Animesh Trivedi receives NWO KLEIN-1 grant
In machine learning, large models are associated with more accuracy and intelligence. Building and training of large models processes large amounts of data in CPU-attached and accelerator on-board DRAM memories, which are not scalable, energy-inefficient, and extremely expensive, thus putting large model training out of reach for many users. They propose to leverage Non-Volatile Memory (NVM) storage technology to design a Machine-learning-from-Storage model training paradigm, where data is dynamically moved between NVM storage and DRAM memories on-demand, thus unleashing a new class of previously-unavailable cost- and energy-efficiency for all.
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.