Model-based approaches for image reconstruction, analysis, and interpretation have made significant progress over the past decades. Many of these approaches are based on either mathematical, physical, ...

Few conversations in technology have moved as quickly as the one around data privacy. Ten years ago, engineers spoke mainly about throughput; today they juggle acronyms—GDPR, CCPA, DMA—that ...

This end-to-end data engineering pipeline automates the extraction, masking, and loading of sensitive HR data into BigQuery, with orchestration via Airflow (Cloud Composer) and visualization in Looker ...

Software product engineering is undergoing a massive transformation, and Google Cloud Platform (GCP) is at the forefront. It’s not just about writing code anymore; it’s about building, deploying, and ...

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

It is a project build using ETL (Extract, Transform, Load) pipeline using Spotify API on AWS into snowflake datawarehouse. It utilizes AWS services such as Lambda, S3, and CloudWatch to orchestrate ...

The Indian Institute of Technology (IIT) Roorkee has announced the launch of India’s first Advanced Certification in AI Engineering and AIOps, in collaboration with Futurense. The nine-month programme ...

Convolutional Neural Networks (CNNs) trained on large scale RGB databases have become the secret sauce in the majority of recent approaches for object categorization from RGB-D data. Thanks to ...