Latest trends in machine learning and artificial intelligence
What were the top trends in machine learning this year? And what's next?
This year in Machine Learning
During this informal talk, Rustam Mehmandarov and Marco Angel Bertani-Økland will discuss their top 5 trends for this year within machine learning. We will go into how these trends are affecting the ML landscape and why we think they are important. As a bonus, we will also mention what we believe are some of the emerging trends to follow up for next year.
- Rustam Mehmandarov
Sjefsingeniør, Computas AS
- Marco Angel Bertani-Økland
Chief Data Scientist, EcoOnline AS Avd Oslo
Foundation models of the future: a hardware perspective
The AI landscape has changed dramatically over the past few years and is expected to change just as dramatically in the next few years. Models are migrating from dense transformers trained on single data formats performing single tasks, to general purpose "foundational" models that can be used by many for many different purposes. Lead times in hardware manufacture are counted in years so at Graphcore we invest a lot of time thinking about what the future of AI will bring. I will discuss this paradigm shift in AI from an algorithmic, system and economic perspective, as well as give our view on what the future may look like in this exciting area.
- Ellie Dobson
Director of Data Science EMEA, Arundo Analytics AS