Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset....
Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works. Creating artificial intelligence agents that can learn to compete and...
The progress of AI has been astounding with solutions pushing the envelope by augmenting human understanding, preferences, intent, and even spoken language. AI is improving our knowledge and understanding by helping us provide faster, more insightful solutions...
This year at Microsoft Ignite we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences. The global...
Neurodegenerative diseases — like amyotrophic lateral sclerosis (ALS, or Lou Gehrig's disease), Alzheimer’s, and Parkinson’s — are complicated, chronic ailments that can present with a variety of symptoms, worsen at different rates, and have many underlying...
Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC),...
The first step in choosing the appropriate treatment for a cancer patient is to identify their specific type of cancer, including determining the primary site — the organ or part of the body where the cancer begins. In rare cases, the origin of a cancer cannot...
Gartner has recognized Microsoft as a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud AI Developer Services, with Microsoft placed furthest in “Completeness of Vision”. Gartner defines the market as “cloud-hosted or containerized services that enable...
This blog post has been co-authored by Kapil Raval, Principal Program Manager, Microsoft. Bluware, which develops cloud-native solutions to help oil and gas operators to increase exploration and production workflow productivity through deep learning by...
This blog was written in collaboration with the DeepSpeed team, the Azure ML team, and the Azure HPC team at Microsoft. Large-scale transformer-based deep learning models trained on large amounts of data have shown great results in recent years in several...
The growing adoption of data-driven and machine learning–based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities. Cybersecurity is the biggest risk for AI developers and...
The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. Here are some tests to check the scalability of your model. System testing System tests are carried out to test the robustness of the design of...
