Microsoft and NVIDIA extend video analytics to the intelligent edge
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.
Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs.
The future of food security and feeding an expanding global population depends upon our ability to increase food production globally—an estimated 70 percent by the year 2050, according to the Food and Agriculture Organization of the United Nations.
We are happy to announce that Microsoft and Intel are partnering to bring optimized deep learning frameworks to Azure. These optimizations are available in a new offering on the Azure marketplace called the Intel Optimized Data Science VM for Linux (Ubuntu).
Since our public preview announcement at Microsoft Ignite 2018, every month thousands of developers worldwide have leveraged the Azure SignalR Service bindings for Azure Functions to add real-time capabilities to their serverless applications.
APIs have become mundane. They have become the de facto standard for connecting apps, data, and services. In the larger picture, APIs are driving digital transformation in organizations.
When someone mentions the words “Internet of Things,” often the first picture that comes to mind is some sort of device with the Internet “built-in.
Organizations deploying IoT solutions often ask similar questions as they address security—What is the risk my organization takes on as we adopt IoT? How much security do we need for our scenario? Where should we invest for the biggest impact?
On the Azure IoT Central team, we are constantly talking with our customers to understand how we can continue to provide more value.
We recently announced Cognitive Services running in Docker containers with an initial set of containers ranging from Computer Vision, Face, Text Analytics, and Language Understanding.
We strive with every service to provide experiences that significantly improve the development experience. We’re always looking for common pain points that everybody building software in the cloud deals with. And once we find those pain points, we build best-of-class software to address the need.
TypeScript is becoming increasingly popular in the JavaScript community. Since Azure Functions runs Node.js, and TypeScript compiles to JavaScript, motivated users already could get TypeScript code up and running in Azure Functions.