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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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.
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
@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…
Towards @nvidia 1:4 Semi-Structured 75% Sparsity via Cannistraci–Hebb N:M Dynamic Sparse-to-Sparse Training
See the main results. @netscisociety
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
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
@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.
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/…
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.
This is the top 10 of disinformation spreaders in X according to Grok 😂. Who do you think will be at the position number 10?
A clear analysis of the advantages of #DeepSeek
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#DeepSeek what are the architectural and algorithmic Innovations Behind DeepSeek’s Speed and Efficiency?
Its Mixture-of-Experts (MoE) design dynamically activates only 37 billion parameters per token (vs. ChatGPT’s dense activation of all parameters), slashing computational waste
Multi-Head Latent Attention compresses key-value vectors to 1/16th their size, accelerating memory-heavy attention mechanisms, while FP8 mixed precision training reduces GPU memory demands by 50%.
securityboulevard.com/2025/0…