Microsoft Azure

By Holger Schwichtenberg. 2020

Subfields: ML Systems & Hardware

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In ML Systems & Hardware

1. Justin Lipman
2. Noah A. Smith
3. Wei Ni
4. Mehran Abolhasan
5. Ren Ping Liu
6. Alexandra Sasha Luccioni
7. Imran Makhdoom

Citations in the corpus

• Measuring the Carbon Intensity of AI in Cloud Instances (2022, background): “…emissions of the compute regions themselves, with several server locations partially powered by renewable energy sources such as solar and wind [12, 29, 40] and giving users the necessary tools to pick compute regions with a smaller carbon footprint [13, 17], which are often tied to the amount of…”
• MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (2023, unknown): “AzureCognitiveServicesAPIs[9] forimagecaptioning, imagetagging,densecaptioning, ,receipts, etc 2.”
• Anatomy of Threats to the Internet of Things (2019, methodology): “IBM Blockchain [163], Microsoft Azure [164] and Hyperledger Fabric by Linux Foundation [165] are few examples of multi-purpose Blockchain platforms.”