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Upcoming events (2)
John Lindsay was a finalist at the SAE Connected Vehicle Challenge for developing a prototype Android application that uses the OpenCV SDK, along with a companion Bluetooth connected component, that seeks to decrease collision risk. John will present development aspects of the project including: - OpenCV on Android - Constraints and advantages in the mobile environment - Benchmarks, algorithms, and trade-offs - Bluetooth device - Connectivity - An enclosure About the presenter John Lindsay is an Android application developer who has seen one too many crashes.
The Global AI Night is a free evening event organized by local communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure. The event takes place on the Tuesday 2nd of April on venues all over the world centrally organized by our HQ in the Netherlands, supported by Microsoft. The event is the perfect balance between quality content, awesome lectures, getting your hands dirty and learn & share with other community members. Dive in and learn how to implement intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit. During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications. Bring your laptop, we will work on some workshops. Global AI Night Beginner Track Get started quickly with AI with low to no code Creating applications that can see, hear, speak or understand - using Microsoft Cognitive Services (2 hour) In this workshop you will be introduced to the Microsoft Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that are accessed by REST. Then look at how you can host these models in containers, giving you the ability to run Cognitive Services offline and on edge devices. Finally we will dive into more Custom AI that uses transfer learning, allowing you to provide a small amount of your own data to train an image classification model. Wrapping the workshop up by building our custom trained AI into an application - using Logic Apps and Power Apps, tools that are ideal for proof of concepts within machine learning Global AI Night Intermediate Track Build, train and deploy your own machine learning and deep learning models Part 1: Build models quickly with automated machine learning (1 hour) Intelligent experiences powered by AI can seem like magic to users. Developing them, however, is cumbersome involving a series of sequential and interconnected decisions along the way that are very time consuming. Algorithm selection, hyper-parameter tuning, feature engineering... so many choices. What if there was an automated service that identifies the best machine learning pipelines for a given problem and dataset? The automated ML capability in Azure Machine Learning service does exactly that. By the end of the workshop you will create a model using automated ML and deploy it. Part 2: Crash course on building and accelerating deep learning solutions (1 hour) Learn the end to end process of building deep learning solutions from experimentation to deployment. We will start by experimenting locally with different model architectures and hyperparameters using PyTorch. Then, we’ll show you how to use Azure Machine Learning service to train models at massive scale in the cloud and seamlessly deploy them into production.