February 13-14, 2024
AI Summit West
Get Your Ticketfeaturing the Deep Learning Summit and Enterprise AI Summit
2023 SPEAKERS INCLUDE
Ipsita Mohanty
Applied Scientist / Software Engineer, Machine Learning - Technical Lead
Walmart Global Tech
Ipsita Mohanty is a Software Engineer, Machine Learning - Technical Lead, working on several key product and research initiatives at Walmart Global Tech. She has an MS degree in Computer Science from Carnegie Mellon University, Pittsburgh. Prior to her Masters' program, Ipsita worked as an Associate for six years, developing trading and machine learning algorithms at Goldman Sachs in their Global Market Division at Bengaluru & London locations. She has published work on Natural Language Understanding, and her research work spans across disciplines of computer science, deep learning, and human psychology.
Richard Socher
CEO
You.com
Sudeep Das
Deep Learning for Personalized Recommendations
DoorDash
Sudeep is a Data Science Manager at DoorDash, working within the Machine Learning team. He was previously a Machine Learning Area Lead at Netflix, where his main focus was on developing the next generation of machine learning algorithms to drive the personalization, discovery and search experience in the product. Apart from algorithmic work, he also takes a keen interest in data visualizations. Sudeep has had more than fifteen years of experience in machine learning applied to both large scale scientific problems, as well as in the industry. He holds a PhD in Astrophysics from Princeton University.
Aayush Prakash
Engineering Manager
Meta Reality Labs
Aayush is an engineering manager who leads the machine learning team within the synthetic data organization at Reality Labs, Meta. His group works on problems at the juncture of machine learning, computer vision and computer graphics. They tackle challenges in domain adaptation, neural rendering and other sim2real problems for mixed reality. Before joining Meta, he was the head of machine learning at synthetic data startup, AI Reverie. Prior to this, he worked at Nvidia where I spent 6 years on synthetic data research in computer vision. While at Nvidia, his group delivered some of the prominent works in synthetic data creation. He graduated with a B.Tech in E&ECE from Indian Institute of Technology (IIT) Kharagpur, India, in 2010, and MASc in Computer Engineering from University of Waterloo, Canada, in 2013.
Jeff Clune
Associate Professor, Computer Science / Canada CIFAR AI Chair
University of British Columbia
- I summarize our video pretraining (VPT) work, described in an OpenAI blog post: https://openai.com/blog/vpt
- We extend the GPT paradigm of performing unsupervised training in large models on internet-scale data to learning from online video
- Like GPT, VPT trains on internet data and can be fine-tuned with reinforcement learning: it performs at human-level on previously unsolvable tasks, here using a computer to do tasks that take humans over 20 minutes and over 24,000 actions
Regular Attendees Include:
























WHAT PEOPLE SAY ABOUT RE•WORK





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Sponsors Include:
We are pioneering synthetic data technologies to enable more capable and ethical AI.
We are a venture-backed startup at the intersection of deep learning and CGI, creating a new paradigm for computer vision model development. We enable our customers to develop better models at a fraction of the time and cost of traditional human-annotation based approaches.
Valohai is the MLOps platform purpose-built for ML Pioneers, giving them everything they've been missing in one platform that just makes sense. Now they run thousands of experiments at the click of a button – creating data they trust. All while using the tools they love to build things to last.
With Valohai, ML teams easily collaborate on anything from models to metrics. Allowing ML Pioneers to build faster and deliver stronger products to the world. Pushing the boundaries of what anyone out there ever dreamed they could do with ML.
With Valohai 's Smart Orchestration, you run models thousands of times. The Developer Core allows you to integrate with any tool from monitoring to optimization, and Knowledge Repository facilitates collaboration on anything from models to metrics. Constantly storing and versioning it all – making reproducibility a given.
Valohai - ML. The Pioneer Way.
At Featureform, we're creating workflow tools, not data infrastructure. We provide a clean and configurable workflow for ML teams, and enable ML resources to be leveraged across orgs. We standardize and accelerate the machine learning process! Visit website
Media Partners Include:
FXMAG
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