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

Understanding is often defined as the ability to form mental models of the world, reason about cause and effect, and predict outcomes. Human understanding is deeply rooted in intuition and causality, ...

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 ...

have attracted significant attention owing to their high energy-efficiency. Bayesian inference is widely used for decision making based on independent (often conflicting) sources of ...

Bayesian reasoning is a statistical method that helps individuals make inferences and decisions based on probabilities. It is particularly useful in situations where uncertainty is present ...

The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three ...

The rapid rise of edge AI, where models run locally on devices instead of relying on cloud data centers, improves speed, privacy, and cost-efficiency.

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

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 ...

Per Luria, Blaize presents a compelling opportunity within the emerging AI inference market due to its strong technology platform, expanding use cases, and large addressable market. Blaize’s solutions ...

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 ...

Learn More Inference-time scaling is one of the big themes of artificial intelligence in 2025, and AI labs are attacking it from different angles. In its latest research paper, Google DeepMind ...