What we're about

We’re excited to bring you the latest and practical technology on AI, Machine Learning, Deep Learning, Data Science and Big Data.

Due to the Covid-19, we have moved all our meetup events online: https://www.aicamp.ai/event/events

Our goal is to congregate with AI enthusiasts from all over Toronto to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

Thank you

Kelvin, Community Manager

===Tentative Agenda =====

5:30pm - 5:50pm, Snack & social

5:50pm - 6:00pm, Intro/announcement

6:00pm - 7:00pm, Tech Talk 1 and Q&A

7:00pm - 8:00pm, Tech Talk 2 and Q&A

8:00pm - 8:30pm, Lucky draw & Mingle

*AI online learning/practicing platform:


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*50+ Local AI developers communities around world:


Upcoming events (2)

Building and Scaling Robust Zero-code IoT Streaming Data Pipelines

This is online tech talk event, register on the website to receive join link:

With the rapid onset of the global Covid-19 Pandemic in 2020 the USA Centers for Disease Control and Prevention (CDC) quickly implemented a new Covid-19 pipeline to collect testing data from all of the USA’s states and territories, and produce multiple consumable results for federal and public agencies. They did this in under 30 days, using Apache Kafka.
Inspired by this story, we built two demonstration streaming pipelines for ingesting, storing, and visualizing public IoT data (Tidal data from NOAA, the National Oceanic and Atmospheric Administration) using multiple open source technologies. The common ingestion technologies were Apache Kafka, Apache Kafka Connect, and Apache Camel Kafka Connector, supplemented with Prometheus and Grafana for monitoring. The initial experiment used Open Distro for Elasticsearch and Kibana as the target storage and visualisation technologies, while the second experiment used PostgreSQL and Apache Superset.

In this talk we introduce each technology and the pipeline architecture, and walk through the steps followed, challenges encountered, and solutions used to build reliable and scalable pipelines, and visualize the results (including Tidal periods, ranges and locations). We compare and contrast the two approaches, focussing on exception handling, scalability, performance and monitoring, and the pros and cons of the two visualization technologies (Kibana and Superset).

Hands-on Workshop for Computer Vision and Object Detection

This is online workshop on zoom, please register here to receive joining link: https://www.aicamp.ai/event/eventdetails/W2021102718

Join this hands-on workshop to get started with computer vision and object detection. Build your own object detection model from start to finish. Includes step-by-step instructions on data annotation and model training with your own dataset.
Object classification and localization within an image is foundational to many computer vision applications.

In this workshop, we'll cover:
* High level computer vision applications & concepts
* How to label your own dataset for object detection & computer vision
* How to train your model using a Faster R-CNN in python & detectron2 (A PyTorch based modular object detection library)
* Run the model for object detection on images & video

What you’ll need:
* A modern web browser
* A Google account for Colab.

Who should attend:
Anyone interested in computer vision! This workshop is designed to be approachable for most skill levels. Knowing some python programming will help, but it's not required. We encourage anyone who is curious to attend and ask questions!

Past events (227)

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