Theoretical #Engineer and #Computational Innovator in #physics of #complex #systems, #network science and machine #intelligence. Chair Professor @Tsinghua_Uni
Beijing, China
Joined June 2018
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Last week in Boston for the @netscisociety #netsci2026 I had the honour to offer a talk on my theory for link prediction and its application to neural networks. Thanks to @HirokiSayama to feature the work. – at Central Region, Singapore
Carlo Vittorio Cannistraci develops link prediction methods using network automata
#NetSci2026
@NetSciConf @netscisociety
#NSIA @NSIAsatellite Natasa Przulj,Professor of Computational Biology, MBZUAI; Professor, Computer Science UCL, Inventor of graphlets kick-starts the inaugural edition of the Network Science Informs AI satellite @netscisociety #netsci26
Towards @nvidia 1:4 Semi-Structured 75% Sparsity via Cannistraci–Hebb N:M Dynamic Sparse-to-Sparse Training
See the main results. @netscisociety
@elonmusk @NVIDIAAI visit us @Tsinghua_Uni for breakthrough in efficient AI. Today released the first algorithm performing better than dense networks at 2:4 50% semistructured sparsity and approaching dense at 1:4 (75%) in LLMs. preprints.org/manuscript/202…
Do not miss the opportunity to submit an abstract to the first satellite that discusses how "Network science informs AI" @NetSciConf 2026.
📢 ABSTRACTS OPEN!
Round 1 submissions are now open for the inaugural Network Science Informs AI (NSIA) satellite at @NetSciConf ! 🧠🕸️
We explore network topology, sparsity & dynamics as drivers for next-gen AI.
🗓️ Deadline (Round 1): March 9 (AoE)
📍 Organized by: @CCNI_lab
🔗 Submit here: openreview.net/group?id=NSIA…
For more info: network-science-ai.github.io…
Follow us on LinkedIn: linkedin.com/company/network…
#NetworkScience #AI #DeepLearning #ComplexSystems #NSIA2026 #NetSci2026
I am happy to announce that this year @NetSciConf 2026, we organize a satellite on "Network Science informs AI".
🚀 Announcing the inaugural NSIA Satellite at #NetSci2026!
We’re bridging the gap between Network Science and AI to build the next generation of intelligent systems. Join us in Boston for a deep dive into topology, brain-inspired connectivity, and emergent learning.
📅 June 1, 2026
📍 Boston, USA
📝 Call for Abstracts: Feb 12 – March 9 (Round 1)
Ready to redefine AI? Submit your work and join the dialogue.
🔗network-science-ai.github.io…
#NSIA2026 #NetworkScience #AI #MachineLearning #ComplexSystems
Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected
Y Zhang, D Cerretti, J Zhao, W Wu, Z Liao, U Michieli, CV Cannistraci
Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025), 2025
Epitopological Learning and Cannistraci-Hebb Network Shape Intelligence Brain-Inspired Theory for Ultra-Sparse Advantage in Deep Learning
Y Zhang, J Zhao, W Wu, A Muscoloni, CV Cannistraci
The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024
This journey builds on peer-reviewed results showing that ultra-sparse, brain-inspired dynamic training of network structures in deep neural networks can match fully connected performance in Transformers and LLMs, with major efficiency gains:
Research doesn’t always want to stay in papers. @netscisociety
I’m a co-founder of SparseMind AI, a startup born directly from my research @Tsinghua_Uni
Accumulating theoretical evidence and practical validations, our work is ready to move from research to real-world impact.
@nabla_theta + @OpenAI. Impressed by your “circuit sparsity” paper. It resonates with our @Tsinghua_Uni work soon @NeurIPSConf 2025 “Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected”
openreview.net/forum?id=OM0Q…
Long time I am not on X. I thank the organisers of the @ICCVConference "Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision" for inviting me as Keynote speaker in their inspiring workshop. @adn_twitts @geleonti @IndroSpinelli @GalassoFab10 et al.
Carlo Vittorio Cannistraci retweeted
📢 Call for Papers: NeurReps 2025 ‼️‼️‼️
🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks.
Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages).
Deadline: Aug 22, 2025.
neurreps.org/call-for-papers
It is fascinating to study complex systems such as the brain and to inspire new manners to train neural networks. We do this with a group of students @Tsinghua_Uni youtu.be/pzkctDSZn8g?si=Sfb2…
“#AI learns from the brain, and the #brain is revealed through AI,” says #TsinghuaRen Prof. Carlo Vittorio Cannistraci @NetworkAutomata (Italy), Chief Scientist at THU Laboratory of Brain and Intelligence, who envisions a new generation of AI that is energy-efficient & effective.
Interestingly, this shift has been linked to environmental factors like solar irradiance and even vitamin D levels, which are regulated by sunlight exposure. However, the exact mechanisms behind this phenomenon remain an area of active investigation
This seasonal variation appears to be influenced by factors such as sunlight intensity and circadian rhythms, which may alter the timing of heart attack onset.
The "summer shift" refers to a phenomenon observed in the timing of STEMIs, a severe type of heart attack. During the summer months, there is a noticeable shift in the occurrence of STEMIs from daytime hours to nighttime hours. ahajournals.org/doi/10.1161/…
