On August 11, 2017, it was announced that OpenAI beat the world’s top professionals at 1v1 matches of Dota 2 tournament under standard rules. The bot’s Artificial Intelligence (AI) learned the game from scratch through self-play. This is a feat of achievement for AI as Elon Musk states this is “vastly more complex than traditional board games like chess & Go.” Shortly after it was announced that the AI bot won the tournament, Elon Musk also tweeted out his appreciation and thanks to Microsoft for using the Microsoft Azure cloud computing platform and it’s “massive processing power” to win the tournament. This is a really great example of how the massive computing power of Microsoft Azure can be used, in addition to yet another stepping stone in the path towards much more advanced Artificial Intelligence (AI). Read More
So far the servers within Microsoft Azure data centers have been running Intel processors (CPUs). For a long time I’ve wondered if the power efficiency of ARM CPUs could make them more cost effective than Intel x64 CPUs that are more powerful. It’s possible through the use of parallel computing that distributing load across many more ARM CPU cores that consumer lower power could be more cost effective than distributing the same load across fewer more powerful Intel CPUs. Since I first came up with the idea, I’ve assumed that ARM would be more cost effective, however, I haven’t seen anything to back it up. With recent news about Microsoft exploring Windows Server running on ARM, and ARM based cloud server, it looks like they’re dedicating some serious money to this very research effort.
ARM has already revolutionized mobile devices and Internet of Things (IoT). Could the next step for ARM CPUs be to revolutionize the Cloud and server market? Read More
The book “Microsoft Azure Essentials: Azure Machine Learning” written by Jeff Barnes, published by Microsoft Press, has been made available as a Free eBook over on the Microsoft Virtual Academy site. This book introduces developers to using Azure Machine Learning for building predictive analytics models and deploy them for consumption as web services.
Do you want to learn about Azure Machine Learning? This book provides a perfect place to start. Read More