Extended Bayesian Models | [Book] The Grand Unified Theory of the Brain: What is the Free Energy Principle

Among the books in my 'to-read' pile that I don't remember when I added, there was a book called 'The Grand Unified Theory of ...

Climate Change Scholarship Opportunities in UK for Pakistani Students

Pakistani students can apply for two fully-funded PhD studentships at University College London (UCL) under the NERC-funded ...

4 Machine Learning Books for the PyTorch Era

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...
group

NTT's 14 papers accepted for Interspeech2026, the world's largest international conference on spoken language processing

NTT Laboratories have been accepted at Interspeech2026 (the 27th edition of the Interspeech Conference), to be held in Sydney ...
PNAS

Identifiability of Bayesian models of perception

Bayesian models represent an important class of models in cognitive science and neuroscience. The model components (prior, likelihood function, loss function) play important roles in understanding ...
GitHub

Simple Maximum Likelihood Tree Inference Tutorial

This tutorial is designed for researchers or students who want to infer a single gene tree using robust methods. This tutorial is not designed to teach phylogenetic theory or background information ...
GitHub

hdbayes tutorial

This repository contains the code, saved intermediate outputs, figures, vignettes, and reports used for the manuscript From priors to performance: enhancing statistical efficiency with Bayesian ...
marktechpost

Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference

In this tutorial, we implement NVIDIA cuML as a GPU-accelerated machine learning framework and build a practical workflow that demonstrates how RAPIDS can accelerate familiar data science and machine ...