Join us the monthly AI tech talks on 5/22 6-8pm at Uber NYC office. We will have 3 speakers to deep dive technology on time prediction, machine learning for artist, and embedding tech for machine learning.
6:00-6:30pm: checkin & food/snack
6:30-6:40pm: welcome and intro
6:40-7:10pm: Talk1: Time Prediction for Uber Eats Dispatch, by Lei Kang, Naveen Somasundaram from Uber.
Time prediction plays a critical role in Eats dispatch decision making in terms of when to dispatch couriers. In this talk, we’ll go over some key components we need to predict to ensure dispatch efficiency and related challenges.
7:10-7:40pm: Talk 2: How embeddings power Machine Learning, by Douwe Osinga.
This talk tells the story of embeddings by showing not only how they are used in different deep learning models, but also how they can really help us get an intuition about how these models function.
We'll start by looking at MNIST handwritten digits, before moving on to embedding words for fun and profit. After that we'll look at modern image recognition systems and how that recognition is just a nearest neighbor search on the produced embeddings.
We'll close by looking at how embeddings are used in machine translation and how that work opens up the tantalizing perspectives of using thought vectors towards general intelligence.
7:40-8:10pm: Talk 3: Machine learning for Artists, by Gene Kogan
I will introduce a open project to study and build an autonomous artificial artist: a self-owning art program which creates digital art through a decentralized and irreproducible generative model. The idea sits at the intersection of computational arts, machine learning, connecting the aspirations of computer artists to synthesize artificial creativity. This talk will review at a high-level the technologies that make this idea possible with deep generative modeling.
8:10-8:30pm: Mingle, Q&A, and close.
Close to the BDFM, 123 & NQR
Or better yet, take an Uber!