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natmachintell.bsky.social
A Nature Research journal on AI, robotics and machine learning @natureportfolio.bsky.social nature.com/natmachintell
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Check out our new piece in @natmachintell.bsky.social @natureportfolio.nature.com, featuring AI-driven biomaterials discovery by Daniela Kalafatovic & Goran Mauša through resource-efficient deep learning to generate self-assembling peptides. Huge kudos to Tianang Leng! @upenn.bsky.social

submitted 11 days ago • 0 comments

What are goals? Can we model them as programs that produce rewards? In particular, can we model free-form creativity in game design this way? And learn to generate games like humans do? Our new paper in @natmachintell.bsky.social, led by @guydav.bsky.social and Graham Todd, shows that yes, we can!

submitted 7 days ago • 1 comment

Out today in Nature Machine Intelligence! From childhood on, people can create novel, playful, and creative goals. Models have yet to capture this ability. We propose a new way to represent goals and report a model that can generate human-like goals in a playful setting... 1/N

submitted 7 days ago • 5 comments

🚨Our January issue is now live and includes research on using neuromorphic computing to advance AI, a large-scale analysis that shows that LLMs exhibit social identity biases, and much more! Check it out: www.nature.com/natcomputsci...

submitted 30 days ago • 1 comment

Our Jan issue is live! nature.com/natmachintell with an article (Yejin Choi et al) and N&V commentary (Molly Crockett) on Delphi, designed to investigate AI moral reasoning. Also read about IntegrateAnyOmics by @bowang87.bsky.social, an unsupervised platform to tackle incomplete multi-omics data.

submitted 30 days ago • 0 comments

Exploring the gap between what LLMs really know vs what people think they know www.nature.com/articles/s42...

submitted 38 days ago • 5 comments

Collecting #omics data is expensive, but #EHR data is available for large patient cohorts for free! In our latest @natmachintell.bsky.social paper, we show how deep learning + EHR data can supercharge omics models. Hard work by (soon to be Dr.) Samson Mataraso: www.nature.com/articles/s42...

submitted 43 days ago • 0 comments

🚀 Our paper on visual cognition in multimodal large language models is now out in @natmachintell.bsky.social with @lucaschubu.bsky.social, @bethgelab.bsky.social and @ericschulz.bsky.social!

submitted 44 days ago • 0 comments

What a great way to end the year! 🎉 Thrilled to announce our paper is now out in @natmachintell.bsky.social How can agents achieve both sample and memory efficiency? We present Sequential Episodic Control (SEC), a hippocampal-inspired model that uses sequential memory to guide actions! 🧵

submitted 59 days ago • 1 comment

Nic Rouleau & I: checklist to go through when settling on opinions about AI, diverse intelligence, unconventional cognition, consciousness, mind/machine issues, etc. When you read (or write) about these topics, run the perspective through this, to kick the tires. 🧪 www.nature.com/articles/s42...

submitted 77 days ago • 2 comments

Our 2024 Dec issue is live! nature.com/natmachintell with robot rats, a Perspective on AI safety guidelines, a plea for clarity when discussing 'intelligence' in living or artificial systems (by @drmichaellevin.bsky.social & Rouleau), a protein representation model when data is scarce, and more.

submitted 72 days ago • 0 comments

The opportunities, challenges and outlook for LLM-based agents in medicine and healthcare—our paper published today nature.com/articles/s42...

submitted 85 days ago • 4 comments