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 ...
Business Insider

Backslash Security Raises $19M Series A to Secure Vibe Coding Boom in the Enterprise, Bolsters Board with Cybersecurity Industry Leader

TEL AVIV, Israel, Feb. 10, 2026 (GLOBE NEWSWIRE) -- Backslash Security, the vibe coding security company, today announced a $19 million Series A funding round led by KOMPAS VC, with participation from ...
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 ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...