Software 2.0 is a shift from manually coded rules to AI-driven systems that learn autonomously from data.
Software 2.0 represents a transition from explicit rule-based coding to machine learning-driven systems.
Core principles of Software 2.0 include a shift from deterministic to probabilistic systems, learning from examples, and prediction with neural networks.
The role of GPUs in Software 2.0 includes accelerated training and inference, automating rule creation, and enabling flexibility and scalability.