What we're about

"Learn by Practicing". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Dublin to learn and practice AI tech, through tech talks, workshops, code labs, hackathons, tech conferences, etc.. we regularly invite tech leads from innovated companies, successful startups to share latest in AI, practical experiences and best practices. We also invite speakers from all of the world to speak in-person or online and learn AI together with developers from all over the world

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

Kevin

===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, Mingle

Upcoming events (2)

AI webinar: Auto Data Visualization and Machine Learning, by Google Engineer

This is online live tech talk. You can join online using zoom (video conference tool), and watch, follow, Q&A with speakers from anywhere around the world. Miss the live session due to time zone or conflict? you can learn watch recording any time afterwards. AI webinar: Auto Data Visualization and Machine Learning, by Google Engineer Start date/time: 3rd April, 10am-11am PT (US pacific time, UTC-7), check your local time. Registration: https://learn.xnextcon.com/event/eventdetails/W20040310 (you must register at the website to receive the unique link to join the webinar). Details: Data Scientists today grapple with two problems: 1. Big Data 2. Bewildering Choice. Big Data enables data scientists to analyze more of what is available, but they cannot visualize it or explain it so easily. In addition, there is a bewildering array of tools available which means substantial work with steep learning curves to master each one of them. The solution is automation: automate what is mundane so we can focus on the most important. Here I will describe what is available in terms of Open Source and Proprietary tools for automating Data Science tasks and introduce 2 new tools: one to visualize any sized data set with one click, another: to try multiple ML models and techniques with a single call. I will provide the Github Repos for both for free in the talk. RSVP: https://learn.xnextcon.com/event/eventdetails/W20040310 after register to this webinar, you will receive an unique link to join online.

AI Webinar: Deep Learning on Mobile Device

Online event

This is online live tech talk. You can join online using zoom (video conference tool), and watch, follow, Q&A with speakers from anywhere around the world. Miss the live session due to time zone or conflict? you can learn watch recording any time afterwards. AI webinar: Deep Learning on Mobile Device Start date/time: 6th April, 10am-11am PT (US pacific time, UTC-7), check your local time. Registration: https://learn.xnextcon.com/event/eventdetails/W20040610 (you must register at the website to receive the unique link to join the webinar). Details: Over the last few years, convolutional neural networks (CNN) have risen in popularity, especially in the area of computer vision. Many mobile applications running on smartphones and wearable devices would potentially benefit from the new opportunities enabled by deep learning techniques. However, CNNs are by nature computationally and memory intensive, making them challenging to deploy on a mobile device. This talk explains how to practically bring the power of convolutional neural networks and deep learning to memory and power-constrained devices like smartphones. You will learn various strategies to circumvent obstacles and build mobile-friendly shallow CNN architectures that significantly reduce the memory footprint and therefore make them easier to store on a smartphone; The talk also dives into how to use a family of model compression techniques to prune the network size for live image processing, enabling you to build a CNN version optimized for inference on mobile devices. Along the way, you will learn practical strategies to preprocess your data in a manner that makes the models more efficient in the real world. RSVP: https://learn.xnextcon.com/event/eventdetails/W20040610 after register to this webinar, you will receive an unique link to join online.

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