What we're about

Join our Slack channel:
https://bit.ly/NYHAIS-Slack

Interested in AI? Join our group! This group is dedicated to the application of neuroscience, artificial intelligence, medicine, and computer science towards the further understanding and development of artificial intelligence. We also focus on developing the New York MedTech industry and fostering open source projects that support it. Contact the organizers about it.

The goal is to create a laid-back place where the spirit of the coffeehouse culture of the Enlightenment meets the modern hackerspace; where people from different disciplines who wouldn't normally meet can exchange ideas, experiment with hands-on systems, and have a good time.

We hope this can be the melting pot of neuroscientists, hackers, programmers, doctors, mathematicians, artists, lawyers, post docs in any science, bio-staticians, entrepreneurs, and the average person who is interested in learning about advances in artificial intelligence applications in healthcare (and adjacent data-intensive fields).

Join our Facebook group:
https://www.facebook.com/groups/NYHAIS

Join us on LinkedIn:
https://www.linkedin.com/company/nyhais/

Check out our new List of All NYC AI Healthcare Companies:
Feel free to add in your company or ones that you see fit!
https://docs.google.com/spreadsheets/d/1xjz... (https://docs.google.com/spreadsheets/d/1xjz3j2ypHGLS6cj6EDmMmGmecUqUgCRAi5d6PONN5p0/edit#gid=0)

Upcoming events (5+)

Hack nights -- Solving healthcare data-science/AI/ML problems

Healthcare AI/ML/data-science hack night. Aim: Build an end-to-end data-science/AI/ML application for a specific healthcare related problem. Targeted audience: General public interested in solving healthcare related data problems. Minimum requirements: Basic understanding of either R or Python 3 Interest in solving healthcare related problems Basic understanding of data-science, AI and ML Kaggle account Tickets: https://www.moad.computer/store/p35/healthcare_hacknights.html Tickets at the door: $35 per person in cash (please bring exact change). Important: RSVP on the Meetup page alone doesn't guarantee entry to the event. Please buy a valid ticket from the link above. This is a bring your own device event. Remember to bring your laptop or a tablet to work on the projects. To join remotely via Google Hangouts Meet: meet.google.com/wme-cwwp-ira Disclaimer: The goal of the event is not to diagnose any specific condition. That is the role of trained healthcare professionals. This event is aimed at educating how healthcare artificial intelligence works for the benefit of individuals interested in contributing to the healthcare technology ecosystem and a networking event for those individuals. Use the coupon code: Meetup_HackNight to get 75% discount. Only 5 coupons available. Coupon expires 24 hours before the event.

Hack nights -- Solving healthcare data-science/AI/ML problems

Healthcare AI/ML/data-science hack night. Aim: Build an end-to-end data-science/AI/ML application for a specific healthcare related problem. Targeted audience: General public interested in solving healthcare related data problems. Minimum requirements: Basic understanding of either R or Python 3 Interest in solving healthcare related problems Basic understanding of data-science, AI and ML Kaggle account Tickets: https://www.moad.computer/store/p35/healthcare_hacknights.html Tickets at the door: $35 per person in cash (please bring exact change). Important: RSVP on the Meetup page alone doesn't guarantee entry to the event. Please buy a valid ticket from the link above. This is a bring your own device event. Remember to bring your laptop or a tablet to work on the projects. To join remotely via Google Hangouts Meet: meet.google.com/wme-cwwp-ira Disclaimer: The goal of the event is not to diagnose any specific condition. That is the role of trained healthcare professionals. This event is aimed at educating how healthcare artificial intelligence works for the benefit of individuals interested in contributing to the healthcare technology ecosystem and a networking event for those individuals. Use the coupon code: Meetup_HackNight to get 75% discount. Only 5 coupons available. Coupon expires 24 hours before the event.

Deep Bayesian network -- Using Monte Carlo dropout estimations

Workshop on building a deep Bayesian networks using Monte Carlo dropout estimations. Aim: This is a hands-on workshop to understand deep Bayesian networks. During this workshop, a deep Bayesian network using Monte Carlo dropout estimations will be constructed using Tensorflow and Keras. Once the network is built, it will be trained on a machine vision problem and generate predictions along with model specific uncertainty metrics. Targeted audience: General public interested in understanding deep Bayesian networks. Minimum requirements: Basic understanding of either R or Python 3 Interest in building deep neural networks Basic understanding of data-science, AI and ML Kaggle account Important: This is a ticketed event. Tickets available here: https://www.moad.computer/store/p36/Healthcare_Analytics.html This is a bring your own device event. Remember to bring your laptop or a tablet to work on the projects. This is an introductory workshop on deep Bayesian networks. This course is part of the FutureReady boot-camp by Moad Computer. If you are interested in participating in the boot-camp, please fill-out this form: https://goo.gl/forms/TzClAtTqOLwHcudv1 To join remotely via Google Hangouts Meet: meet.google.com/wme-cwwp-ira Disclaimer: The goal of the event is not to diagnose any specific condition. That is the role of trained healthcare professionals. This event is aimed at educating how healthcare artificial intelligence works for the benefit of individuals interested in contributing to the healthcare technology ecosystem. This event also acts as a networking event for individuals interested in healthcare AI.

Founder Fridays: Start up Founders talks

Think Coffee

A forum where startup founders talk about strategies, markets, data markets, machine learning, user design, funding and all thing startups. Do you run a medtech startup or generate tons of data and don't know what to do with it? Come on by. More to come

Past events (284)

Founder Fridays: Start up Founders talks

Think Coffee

Photos (175)

Find us also at