Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.
This blog was co-authored by Marty Donovan.
The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities.
It has been said that Artificial Intelligence will define the next generation of software solutions. If you are even remotely involved with technology, you will almost certainly have heard the term with increasing regularity over the last few years.
Machine learning (ML) is causing quite the buzz at the moment, and it’s having a huge impact on healthcare. Payers, providers, and pharmaceutical companies are all seeing applicability in their spaces and are taking advantage of ML today.
Today, at Microsoft Build 2018, as we engage in conversations about digital transformation with over a million developers, customers and partners, I am pleased to share some of our latest and most exciting innovations in the Azure AI Platform.
Today at the Microsoft Build developer conference, we are announcing a partnership with Qualcomm, one of the largest mobile and IoT chipset manufacturers in the world…
Today Microsoft is announcing the support for PyTorch 1.0 in Azure Machine Learning Services and Data Science Virtual Machine. PyTorch 1.
Conversational systems are rapidly becoming a key component of solutions such as virtual assistants, customer care, and the Internet of Things.
It’s been an exciting few months! In September we introduced the Open Neural Network Exchange (ONNX) format we created with Facebook to increase interoperability and reduce friction for developing and deploying AI.
