Seminar: Scaling reinforcement learning to large interactive environments and long-horizon robotic tasks
Seminar: Learning to walk: optimizing trajectories and policies for real robots and dynamic tasks
Seminar: Amazon behind the scenes
Blog: Robot learning workshop at NeurIPS2020 – podcast with Julien Perez
By dissecting the matching process of the recent ColBERT model, we make a step towards unveiling the ranking properties of BERT-based ranking models and show that ColBERT (implicitly) learns a notion of term importance that correlates with IDF.
Running into the unknown with RunAhead: finding pleasant running tours and intuitively navigating through them. The use of combinatorial optimization and UX design, together with head-tracking technology, provides a non-intrusive way of helping runners to discover new itineraries.
GLOBAL AI R&D BELT
ACADEMIA – EU/GOVT – ENTREPRENEURS
Our partnerships range from long-term fundamental research to investment in products and services.