Worum es bei uns geht

AI Suisse is Switzerland's largest community with a focus on artificial intelligence. We're also the first Swiss ambassador of Andrew Ng's deeplearning.ai. We take care of the quality of the selected speakers, deep and insightful presentations at a conference level, extraordinary experience exchange and focus on community. In short: "We talk AI."

It's up to you now: Become part of something extraordinary!

Yours,

Steffen

Founder AI Suisse
steffen.konrath@ai-suisse.ch

Bevorstehende Events (3)

Before they gather dust: Reducing time-to-model

Online-Event

At our next Pie & AI Suisse event in October we want to know: How can we accelerate speed to gain Big Data insights? Big data is of little value unless organizations have the capability to quickly understand and act upon it. The speed at which this understanding is performed will be the key strategic differentiator to compete in today’s marketplace, however, this is being throttled by many factors. Organizations are, for the most part, taking too long to generate analytical models that accurately extract useful insight from available business data. In this meetup, we will learn how Visual Data Mining and Machine Learning can help to automate model development activity for data scientists and business analysts. It includes intelligent automation for many areas of the model development process that optimize repetitive tasks such as feature engineering, feature selection, model algorithm tuning, and model assessment. Sponsored by SAS +++ deeplearning.ai ++++++++++++++ This meetup is in collaboration with deeplearning.ai. Please fill out the Google form (https://forms.gle/ELXBmWqXnJcz13nX9) to complete registration if you are interested in receiving course promo codes/AI news from deeplearning.ai. https://deeplearning.ai

Targeting some: Object detection with object tracking and geofencing

At our next Pie & AI Suisse event in October we want to know: How object detection works if the area is restricted. In this session, we will demonstrate the edge deployment of an object detection model with the use of object tracking and geofencing. We will showcase images arriving from a webcam, detected objects are scored in real-time, tracked with unique ID and monitored to see if they enter a specific geofenced area on the screen. Such a virtual fence can be dynamically defined by the user. We will discuss how this demo is applicable to different customer use cases. Sponsored by SAS +++ deeplearning.ai ++++++++++++++ This meetup is in collaboration with deeplearning.ai. Please fill out the Google form (https://forms.gle/ELXBmWqXnJcz13nX9) to complete registration if you are interested in receiving course promo codes/AI news from deeplearning.ai. https://deeplearning.ai

Project InnerEye: Towards the democratizing of AI for medical image analysis

In this Pie & AI Suisse event in November, we learn more about the open-source InnerEye Deep Learning Toolkit from Microsoft Research Cambridge InnerEye is a research project, that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images. The goal of Project InnerEye is to democratize AI for medical image analysis and empower researchers, hospitals, life science organizations, and healthcare providers to build medical imaging AI models. The project builds upon many years of research in computer vision and machine learning. It employs algorithms such as the latest Convolutional Neural Networks for the automatic, voxel-wise segmentation of medical images. Speaker: Tania Allard, Ph.D. The InnerEye Deep Learning Toolkit is available as open-source software on GitHub. Check the code here: https://github.com/microsoft/InnerEye-DeepLearning Sponsored by Microsoft Learn more about our Code of Conduct: https://github.com/microsoft/virtual-events/blob/main/virtual-event-code-of-conduct.md +++ deeplearning.ai ++++++++++++++ This meetup is in collaboration with deeplearning.ai. Please fill out the Google form (https://forms.gle/ELXBmWqXnJcz13nX9) to complete registration if you are interested in receiving course promo codes/AI news from deeplearning.ai. https://deeplearning.ai

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