Create your own vision alerting system with IoT Edge, Azure Custom Vision and a Jetson Nano
In this article I will guide you through the steps needed to create your own object alerting system running on an edge device.
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Thoughts and how-tos on Azure, AI, DevOps, and community building.
Deep dive into the Face API - Ignite 2019
In this session you will learn every detail about the Face API an API that can detect and describe faces found in images, but also can be used for face identification.
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Create your first model with Azure Custom Vision and Python
In this article I want to share with you how you can create a classification model using the Azure Custom Vision service with the Python SDK.
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Create a simpsons classifier with Azure Machine learning Service
In this blogpost I want to dive into how you can create a Simpson Classification model from scratch using Azure Machine Learning service.
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Custom Vision on the Raspberry Pi (ONNX & Windows IoT)
Custom vision in the cloud that can be consumed through an API is available now for quite some time, but did you know that you can also export the models you create in the Cloud and run them localy on your desktop or even on a small device like a the Raspberry Pi?
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Serverless AI with Custom Vision & Azure Functions
After using the Microsoft Custom Vision API for some time now it was time to explore the possibilities a bit more. I decided to find out if it was possible to run a exported model from the Custom Vision Service in an Azure Function and create Serverless AI
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Create an Intelligent Chatbot for Cortana
Voice interfaces are the new thing around and also Microsoft has brought us Cortana. I have a harman/kardon speaker with Cortana on my desk for quite sometime now and wanted to see how I can create something for this device
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Object detection with Microsoft Custom Vision
Last year Custom Vision was released to classify your own objects on images. Yesterday at Build 2018 a new Project Type was added to enable Object Detection in images. In this blog we are going to take a closer look and see what this new feature can do.
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Microsoft Machine Learning Studio 101 - A used car price predictor
I have been playing around with Microsoft Cognitive services for some time now, seeing what they are capable of and how easy it is to use them in your applications is stunning. But what is underneath these API's, how can I train my own model and make it available through an API?
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Speech to Text in an Azure Function
Sometimes it is just easier to record some information instead of typing it. Recordings are great, you can just sit back and listen to them, but sometimes you just want to scan over the text or maybe your environment is not the best for listening to audio. I recently had a case like that and I made an Azure Function that can process spoken text into written text and store this output in an Azure Table.
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Beta testing Tendocare.ai in Uganda
In the beginning of February we went as a team to Uganda to beta-test the tendocare.ai platform. We joined the medical team into the field visiting some remote villages in Uganda and started using the app.
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Microsoft Speaker Recognition API
Gone are the days that only a password is enough protection for your accounts. But who can remember all the different passwords for all the different websites you login to. The time is there to rethink how authenticating can be more secure and a better user experience.
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#ChristmasEve sentiment analysis
In this blog we dive into how we can detect the sentiment for a Twitter Hastag. When writing this it is the day before Christmas eve and #ChristmasEve is a trending topic. Perfect to find out if twitter users are positive or negative about Christmas eve.
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The tech behind TendoCare.ai
I explained why and in what way I'm building TendoCare. Now lets dive into the technology choices I'm making. A small side note; from this stage anything is still possible yet, but I think it is always good to have a global plan!
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Introducing TendoCare.ai
TendoCare.ai is a platform that enables medical workers to be more effective in the field. The platform is powered with AI and redefines the way how we do medical outreach.
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Infuse Some AI Into Umbraco
With the rise of AI and explosion in intelligence services the need to jump on this track is more relevant than ever. With the computing power of Azure Cloud, Artificial Intelligence is at our fingertips and waiting to be implemented in Umbraco.
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Data science talks not to be missed at Ignite 2017
This year I will be joining Ignite 2017 in Orlando. I'm very excited and hope to meet a lot of people and get a boost of inspiration and knowledge. The main reason I'm going is to find out what is new in the world of AI. The aim is to get information about Cognitive Service, Machine learning and bots
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Face API – Detection 101
In this post we dive into the Face API, part of the Microsoft Cognitive services landscape. We will go through the most basic setup and create a simple Azure function.
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Getting started with gestures and Project Prague
Microsoft recently opened up a new group of cognitive services that are still in the experimental stage. A great opportunity to get a look in the kitchen and see what Microsoft is up to and gain some experience with these…
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Recognizing things with the Custom Vision Service
At Build 2017 Microsoft demonstrated the Custom Vision Service. This extremely cool service enables you to identify your own objects and things in images. It is easy, just upload a set of 6 to 12 images, hit the train button…
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Cognitive Services @ Code & Comedy Ordina
Code and Comedy is Ordina's yearly event. Mixing technical talks and standup comedy make this a event one of kind. During the event I gave a small breakout session about the power of the Microsoft Cognitive Services. Slides Code A…
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