Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range. There are three essential tests to ensure that the machine learning system is robust in the production environments:...
Welcome to Azure Hybrid, Multicloud, and Edge Day—please join us for the digital event. Today, we’re sharing how Azure Arc extends Azure platform capabilities to datacenters, edge, and multicloud environments through an impactful, 90-minute lineup of keynotes,...
Testing is an important exercise in the life cycle of developing a machine learning system to ensure high-quality operations. We use tests to confirm that something functions as it should. Once tests are created, we can run them automatically whenever we make a...
From their early days at MIT, and even before, Emma Liu '22, MNG '22, Yo-whan “John” Kim '22, MNG '22, and Clemente Ocejo '21, MNG '22 knew they wanted to perform computational research and explore artificial intelligence and machine learning. “Since high...
AI is revolutionizing the world we live in—from the way we entertain ourselves, to the products and services that we consume, to the way we care for our bodies, and how we go about our daily work. Organizations are leveraging the power of AI to transform our...
Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Azure Cognitive Services, and Azure Machine Learning to...
We are moving to a world where every application needs to be intelligent and adaptive to real-time model learning. As businesses build modern data capabilities, they must make decisions at the speed of human thought. Developers are challenged by this, given the...
This blog post is co-authored by David Stein, Senior Staff Software Engineer, Jinghui Mo, Staff Software Engineer, and Hangfei Lin, Staff Software Engineer, all from Feathr team. Feature store motivation With the advance of AI and machine learning, companies...
In machine learning, understanding why a model makes certain decisions is often just as important as whether those decisions are correct. For instance, a machine-learning model might correctly predict that a skin lesion is cancerous, but it could have done so...
Which companies deploy machine intelligence (MI) and data analytics successfully for manufacturing and operations? Why are those leading adopters so far ahead — and what can others learn from them? MIT Machine Intelligence for Manufacturing and Operations...
2021 was another exciting year for Arm NN and Arm Compute Library (ACL), jam-packed with usability improvements and enhanced machine learning (ML) performance for Arm IP. As the Arm NN team do every year, we added more operator support for the Arm NN Android...
In the 1960s, the advent of computer-aided design (CAD) sparked a revolution in design. For his PhD thesis in 1963, MIT Professor Ivan Sutherland developed Sketchpad, a game-changing software program that enabled users to draw, move, and resize shapes on a...
