Bayesian networks in AI: Role in machine learning, example, types and applications
Bayesian networks are graphical models utilizing a Directed Acyclic Graph (DAG) to represent a group of random variables and their probabilistic relationships.
Deep learning: Models, enterprise applications, benefits, use cases, implementation and development
Deep learning relies on interconnected layers of artificial neurons, also known as nodes or units. These nodes are organized into input, hidden, and output layers.
Visual ChatGPT: The next frontier of conversational AI
AI-powered Visual ChatGPT employs deep learning and natural language processing to respond to user queries based on visual input, such as pictures or videos.
How is a Vision Transformer model (ViT) built and implemented?
Unlike Convolutional Neural Networks (CNNs), ViT uses self-attention processes to extract information from pictures, making it an excellent tool for image identification and segmentation.
Ways to Ensure Smart Contract Security
Smart contracts have been plagued by security incidents that have caused significant financial losses to smart contracts. Know how to protect smart contracts!
