex blend of benefits and challenges. While it offers enhanced security and convenience, it also poses significant ethical and privacy issues. As the technology continues to evolve, it will be crucial to develop frameworks that ensure its responsible use.

Read post
Pixabay - Face Biometrics