IIT Delhi Opens Admissions for Third Batch of Certificate Programme in Applied Data Science & Artificial Intelligence

A 24-week live online programme that builds applied AI capability, from core analytics to production deployment, with a ...
PCMag

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...
InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
IEEE

Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
GitHub

Neo4j Graph Data Science Client

graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...
GitHub

tsod: Anomaly Detection for time series data.

Sensors often provide faulty or missing observations. These anomalies must be detected automatically and replaced with more feasible values before feeding the data to numerical simulation engines as ...
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 ...