What is Probabilistic Computing?
Probabilistic computing is a new type of computing that can be used for AI. It uses the physics of the world to compute and predict. This is done mutch faster and in a much less energy consumption way. A field that focuses on building systems that can handle and reason with uncertainty. Leverages probabilistic algorithms, models, and methods. Aims to make computers understand and reason about the world with uncertainty, just like humans do. Why is it Important? Real-world complexity: Most real-world problems are inherently uncertain and incomplete. Human-like reasoning: Probabilistic computing allows computers to mimic human-like reasoning in the face of uncertainty. Better decision-making: By quantifying uncertainty, computers can make more informed and robust decisions. Key Concepts and Techniques Probabilistic Models: Bayesian Networks: Represent relationships between variables and their probabilities. Bayesian Network Markov Models: Model sequences of events and thei...