OpenAI signed a $38 billion deal with Amazon Web Services, diversifying its cloud computing resources beyond Microsoft with access to hundreds of thousands of Nvidia GPUs through 2026. The seven-year ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Amazon Web Services has initiated Global Cross-Region inference of Anthropic Claude Sonnet 4 in Amazon Bedrock, which makes it possible to direct the AI inference request to several AWS regions ...

Architectural education worldwide faces significant challenges amid rapid social, environmental, and cultural change. While the world evolves, many classrooms remain tied to traditional models that ...

Abstract: A cloud-based infrastructure for an advanced Embedded System that can help detect the state of a vehicle driver from a sensor suite's input, and the subsequent pre-processing of data, along ...

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...

Welcome to the AWS Certified Machine Learning – Specialty (MLS-C01) Study Pack! This repository is your go-to resource for practice questions and answers designed to help you prepare for the AWS ...

Community driven content discussing all aspects of software development from DevOps to design patterns. This exam measures your ability to apply machine learning knowledge in the AWS environment. It ...

This dawning age of agentic AI requires a total rethink on how we build software. Current enterprise APIs were built for human use; the APIs of the future will be multi-model, native interfaces. “We ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...