Now out in @natmachintell.nature.com TCRT5 is a rapid generator of target-conditioned CDR3b, leads SoTA, and yields the first AI-designed self-tolerant binder to an OOD non-viral epitope (w val) 📑: www.nature.com/articles/s42... 🤗: huggingface.co/dkarthikeyan1 👨‍💻: github.com/pirl-unc/tcr_translate

A brain-computer interface co-piloted by AI improved how a person with paralysis complete tasks, such as moving a computer cursor or operating a robotic arm, by up to four times, according to research in @natmachintell.nature.com: spklr.io/63322BHjsK #Neuroscience #Neuroskyence #AI

What makes humans similar or different to AI? In a paper out in @natmachintell.nature.com led by @florianmahner.bsky.social & @lukasmut.bsky.social, w/ Umut Güclü, we took a deep look at the factors underlying their representational alignment, with surprising results. www.nature.com/articles/s42...

🚨 new paper alert! 🚨 Excited to share our latest paper in @natmachintell.nature.com , we tested 27 large language models to see if any could generate a publication-ready Citation Diversity Report… and several (free) LLMs could! Read paper for free at link: rdcu.be/eCfwJ @natureportfolio.nature.com

What complexity of algorithms can AI compute? In a new paper with colleagues at IBM Research, we explore how circuit complexity theory can help quantify the degree of algorithmic generalization in AI systems. www.nature.com/articles/s42... @natmachintell.nature.com #ML #AI #MLSky 1/n

#AI "Ultimately, this is a step forward in understanding how the human brain understands meaning from the visual world." #LLMs @mila-quebec.bsky.social @adriendoerig.bsky.social @timkietzmann.bsky.social @natmachintell.nature.com nouvelles.umontreal.ca/en/article/2...

🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" 🔗 www.nature.com/articles/s42...

#Chatbots are increasingly used as #MentalHealth supports and companions but this can be risky for ppl due to bots' abilities to manipulate users, an issue that providers and regulators must be more proactive about, argues @natmachintell.nature.com www.nature.com/articles/s42... #AI

Our July issue is live! Read our editorial about the emotional risks of companion chatbots, a Perspective on LLMs in real-world materials, research on AI-design of mechanical metamaterials with nonlinear responses, a new robot grasping mechanism and more: www.nature.com/natmachintell/

Our April issue is live! With a review article on AI safety research, an editorial on the emerging use of LLMs in robotics planning, a deep learning method for generating transitions states in chemical reactions, a wearable multimodal visual assistance system and more: www.nature.com/natmachintell/

🚨Our April issue is now live and includes a model to unravel plant behavior for functional devices, a method to efficiently screen compound libraries, a call for papers on generative molecular design and discovery, and much more! www.nature.com/natcomputsci...

'AI Safety for Everyone' is out now in @natmachintell.nature.com! Through an analysis of 383 papers, we find a rich landscape of methods that cover a much larger domain than mainstream notions of AI safety. Our takeaway: Epistemic inclusivity is important, the knowledge is there, we only need use it

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

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!

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

🚨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...

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.

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

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...

🚀 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!

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! 🧵

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...

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.

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