Jun
21,
2023
AI as a Superpower: LAION and the Role of Open Source in Artificial Intelligence
In early March of this year, we had the pleasure of talking with Christoph Schuhmann, co-founder of the open-source AI organization LAION. We spoke with him about the organization's founding, the datasets and models it has produced, and the future of open-source AI development.
Nov
16,
2022
Three Key Considerations When Implementing AI
For some time now, artificial intelligence that allows an image to be generated from a text input, has been more or less freely available. Well-known examples are OpenAI's DALL-E and Google's Imagen. Not too long ago, Stability.ai's DreamStudio.ai was released, which, unlike the other AIs, is completely open source.
Oct
4,
2022
AI in Vaccine Development and Rollout
This article describes use cases and tools that AI healthcare companies and research teams built to facilitate vaccine design, speed up trials, predict mutations, prioritize patients, and address vaccine hesitancy.
Nov
3,
2021
Speaker Testimonial: Christoph Henkelmann
What are the current ML trends? How can you stay ahead of the curve and enhance your ML skills? And what sets ML Conference apart from any other conference? Watch Christoph Henkelmann as he shares his ML knowledge in this latest video testimonial.
Sep
10,
2019
4 arguments to convince your boss
You can't see the forest for the trees anymore, and you need new inspirations urgently? Then ML Conference is the place to be. Connect with like-minded people, widen your horizon while gaining deep insights and practical knowledge of the latest trends and technologies.
Jul
19,
2019
How UX can demystify AI: “We need more than just technical transparency”
Can UX demystify AI? Ward Van Laer answers this question in his session at the ML Conference 2019. We invited him for an interview and asked him how to solve the black box problem in machine learning by merely improving the user experience.
Jul
9,
2019
The Ethics of AI – dealing with difficult choices in a non-binary world
In the field of machine learning, many ethical questions are taking on new meaning: On what basis does artificial intelligence make decisions? How can we avoid the transfer of social prejudices to machine learning models? What responsibility do developers have for the results of their algorithms? In his keynote from the Machine Learning Conference 2019, Eric Reiss examines dark patterns in the ethics of machine learning and looks for a better answer than "My company won’t let me do that."
Feb
8,
2019
Keynote http://commodity.ai
How can AI be turned into a commodity – a cheap, easily available product, that is used by everyone? Will it even be possible to turn AI into a commodity at all? Dr. Pieter Buteneers (Robovision) adresses these questions in this keynote from ML Conference 2018 in Berlin.
Nov
16,
2018
AI as a smart services for everyone
If you cannot or do not want to build an AI project from scratch, you have countless choices of ready-made services. But what can you do if the finished services do not fit the project? Customizable AI and ML models in the cloud, which you can train with your own data, provide a remedy.
Nov
12,
2018
Too many ideas, too little data – Overcome the cold start problem
The cold start problem affects both startups as well as established companies. Nonetheless, it also provides a great opportunity to collect new data with your customer’s problem in focus. How do you solve the cold start problem and arrive at a useful data pipeline? We talked to ML Conference speakers Markus Nutz and Thomas Pawlitzki about all this and more.