I'll be teaching part of the PhD course on AI for Earth, so excited!
As we roll out Clay it's become clear to me that this is NOT about creating a finest AI to solve all our problems, nor is it about dismissing AI as just stochastic parroting hallucinations. Technology, or data, doesn't change the world—people do. People with the right data and tech.
This magic happens when you have one foot grounded in each world: the world of Data and Transformer code; and the world of budgets and mud on your toes. Unfortunately, there aren't many people with that combo of skills and experience, but it's exactly that combination that delivers the actual promise.
It won't be Clay v1 or GPT-5 that solves #AIforEarth. It will be a ragtag group of pioneers willing to try new paths, tackle messy data, explain themselves a million times, and risk their careers when they could choose not to. Why? Because the upside is getting the same results much faster, better, cheaper, and getting whole new benefits we cannot yet imagine.
I humbly consider myself part of that oddball group. I've fought the code in my Astrophysics PhD and rocket science, building the Planetary Computer, through fast.ai ML courses and long nights; and I also got my share of mud building a Data Science team in remote Bhutan, teaching OSM in Panama or South Africa, mapping refugee camps in Kakuma and cadasters in Kosovo with drones, improving traffic jams in Cebu with Grab, or using AI for loan risk assessments for a Bank for women in Mexico. I live for this stuff, even wrote a book about it ("Impact Science").
All this to say what, and why, I'll be teaching at this PhD course:
SSL4EO: Self-Supervised Learning for Earth Observation, from July 01-05, 2024, in Copenhagen, Denmark. This unique course is designed not just to teach the latest SSL techniques but to integrate them seamlessly into real-world Earth observation applications.
Why Attend?
🔍 Dive deep into self-supervised learning (SSL) methods
💡 Address the unique challenges and opportunities of Earth observation data
🤝 Collaborate and network with fellow PhD students and experts in the field
🛠️ Gain practical, hands-on experience with real-world projects
I'll be speaking alongside Randall Balestriero (META), Marc Rußwurm (Wageningen), Konstantin Klemmer (MSFT), Jan Dirk Wegner (UZH/ETH) and Xiaoxiang Zhu, (TUM). All orchestrated by Stefan Oehmcke, Nico Lang, Ankit K., Christian Igel, Rasmus Fensholt. (U. Copenhagen).
If you're passionate about leveraging SSL for Earth observation, this is the course for you. Register now and join us in Copenhagen for an enriching experience.
📅 Dates: July 01 - 05, 2024
📍 Location: Festsalen, Øster Voldgade 10, 1350 Copenhagen, Denmark
🎓 Earn 2.5 ECTS credit points
Learn more and register here: https://lnkd.in/d7ACNciG
As we roll out Clay it's become clear to me that this is NOT about creating a finest AI to solve all our problems, nor is it about dismissing AI as just stochastic parroting hallucinations. Technology, or data, doesn't change the world—people do. People with the right data and tech.
This magic happens when you have one foot grounded in each world: the world of Data and Transformer code; and the world of budgets and mud on your toes. Unfortunately, there aren't many people with that combo of skills and experience, but it's exactly that combination that delivers the actual promise.
It won't be Clay v1 or GPT-5 that solves #AIforEarth. It will be a ragtag group of pioneers willing to try new paths, tackle messy data, explain themselves a million times, and risk their careers when they could choose not to. Why? Because the upside is getting the same results much faster, better, cheaper, and getting whole new benefits we cannot yet imagine.
I humbly consider myself part of that oddball group. I've fought the code in my Astrophysics PhD and rocket science, building the Planetary Computer, through fast.ai ML courses and long nights; and I also got my share of mud building a Data Science team in remote Bhutan, teaching OSM in Panama or South Africa, mapping refugee camps in Kakuma and cadasters in Kosovo with drones, improving traffic jams in Cebu with Grab, or using AI for loan risk assessments for a Bank for women in Mexico. I live for this stuff, even wrote a book about it ("Impact Science").
All this to say what, and why, I'll be teaching at this PhD course:
SSL4EO: Self-Supervised Learning for Earth Observation, from July 01-05, 2024, in Copenhagen, Denmark. This unique course is designed not just to teach the latest SSL techniques but to integrate them seamlessly into real-world Earth observation applications.
Why Attend?
🔍 Dive deep into self-supervised learning (SSL) methods
💡 Address the unique challenges and opportunities of Earth observation data
🤝 Collaborate and network with fellow PhD students and experts in the field
🛠️ Gain practical, hands-on experience with real-world projects
I'll be speaking alongside Randall Balestriero (META), Marc Rußwurm (Wageningen), Konstantin Klemmer (MSFT), Jan Dirk Wegner (UZH/ETH) and Xiaoxiang Zhu, (TUM). All orchestrated by Stefan Oehmcke, Nico Lang, Ankit K., Christian Igel, Rasmus Fensholt. (U. Copenhagen).
If you're passionate about leveraging SSL for Earth observation, this is the course for you. Register now and join us in Copenhagen for an enriching experience.
📅 Dates: July 01 - 05, 2024
📍 Location: Festsalen, Øster Voldgade 10, 1350 Copenhagen, Denmark
🎓 Earn 2.5 ECTS credit points
Learn more and register here: https://lnkd.in/d7ACNciG