A community for AI explorers
This group is for anyone interested in Artificial Intelligence and Machine Learning. It's a place to meet and engage with community members about latest advancements in the field of ML/Deep Learning: new frameworks, best practices for Natural Language Processing, Computer Vision and more. During our meetings we will host guests from the industry, read papers together and discuss how to improve AI workflows. Join us to learn, build and explore in the amazing world of AI!
Every Wednesday, 6:30PM at MERGE
In a scenario where the ratio of positive and negative examples are skewed, the usual error metrics such as accuracy may not perform well. This week we will talk about skewed datasets and possible solutions to the problem of distortion of symmetrical distribution in the data.
When might it be advantageous to use one over the other? If deep learning can work with both structured and unstructured data, why might we use decision trees?
This week we talk about AI use in autonomous driving. What is the extent of its current application? How effective is it? We will have a short video illustrating the challenges in programming automated vehicles.
This week we talk about the viral AI chatbot from OpenAI. We will discuss what it can and can't do through the lens of Machine Learning as well as broader implications in the workforce. We will also give it a whirl and see what programming questions it can handle.
As a rapidly growing area of Deep Learning, Edge AI is transforming the way IoT devices process sensor data. This week, we will talk about intelligent edge networks and what advantages and challenges they may bring.
Julia is a high-level, dynamically typed programming language that was designed for high performance. It is commonly used in scientific computing, machine learning and data science. We will have a live white board demonstration and hands-on practice. Following will be an open working time for more Julia practice or personal projects.
This week we will work on an application of natural language processing for voice command classification using PyTorch. We will be using the SpeechCommand dataset and the TorchAudio library. Project Notebooks will be available on the event discussion page after the meetup. General discussion and sharing of any project updates or questions to follow! For fun, we will share our favorite ML memes toward the end. As usual we will have hot tea and cookies! We keep it pretty low-key here and welcome all experience levels.
The discussion question for this week's meeting will be: When does bias enter the data?
Our source inspiration is the article: The Accuracy, Fairness, and Limits of Predicting Recidivism
Reading is not required, but can shed some light on the topic!
General discussion and sharing of any project updates or questions to follow!
For fun, we will share our favorite ML memes toward the end.
As usual, we will have hot tea and cookies!
We keep it pretty low-key here and welcome all experience levels.
Join us for hot tea and cookies! We will have a low-key evening discussing our current projects and aspirations in Machine Learning!
Join us for hot tea and cookies! We will have a low-key evening discussing our current projects and aspirations in Machine Learning!
Join us for a low-key evening discussing our current projects and aspirations in Machine Learning!
You can level up your data science skills by competing with other ML practitioners. There is a challenge out there for all competitors at all different stages. We will go over some of the major platforms and discuss best ways to get started and rank up.
This week we will go over simple recipes that make it easier for anyone to start exploring machine learning.
While there are exciting possibilities, one of the biggest challenges in machine learning is the problem of bias. Especially when AI powered algorithms are used to make critical decisions such as granting of loans, evaluating job applications, making pretrial decisions in the criminal justice system, the presence of bias can lead to social injustice and financial harm.
Energy consumption of AI poses environmental issues. This week we will talk about why it takes so much energy for machines to learn and how ML practitioners can help reduce the carbon footprint of artificial intelligence powered systems.
This week we will talk about how AI can help advance social equality.
This week we will talk about how AI can help advance social equality.
Today we will read a recent paper by Abeba Birhane, PhD Student at University College Dublin which was the recipient of the Best Paper award at the 2019 Black in AI Workshop at NeurIPS
Algorithmic Injustices: Towards a Relational Ethics
It is not speculative anymore that the AI is the future. The question is, how big of a part you will play in the change of our collective vision.
It is not speculative anymore that the AI is the future. The question is, how big of a part you will play in the change of our collective vision.
This week we will talk about AI and robotics, focusing on the research & development of bio-inspired intelligent systems.
This week we will talk about AI and robotics, focusing on the research & development of bio-inspired intelligent systems.
This week, we will talk about ML and medicine: opportunities, challenges and considerations.
This week, we will talk about our goals for the group and initiate insightful discussions on the AI industry.
This week, we will talk about our goals for the group and initiate insightful discussions on the AI industry.
We would love to hear from you! Please fill out the form below to send a message.