Stay on top of topics in research, engineering and product development
1: Meet and collaborate with like-minded people
2: Document your knowledge and share it with the world
3: Become unstoppable
Get guidance from discussion group leads and senior industry practitioners, on various topics of your discussion group.
Learn and build collaboratively with peers. Connect with like-minded individuals in our 10,000+ community of data scientists and ML engineers.
Attract more opportunities by strengthening and diversifying your portfolio by documenting and sharing your knowledge with the world.
All groups connect through Slack on a weekly schedule for discussion sessions. There are 5-week milestones each week culminating with a “mega meetup” where all groups meet to discuss their most interesting topics and network!
Note: all sessions will be held over Meet/ Zoom. Calendar invites with links will be sent after you sign up.
“Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence” by Kate Crawford (published April 2021)
Why join this group?
Om holds a Computer Science PhD and 5 years of industry experience in applied AI/ML. In his current role as a Tech Lead at Amazon Web Services Canada, he delivers cloud data analytics & AI/ML infrastructure projects for Canadian AWS customers. He is passionate about emerging technologies, and how they are modernizing large-scale, traditional industries such as supply chain, which is ripe for innovation.
Candice is a Sr Product Owner who has been focused on eCommerce, but is now transitioning into the Supply Chain space. She has a background in design, and a keen interest in the social and environmental implications of AI/ML
Users in this group will obtain deep knowledge of advancements in AI/ML and emerging technologies as they relate to supply chain optimization. With the rise in amounts of data collected from traditional supply chains, the availability of modern data platforms, and new technologies such as blockchain to track-and-trace items throughout a chain, there are large opportunities for modernization, business innovation, and new digital experiences.
Why join this group?
Serena is a senior data scientist at Delphia. As part of the asset management team, she is responsible for developing machine learning models which are incorporated into the team’s systematic quantitative investment strategy.
Sina is a data scientist at Periculum.io, where he focuses on credit assessment using alternative and financial data.
Through this study group, users will develop their knowledge in using machine learning in financial markets. They can expect to study a range of papers from the quantitative finance field, applications to financial markets using machine learning, time series prediction, and portfolio construction methods.
Andre: I am an expert in climate science and impacts (PhD...), I am well read in sustainability and other fields of environmental science and I follow the literature on AI/ML in these subjects. For example I'm on the program committee of the annual Climate Informatics Workshop and have also contributed to it. In my day-job I also work in environmental modeling and use some simpler ML and lots of statistics in that context.
Meeting Time: Sundays at 12pm ET
The ai.science Blockchain discussion group will focus on current business applications for blockchain technology, fostering an information packed hour of diverse business owners and leaders, deep dives into use cases and connection building between participants.
This group is for technical engineers who want to know how blockchain can be applied to business problems and non-technical entrepreneurs building (or considering building) businesses using blockchain technology.
Stuart - I’ve been following blockchain technology since 2009 and developing AI enabled software for health, tech and fintech companies for over fifteen years.
Noah - I’ve been exploring blockchain and startups since 2015 at Techstars and StartupWeekend, co-founder of Art + Blockchain, content strategy and Consensys
Potential Guest Speakers: TBD
What do existing members say? n/a
We are very welcoming and inclusive! As long as you bring lots of enthusiasm, a thirst for learning, and contribute to the community, we’re all good!
While having a basic knowledge of the topic of your group can be very helpful, it is not strictly required as long as you're actively learning and improving. At some point during the 5 weeks you and the group lead will agree on a topic you will present, so if you're starting from a more entry level, you have to work a bit harder to get ready for it.
We generally don't prefer that. We would like anybody who joins the groups does so with the intention of participating. Every 5 weeks you can join the "mega meetups" and be an observer there, but for weekly touchpoints the expectation is that you participate as much as you can.
Well, you're at the right place; we got you covered!!! You can join our community slack workspace, just hang out there and use all our free content until you're ready. Post any questions you have in #community-questions (or DM Amir Feizpour).
Set yourself apart as a leading expert and gain personal brand exposure
Organize and formalize your own knowledge of the topic
Build a community of like-minded people centered around your take on the topic
Our target audience are folks in any stage in their career. Mostly technical leaders & developers, though we keep discussion groups (DGs) open to all. Average years of experience will depend on the topic and the cohort. We recommend you get a sense of who is in your group when you start.
Their desired outcomes are typically having a structured way to stay abreast of the topic, as well as connecting with like-minded people. You can think of it as a micro-community.
In short it is intellectual and logistical leadership of the group (and eventually the micro-community you are building). Your role is to set the tone about what kind of topics should be covered, and how. The majority of the research and documentation should be done by your group members but you're there to ensure they research and document the right things and generally explore the right directions.
No and No!
Our discussion groups attract people who are, generally speaking, aware of the topics and proactive in learning and improving themselves in them. Most of the activities in the groups happen on a rotation where members form small teams, learn particular topics, and present to others. Your role as the lead is not so much as preparing material and teaching but more about facilitating the discussions and ensuring they happen with high quality.
You can check out the Discussion Groups Schedule page and join any of the groups you want. Feel free to reach out to the group leads and ask for their input. DG leads are a bunch of awesome and welcoming people!
Get exposure for your work (session can be recorded and published on our YouTube channel: 14,000+ subscribers)
Find potential collaborators, hires, friends, … whatever you’re looking for
Directly interact with our global community of ML researchers and practitioners, and get inspired for your future work
Generally speaking anybody can request to speak in a discussion group. However, we review your request and ensure that what you present adds value to our community members, and can also add value to you. If it's not the right fit we try to introduce you to other communities.
Generally speaking if we have a discussion group on the topic, we are most likely good to go. See Topics section above. If we don't have a discussion group on the topic of your interest, we can still post on our slack channel and if there's enough interest we can set it up. Long story short, tell us what you're thinking and we'll do our best to make it work.
Nope! This is a free community activity.
You will provide some high level info when you request to do one of these sessions. We use that info to qualify that we can deliver value to you, and if we think we can, we would invite you to join one of our upcoming sessions. You are expected to spend about 20 mins presenting, and leave around 30-40 minutes for discussions.