GitHub

Python package to detect AKI within time series data.

The goal of this package is to establish well tested, comprehensive functions for the detection of Acute Kidney Injury (AKI) in time series data, according to the Kidney Disease Improving Global ...
GitHub

TimeAwarePC: A Python Package for Finding Causal Connectivity from Time Series Data

> install.packages("BiocManager") > BiocManager::install("graph") > BiocManager::install("RBGL") > install.packages("pcalg") > install.packages("https://cran.r ...
SiliconANGLE

Backslash Security lands $19M to tackle security risks emerging from vibe coding

Vibe coding security company Backslash Security Inc. revealed today that it has raised $19 million in new funding to expand its research and development talent and operations, deepen platform ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Business Wire

CodaMetrix Announces $40M Series B Financing to Advance Medical Coding Quality and Clinically Enrich Claims Data Through AI

BOSTON--(BUSINESS WIRE)--CodaMetrix, the leading artificial intelligence (AI) solution for transforming healthcare and revenue cycle management, today announced that it has closed its $40 million ...
IEEE

Time-series Forecasting Coding: A New Processing Method Developed from Predictive Coding for Recurrent Neural Networks

Abstract: Recently, recurrent neural networks (RNNs) and the free energy principle (FEP) have been attracting much attention. FEP includes the so-called predictive coding (PC), in which the RNN input ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...