Day: April 12, 2021

Azure Machine Learning

Run Azure Machine Learning Anywhere

Leveraging Kubernetes ​and Azure Arc to train ML Models ​across hybrid cloud. In this episode Seth talks with Saurya Das about this new Azure Machine Learning integration with Azure Arc – to enable Data Scientists to use existing kubernetes infrastructure on-premises or in multicloud to run machine learning. Learn more: Azure Machine Learning Blog – […]

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Power Apps

How to use Office Scripts in Excel & Power Automate

In this step-by-step tutorial, Kevin Stratvert shows you how you can use Office Scripts in Excel on the web to automate repetitive and mundane tasks. Additionally, learn how you can trigger you scripts automatically using Power Automate. With Power Automate, you can set a Teams message, an email, or other app to trigger your script.

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AI Hardware

GTC 2021 Keynote with NVIDIA CEO Jensen Huang

NVIDIA CEO Jensen Huang delivers the #GTC21 keynote, where he introduced a number of amazing breakthroughs.

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Nested IoT Edge Devices and Offline Dashboards

Azure IoT Edge devices can now be nested to securely collect data across networks organized in hierarchical layers. Industrial customers commonly use layered networks to isolate and secure their most critical assets, as recommended by the ISA-95 standard. With this new IoT Edge capability, customers can quickly overcome the challenges of collecting data from each […]

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Quantum Computing

Towards a Quantum Revolution

Marco Ghibaudi, VP of Engineering at Riverlane, explains some of the complex problems that can be solved using quantum computers, as well as what Riverlane is doing to help accelerate a quantum future.

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AI Research

Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization

Microsoft Research shares this amazing talk on  the optimization of many deep learning hyperparameters can be formulated as a bilevel optimization problem. While most black-box and gradient-based approaches require many independent training runs, we aim to adapt hyperparameters online as the network trains. The main challenge is to approximate the response Jacobian, which captures how […]

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