Our team consists of more than 150 AI experts out of which more than 80 hold a PhD in machine learning, computer vision or relevant fields. Through our own R&D work and customer projects, we aim to stay true to our nature as a private AI lab.
Remes, S., Heinonen, M., Kaski, S., 2017. Non-Stationary Spectral Kernels. NIPS 2017
In this article, I’ll shed a light on what are the ready-made configurable components in the area of Cloud AI & MLOps that we have built to speed up AI
Perhaps the most important lesson to be learned with AI/ML is that individual experiments and projects are educational, but they do not lead to business. An organization moving towards scaling
Regulation, ethics & geopolitics of AI. AI development advances with staggering speeds across the globe, while the democratization of tools grow the number of developers in every corner of the
Platforms thrive on the network effect, i.e, every new user creates value for other users of the platform. With data and AI, the network effect becomes even stronger. AI enables platform companies to learn faster than the competition, creating a virtuous circle.
Join 4000+ subscribers who read the Silo AI monthly newsletter
|
We use cookies on this site. By continuing use, you consent to the use of cookies. See our privacy policy for more information.
