The Translator Cognitive Service has gotten new feature that are sure to delight and excite developers
With this new feature, developers can intelligently translate documents (supporting a variety of file types) in batch.
Learn about the latest research breakthrough in Image captioning and latest updates in Azure Computer Vision 3.0 API.
Learn about the recently launched Opinion Mining and Async offerings of Text Analytics.
From the video description:
In the first half, we will discuss how Opinion Mining (an extension of Sentiment Analysis) helps explore customers’ perception of aspects/opinions, such as specific attributes of products or services, in text. In the second half, we will learn about the new Async capabilities of Text Analytics, which will allow bundling various skills of Text Analytics and also allows large amount of text of up to 125K characters to be sent to Text Analytics via /analyze endpoint.
Text Analytics for health is a preview feature of Text Analytics which enables developers to process and extract insights from unstructured clinical and biomedical text.
Through a single API call, using NLP techniques such as named entity recognition, entity linking, relation extraction and entity negation, Text Analytics can extract critical and relevant medical information without the need for time-intensive, manual development of custom models.
Rafal Lukawiecki has been actively working in data science, machine learning, and data mining for well over a decade, and he has formally studied and used artificial intelligence long before it was popular, back in the great AI Winter.
Watch this episode to find out how he organizes his reproducible workflow.
Dictation in productivity apps such as Word empower people to conquer the blank page.
Dictating is a fast and easy way to get your thoughts on the page during brainstorming, outlining, and authoring content. Office voice commanding is the next step to make dictation more powerful.
Using AI powered by Microsoft Cognitive Services, Microsoft 365 users save time and effort with transcription and voice commanding. Office voice commanding is powered by Microsoft Cognitive services, including Cognitive Speech Studio and Language Understanding Cognitive Service.
Learn More:
- More about voice commands on the Microsoft 365 Blog https://aka.ms/AIShow/DictateYourDocs
- Dictate your documents in Word Help Article https://aka.ms/AIShow/DictateYourDocs
- Language Understanding (LUIS) https://aka.ms/AIShow/LUIS
- Follow Nayer https://twitter.com/nwanas
- Follow Microsoft 365 https://twitter.com/Microsoft365
This episode of the AI show covers reinforcement learning – an AI approach that is especially promising for training naturally behaving game characters with nuanced reactions to human players.
Jump To:
[00:50] What is reinforcement learning
[02:26] Project Malmo – Minecraft as a platform for AI research
[05:00] Project Paidia: towards RL agents that learn to collaborate with human players
[09:00] Project Paidia demo
[11:00] Call to action -AI Innovation page (Project Paidia) + Azure ML notebooks
Learn More:
- Project Paidia deep dive page https://aka.ms/AIShow/ProjectPaidia
- Azure notebooks – try this today https://aka.ms/AIShow/AzureNotebooks
- Game Intelligence research https://aka.ms/AIShow/GameIntelligence
- Follow Seth https://twitter.com/katjahofmann
In this video, you will see what Automated Machine Learning is and how you can use it to solve machine learning problems. We also go through a demo to solve a banking problem starting from a dataset to deploying models to production, all without a single line of code.
Computer Vision is an Azure Cognitive Service which runs vision AI on images, and is a new feature of the Computer Vision service. It runs Vision AI on live and recorded video streams to understand people’s movement in physical spaces.
Learn More:
Join Seth Juarez as he delves into ethical concerns with AI with Josh Lovejoy, who leads Design for Microsoft Ethics & Society within Cloud + AI, and Sarah Bird, who leads Responsible AI for Cognitive Services.
This video explores how to think about Ethical AI and how to ensure the software you build is designed, developed and deployed ethically. Josh and Sarah describe how Ethics & Society works closely with product teams to make human-centered AI / ML technologies that serve people by appreciating the constraints and measuring accuracy and inaccuracy throughout the product development lifecycle.
Learn More:
- Responsible AI Resources https://aka.ms/AIShow/ResponsibleAI
- Responsible Innovation https://aka.ms/AIShow/NextWaveOfDesign
- Responsible Innovation: A Best Practices Toolkit https://aka.ms/AIShow/ResponsibleInnovation
- Microsoft Responsible Machine Learning https://aka.ms/AIShow/ResponsibleML
- Follow Sarah and Josh