InterDigital Info Session [Virtual]

InterDigital Info Session

Date: September 27
Time: 12:00pm
RSVP via Handshake, virtual link found here: https://app.joinhandshake.com/events/853081

$200 Gift Certificate Raffle - all attendees who register and attend the event will be entered into the raffle. Must be present to win.

PhD students and motivated MS students in CS, EE, Statistics or relevant discipline,to intern with us and join a multi-disciplinary research team.

We work on novel applications of AI and machine learning

You won’t spend your time tweaking an obscure part of an ad or a social network here. You will develop proof-of-concepts, prototypesand research ideas that tie machine learning and AI technologies with a broad range of video and wireless technologies, and will publishyour work in leading conferences.

In recent work, we’ve developed neural networks (autoencoders) and software systems to compress video, used deep learningtechniques to analyze and optimize wireless/MIMO communications, applied NLP transformers to analyze long form structureddocuments, and built tools to compress neural networks that can then run on resource-constrained devices.

We are also building our own data ingestion platform to assist in collecting datasets to drive all of our research.
Title: Video research and NLP at Interdigital AI Lab
Speakers: Fabien Racapé, Vineeth Rakesh

Speaker Bios:
Fabien Racapé is a senior scientist at the InterDigital AI Lab. He received an engineering degree in physics and a M.Sc. in signal processing and telecommunications from the Grenoble Institute of Technology, France in 2008, and a PhD degree from the National Institute of Applied Science (INSA), Rennes, France in 2011. Prior to InterDigital, Fabien was a researcher at Technicolor R&I France from 2014 to 2019. He also worked at and the French Institute for Research in Computer Science and Control (INRIA) as a research engineer and at the Fraunhofer Institute for Telecommunications – Heinrich-Hertz-Institut, Berlin, Germany, in 2013 and 2014. He has been involved in H.266/Versatile Video Coding (VVC) and MPEG neural network compression standardization activities. His current research interests include neural network-based video compression, video coding for machines, as well as compressed neural network representations.

Vineeth Rakesh is a Researcher at Interdigital AI Research Lab at Palo Alto, California. He obtained his Phd and Masters in Computer Science from Wayne State University and did his Postdoc at Arizona State University. Prior to joining Interdigital he worked as a researcher in Technicolor AI Lab from 2018-2019.
His research interest is primarily in generative models, interpretable AI and probabilistic deep learning . He is also interested in applying these techniques to user personalization, natural language processing, information retrieval, recommendation systems and other emerging problems in machine learning.

Date: 
Monday, September 27, 2021 - 12:00pm to 1:00pm