Now that ICML papers are submitted and we are in the midst of discussions on whether scaling is enough or new architectural/algorithmic ideas are needed, what can be a better time to submit your best work to our workshop on New Frontiers in Associative Memory @iclr-conf.bsky.social?

I'm at #NeurIPS2024 ! Come chat with us about random features and DenseAMs, East hall # 3507 today Fri Dec 13 11a-2p!

If you’re headed to NeurIPS 2024, and want to learn about IBM Research Human-Centered Trustworthy AI, there are many many opportunities to do so.

1. Start with the official NeurIPS explorer by @henstr.bsky.social and @benhoover.bsky.social. It is infoviz par excellence. neurips2024.vizhub.ai

As R&D staff @ answer.ai, I work a lot on boosting productivity with AI. A common theme that always comes up is the combination of human+AI. This combination proved to be powerful in our new project ShellSage, which is an AI terminal buddy that learns and teaches with you. A 🧵

🎺 Here comes the official 2024 NeurIPS paper browser:
- browse all NeurIPS papers in a visual way
- select clusters of interest and get cluster summary
- ZOOOOM in
- filter by human assigned keywords
- filter by substring (authors, titles)

neurips2024.vizhub.ai

#neurips by IBM Research Cambridge

Excited to share "Dense Associative Memory through the Lens of Random Features" accepted to #neurips2024🎉

DenseAMs need new weights for each stored pattern–hurting scalability. Kernel methods let us add memories without adding weights!

Distributed memory for DenseAMs, unlocked🔓