Inside Microsoft Ignite: How Microsoft and NVIDIA are redefining the AI stack

As the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver ...
GitHub

Deploy Machine Learning Models on Azure IoT Edge

This repository contains examples and best practices for deploying machine learning (ML) models on Azure IoT Edge, provided as Jupyter notebooks. This topic leverages Artificial Intelligence (AI), ...

The 3 Deep Learning Stocks That Could Be Worth 50% More by 2027

Speaking of Alphabet, it would definitely be possible for both Microsoft and Alphabet to appreciate 50% in 2026. While Alphabet has had the best year of the " Magnificent Seven " stocks, up 62% on the ...
IEEE

Innovating Extraction: AI and Machine Learning for Enhanced Drilling and Production in Oil and Gas Industry using Microsoft Azure

Abstract: This comprehensive paper explores the transformative impact of integrating Machine Learning (ML) and Artificial Intelligence (AI) into oil and gas drilling operations. The paradigm shift is ...

2025's Top Machine Learning Platforms for Advancing AI Strategy Identified Through User Feedback by Info-Tech Research Group

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...
Microsoft

A Human-Centered Agenda for Intelligible Machine Learning

To build machine learning systems that are reliable, trustworthy, and fair, we must be able to provide relevant stakeholders with an understanding of how these systems work. Yet what makes a system ...
IEEE

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Abstract: In the rapidly expanding domain of cloud computing, a variety of software services have been deployed in the cloud. To ensure the reliability of cloud services, prior studies focus on the ...