Nature Machine Intelligence
@natmachintell.nature.com
A Nature Research journal on AI, robotics and machine learning
@natureportfolio.bsky.social
nature.com/natmachintell
@natureportfolio.bsky.social
nature.com/natmachintell
Reposted by Nature Machine Intelligence
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
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
September 9, 2025 at 9:25 AM
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
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
Reposted by Nature Machine Intelligence
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
#Neuroscience #Neuroskyence #AI
Brain–computer interface control with artificial intelligence copilots - Nature Machine Intelligence
AI copilots are integrated into brain–computer interfaces, enabling a paralysed participant to achieve improved control of computer cursors and robotic arms. This shared autonomy approach offers a promising path to increase BCI performance and clinical viability.
spklr.io
September 1, 2025 at 7:00 PM
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
#Neuroscience #Neuroskyence #AI
Reposted by Nature Machine Intelligence
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...
www.nature.com/articles/s42...
Dimensions underlying the representational alignment of deep neural networks with humans - Nature Machine Intelligence
An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...
www.nature.com
June 23, 2025 at 8:03 PM
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...
www.nature.com/articles/s42...
Reposted by Nature Machine Intelligence
🚨 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
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
LLMs as all-in-one tools to easily generate publication-ready citation diversity reports
Nature Machine Intelligence - LLMs as all-in-one tools to easily generate publication-ready citation diversity reports
rdcu.be
August 25, 2025 at 2:32 PM
🚨 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
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
Reposted by Nature Machine Intelligence
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
@natmachintell.nature.com
#ML #AI #MLSky
1/n
August 19, 2025 at 10:38 PM
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
@natmachintell.nature.com
#ML #AI #MLSky
1/n
Reposted by Nature Machine Intelligence
#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...
nouvelles.umontreal.ca/en/article/2...
Using AI to 'see' what we see
Fed the right information, large language models can match what the brain sees when it takes in an everyday scene such as children playing or a big city skyline, a new study led by Ian Charest finds.
nouvelles.umontreal.ca
August 7, 2025 at 7:54 PM
#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...
nouvelles.umontreal.ca/en/article/2...
Reposted by Nature Machine Intelligence
🚨 Finally out in Nature Machine Intelligence!!
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
High-level visual representations in the human brain are aligned with large language models - Nature Machine Intelligence
Doerig, Kietzmann and colleagues show that the brain’s response to visual scenes can be modelled using language-based AI representations. By linking brain activity to caption-based embeddings from lar...
www.nature.com
August 7, 2025 at 1:06 PM
🚨 Finally out in Nature Machine Intelligence!!
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
Reposted by Nature Machine Intelligence
#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
www.nature.com/articles/s42... #AI
Emotional risks of AI companions demand attention - Nature Machine Intelligence
The integration of AI into mental health and wellness domains has outpaced regulation and research.
www.nature.com
August 6, 2025 at 3:36 PM
#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
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/
July 25, 2025 at 12:31 PM
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/
April 25, 2025 at 1:27 PM
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/
Reposted by Nature Machine Intelligence
🚨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...
April 25, 2025 at 12:54 PM
🚨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...
Reposted by Nature Machine Intelligence
'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
April 17, 2025 at 2:44 PM
'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
Reposted by Nature Machine Intelligence
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
AI in biomaterials discovery: generating self-assembling peptides with resource-efficient deep learning - Nature Machine Intelligence
Recurrent neural networks are efficient and capable agents for discovering new peptides with strong self-organizing capabilities.
www.nature.com
February 17, 2025 at 12:55 PM
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
Reposted by Nature Machine Intelligence
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
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
February 21, 2025 at 4:44 PM
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!
Reposted by Nature Machine Intelligence
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
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
February 21, 2025 at 4:29 PM
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
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
Reposted by Nature Machine Intelligence
🚨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...
January 29, 2025 at 2:51 PM
🚨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.
January 29, 2025 at 4:30 PM
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.
Reposted by Nature Machine Intelligence
Exploring the gap between what LLMs really know vs what people think they know
www.nature.com/articles/s42...
www.nature.com/articles/s42...
What large language models know and what people think they know - Nature Machine Intelligence
Understanding how people perceive and interpret uncertainty from large language models (LLMs) is crucial, as users often overestimate LLM accuracy, especially with default explanations. Steyvers et al...
www.nature.com
January 21, 2025 at 4:08 PM
Exploring the gap between what LLMs really know vs what people think they know
www.nature.com/articles/s42...
www.nature.com/articles/s42...
Reposted by Nature Machine Intelligence
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...
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...
January 16, 2025 at 5:01 PM
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...
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...
Reposted by Nature Machine Intelligence
🚀 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!
with @lucaschubu.bsky.social, @bethgelab.bsky.social and @ericschulz.bsky.social!
Have we built machines that learn and think like people?
In our new paper, we find that vision large language models still fall short when it comes to cognitive abilities in the domains of causal reasoning, intuitive physics, and theory of mind.
www.nature.com/articles/s42...
In our new paper, we find that vision large language models still fall short when it comes to cognitive abilities in the domains of causal reasoning, intuitive physics, and theory of mind.
www.nature.com/articles/s42...
Visual cognition in multimodal large language models - Nature Machine Intelligence
Modern vision-based language models face challenges with complex physical interactions, causal reasoning and intuitive psychology. Schulze Buschoff and colleagues demonstrate that while some models ex...
www.nature.com
January 16, 2025 at 10:16 AM
🚀 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!
with @lucaschubu.bsky.social, @bethgelab.bsky.social and @ericschulz.bsky.social!
Reposted by Nature Machine Intelligence
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!
🧵
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!
🧵
December 31, 2024 at 1:34 PM
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!
🧵
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!
🧵
Reposted by Nature Machine Intelligence
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...
www.nature.com/articles/s42...
Discussions of machine versus living intelligence need more clarity - Nature Machine Intelligence
Sharp distinctions often drawn between machine and biological intelligences have not tracked advances in the fields of developmental biology and hybrid robotics. We call for conceptual clarity driven ...
www.nature.com
December 13, 2024 at 1:54 PM
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...
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.
December 18, 2024 at 5:56 PM
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.
Reposted by Nature Machine Intelligence
The opportunities, challenges and outlook for LLM-based agents in medicine and healthcare—our paper published today
nature.com/articles/s42...
nature.com/articles/s42...
LLM-based agentic systems in medicine and healthcare - Nature Machine Intelligence
Large language model-based agentic systems can process input information, plan and decide, recall and reflect, interact and collaborate, leverage various tools and act. This opens up a wealth of oppor...
nature.com
December 5, 2024 at 1:29 PM
The opportunities, challenges and outlook for LLM-based agents in medicine and healthcare—our paper published today
nature.com/articles/s42...
nature.com/articles/s42...