Accelerate and optimize machine learning models regardless of training framework using ONNX and ONNX Runtime. This episode introduces both ONNX and ONNX Runtime and provides an example of ONNX Runtime accelerating Bing Semantic Precise Image Search.

Learn more about ONNX:

Follow ONNX on Social Media:

In this interview on the Microsoft Research Podcast, Dr. Brian Broll gives us an overview of the work he did and the experience he had as a Microsoft AI Resident, talks about his passion for making complex concepts easier and more accessible to novices and young learners, and tells us how growing up on a dairy farm in rural Minnesota helped prepare him for a life in computer science solving some of the toughest problems in AI.

Here’s an interesting talk by Eunice Jun on a language she’s working on.

[Slides]

From the video description:

Current statistical tools place the burden of valid, reproducible statistical analyses on the user. Users must have deep knowledge of statistics to not only identify their research questions, hypotheses, and domain assumptions but also select valid statistical tests for their hypotheses. As quantitative data become increasingly available in all disciplines, data analysis will continue to become a common task for people who may not have statistical expertise. Tea, a high-level declarative language for automating statistical test selection and execution, abstracts the details of analyses from users, empowering them to perform valid analyses by expressing their goals and domain knowledge. In this talk, I will discuss the design and implementation of Tea, lessons learned through the process, and other ongoing work in this vein.

Saurya Das joins Scott Hanselman to show how multiple node pools for Azure Kubernetes Service (AKS) enable you to use different virtual machine sizes in a node pool supporting a variety of workloads in a single AKS cluster. For example, an e-commerce website can have a node pool for a billing service and another for a machine learning-based recommendation service, each with GPUs.     

Related links

Digitalization leads our world in a new are of technology.

Technology in Health-care is extremely important.

Fouad Al-Noor will teach you how to build a successful medical start up step by step: so that you don‘t have to fall in the Medtech Valley of Death.

Fouad has a masters in Electric Engineering with Nanotechnology from the University of Southampton. He worked as a research assistant at Imperial College London before joining Entrepreneur First.

He wrote his thesis on paper-based medical diagnostics using image processing.