A Nature Research journal on AI, robotics and machine learning
@natureportfolio.bsky.social
nature.com/natmachintell
Nature Machine Intelligence
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Our April issue is live! With a Perspective on fluid forms of collective intelligence, a study on mechanisms underlying overconfidence and underconfidence in LLMs, work on deep learning for programmable RNA translation, our editorial on embodied intelligence, and more.
www.nature.com/natmachintell/
Our March issue is live! With a computational framework for human-machine interactions in neural interfaces, benchmarking for neuromorphic soft robots, a ML approach for long-range atomic interactions, and our editorial about reproducibility in times of fast science. www.nature.com/natmachintell/
Geir Kjetil Sandve (U of Oslo) on his dedication to open science "To me, open science is not about whether it’s theoretically possible with unlimited time to build on something but about ensuring it’s open in a way that actually invites reuse, transparency, and reproducibility." tinyurl.com/3743fr5m
Our Feb issue is live! With work on meta-designing quantum experiments, an overview of what works in vision-language models for robots, a foundation model for cardiac health, and our editorial 'AI and the long game', looking back at AlphaGo's breakthrough 10 years ago www.nature.com/natmachintell/
Just out in @natmachintell.nature.com: Fluid Thinking on Collective Intelligence, a paper comparing #collectiveintelligence in #neuralnetworks with that in swarm robotics and insect colonies from #KempnerInstitute Affiliate Faculty Justin Werfel!
Read the paper: rdcu.be/fffak
Our May issue is live! With a study teaching AI human-like shape-based vision, a domain-adapted LLM to support clinical psychiatrists, an octopus-inspired robot arm for underwater tasks and more.
Plus: Our editorial "Stop ‘tokenmaxxing’ and deploy AI sensibly instead"!
www.nature.com/natmachintell/
Our new correspondence argues that the impact of conversational AI won’t stay inside the screen.
We need to understand how sustained human–LLM interactions shape connection, agency, resilience, and social life, so that these systems strengthen, rather than erode, our relationships with one another
Now out in Nature Machine Intelligence @NatMachIntell “Adopting a human developmental visual diet yields robust and shape-based AI vision”:
doi.org/10.1038/s422.... A wonderful case where brain inspiration improved AI.
With @martisamuser.bsky.social, Radek Cichy and @timkietzmann.bsky.social .
Happy to share that our Developmental Visual Diet (DVD) paper was selected as the cover article for the May issue of Nature Machine Intelligence ( @natmachintell.nature.com)!
www.nature.com/natmachintel...
Ein spannendes, neues Paper aus unserem Cluster, jetzt in @natmachintell.nature.com erschienen! Glückwunsch an die Autoren @mariokrenn.bsky.social und Sören Arlt! Lest die Pressemitteilung von @unituebingen.bsky.social für mehr Infos 👇
