The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

An interview with Karl Friston, a computational psychiatrist and an architect of an AI developed to emulate natural ...

Several automated software packages facilitate conducting NMA using either of two alternative approaches, Bayesian or frequentist frameworks. Researchers must choose a framework for conducting NMA ...

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics ...

Methods: We introduce a Bayesian inference method to fit epidemic models to time series data based on state-space modeling, employing a stochastic Susceptible-Exposed-Infectious-Removed (SEIR) model ...

Inspired by previous models of scene construction—that cast perception and action as consequences of approximate Bayesian inference—we use active inference to simulate decisions of agents categorizing ...

The term "flow" refers to this movement of data through the various stages of model training or inference. Graphs: One of the reasons for TensorFlow’s popularity is its graph-based architecture.

College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum, Qingdao 266580, China State Key Laboratory of Chemical Safety, Qingdao 266580, China Shandong ...

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

However, the focus is shifting toward optimizing the resources required for inference, which is when a pre-trained AI model makes predictions or decisions based on new, unseen data (rather than ...

The state-of-the-art expectation maximization based compressed sensing (EM-CS) methods, such as turbo compressed sensing (Turbo-CS) and turbo variational Bayesian inference (Turbo-VBI), have a ...