Fully Connected

Bringing ML practitioners together

Fully Connected is your home for curated tutorials, conversations with industry leaders, deep dives into the newest ML research, and a whole lot more.

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Pete Warden — Practical Applications of TinyML
Cayla Sharp, Angelica Pan
Pieter Abbeel — Robotics, Startups, and Robotics Startups
Cayla Sharp, Angelica Pan
Chris Albon — ML Models and Infrastructure at Wikimedia
Cayla Sharp, Angelica Pan
Emily M. Bender — Language Models and Linguistics
Cayla Sharp, Angelica Pan
Jeff Hammerbacher — From data science to biomedicine
Cayla Sharp, Angelica Pan
Josh Bloom, Chair of Astronomy at UC Berkeley — The link between astronomy and ML
Cayla Sharp, Angelica Pan
Building AI-powered primary care with Curai's CTO, Xavier Amatriain
Cayla Sharp, Angelica Pan
Enterprise-scale machine translation with Spence Green, CEO of Lilt
Cayla Sharp, Angelica Pan
The rise of big data and CA's COVID-19 Response with Roger and DJ
Cayla Sharp, Angelica Pan
How Pandora Deploys Machine Learning Models into Production with Amelia and Filip
Cayla Sharp, Angelica Pan
OctoML CEO Luis Ceze on accelerating machine learning systems
Cayla Sharp, Angelica Pan
Bringing genetic insights to everyone with Invitae's Head of AI, Matthew Davis
Cayla Sharp, Angelica Pan
Clément Delangue, CEO of Hugging Face, on the power of the open source community
Cayla Sharp, Angelica Pan
What could make AI conscious? with Wojciech Zaremba, co-founder of OpenAI
Cayla Sharp, Angelica Pan
Graphcore's Phil Brown on how IPUs are advancing machine intelligence
Cayla Sharp, Angelica Pan
Alyssa Simpson Rochwerger on responsible machine learning in the real world
Cayla Sharp, Angelica Pan
How Sean Taylor of Lyft Rideshare Labs thinks about business decision problems
Cayla Sharp, Angelica Pan
Building Machine Learning Tools with Hamel Husain
Carey Phelps
Machine learning across industries with Vicki Boykis
Carey Phelps
Evolution of reinforcement learning and the robot hand with Peter Welinder
Carey Phelps
Machine Learning in Production for Conversational AI with Rachael Tatman
Carey Phelps
Machine Learning in Production for Robots with Brandon Rohrer
Carey Phelps
Machine Learning in Production for Self Driving Cars with Nicolas Koumchatzky
Carey Phelps
Trustworthy AI Systems with Jack Clark
Carey Phelps
Designing ML models for millions of consumer robots with Angela Bassa And Danielle Dean
Carey Phelps
Stanford's Polly Fordyce on microfluidic platforms and machine learning
Cayla Sharp, Angelica Pan
Societal Impacts of Artificial Intelligence with Miles Brundage
Carey Phelps
Productionizing machine learning models, one thoughtful change at a time with Josh Tobin
Carey Phelps
Product Management for AI with Peter Skomoroch
Carey Phelps
ML Research and Production Pipelines with Chip Huyen
Carey Phelps
Building Level 5 Autonomous Vehicles with Lyft's Anantha Kancherla
Carey Phelps
DeepChem creator Bharath Ramsundar on using deep learning for molecules and medicine discovery
Carey Phelps
The story of Fast.ai & why Python is not the future of ML with Jeremy Howard
Carey Phelps
Cultivating Machine Learning Communities with Suzana Ilić
Carey Phelps
How to win Kaggle competitions with Anthony Goldbloom
Carey Phelps
Taking hard lefts and the medical ML landscape with Zack Chase Lipton
Carey Phelps
Building industrial strength NLP pipelines with Ines and Sofie of Explosion.AI
Cayla Sharp
The unreasonable effectiveness of synthetic data with Daeil Kim
Cayla Sharp
Joaquin Candela, Tech Lead for Responsible AI at Facebook, on definitions of fairness
Cayla Sharp
Biggest challenge in making ML work in the real world with Richard Socher
Carey Phelps
TRI's Adrien Gaidon on advancing ML research in autonomous vehicles
Cayla Sharp, Angelica Pan
CEO Sean Gourley on NLP, national defense, and establishing ground truth
Cayla Sharp
Conducting fundamental machine learning research as a non-profit with MLC's founder Rosanne Liu
Cayla Sharp
Chris Anderson on Robocars, Drones and WIRED Magazine
Cayla Sharp
Streamlit's CEO Adrien Treuille on building blazingly fast and interactive tools people love
Cayla Sharp
Peter Norvig, Google’s Director of Research – Singularity is in the eye of the beholder
Cayla Sharp
Daphne Koller, CEO of insitro, on digital biology and the next epoch of science
Cayla Sharp, Angelica Pan
The not-so-secret secret behind building successful open source projects with Ludwig's Piero Molino
Cayla Sharp
Peter Wang on Anaconda, Python and Scientific Computing
Cayla Sharp
Ray's co-creator Robert Nishihara on the state of distributed computing in Machine Learning
Cayla Sharp
How AI is powering the next generation of security systems with Deep Sentinel's Dave Selinger
Cayla Sharp, Lavanya Shukla
Building intuitive data visualization tools with Vega-Lite's Dominik Moritz
Cayla Sharp, Angelica Pan
Cade Metz, author of "Genius Makers", on the rise of AI
Cayla Sharp, Angelica Pan, Lavanya Shukla
Facebook AI Research’s Tim & Heinrich on democratizing reinforcement learning research
Cayla Sharp, Lavanya Shukla
The power of simulation and abstraction with Intel's Vladlen Koltun
Cayla Sharp, Angelica Pan
NASA JPL's Chris Mattmann on ML applications on Earth, Mars, and beyond
Cayla Sharp, Angelica Pan
Nanit's Nimrod Shabtay on deployment and monitoring
Cayla Sharp, Angelica Pan