Carlo Vittorio Cannistraci

Theoretical #Engineer and #Computational Innovator in #physics of #complex #systems, #network science and machine #intelligence. Chair Professor @Tsinghua_Uni

[Carlo Vittorio Cannistraci @NetworkAutomata]

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.

[Tsinghua University @Tsinghua_Uni]

“AI's future is not bigger, but smarter,” says Prof. Carlo Cannistraci. His project, SparseMind AI, won third at the HICOOL Global Entrepreneur Competition, algorithmically removing up to 99% of model bulk. This “sparse revolution” makes AI more accessible & sustainable for all.

[Carlo Vittorio Cannistraci @NetworkAutomata]

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.

[Hiroki Sayama @HirokiSayama]

Carlo Vittorio Cannistraci develops link prediction methods using network automata
#NetSci2026
@NetSciConf @netscisociety

[Carlo Vittorio Cannistraci @NetworkAutomata]

#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

[Carlo Vittorio Cannistraci @NetworkAutomata]

1:4 NVIDIA semi-structured sparse training and inference acceleration will come soon possible @elonmusk @nvidia @NVIDIAAI

[Carlo Vittorio Cannistraci @NetworkAutomata]

Towards @nvidia 1:4 Semi-Structured 75% Sparsity via Cannistraci–Hebb N:M Dynamic Sparse-to-Sparse Training
See the main results. @netscisociety

[Carlo Vittorio Cannistraci @NetworkAutomata]

@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. https://t.co/BeCxxZ3yjF

[Carlo Vittorio Cannistraci @NetworkAutomata]

Do not miss the opportunity to submit an abstract to the first satellite that discusses how "Network science informs AI" @NetSciConf 2026.

[Network Science Informs AI (NSIA) 2026 @NSIAsatellite]

📢 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: https://t.co/lIBDp3nbLu

For more info: https://t.co/f2kjPwRygy

Follow us on LinkedIn: https://t.co/Y61ppr8uWx

#NetworkScience #AI #DeepLearning #ComplexSystems #NSIA2026 #NetSci2026

[Carlo Vittorio Cannistraci @NetworkAutomata]

I am happy to announce that this year @NetSciConf 2026, we organize a satellite on "Network Science informs AI".

[Network Science Informs AI (NSIA) 2026 @NSIAsatellite]

🚀 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.

🔗https://t.co/QFwEO03vv5

#NSIA2026 #NetworkScience #AI #MachineLearning #ComplexSystems

[Carlo Vittorio Cannistraci @NetworkAutomata]

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

[Carlo Vittorio Cannistraci @NetworkAutomata]

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.

[Tsinghua University @Tsinghua_Uni]

“AI's future is not bigger, but smarter,” says Prof. Carlo Cannistraci. His project, SparseMind AI, won third at the HICOOL Global Entrepreneur Competition, algorithmically removing up to 99% of model bulk. This “sparse revolution” makes AI more accessible & sustainable for all.

[Carlo Vittorio Cannistraci @NetworkAutomata]

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

[Carlo Vittorio Cannistraci @NetworkAutomata]

Curious to investigate interpretable motifs also in dynamic sparse regimes. Open to discuss!

[Carlo Vittorio Cannistraci @NetworkAutomata]

@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”
https://t.co/AMefIMZx7V

[Carlo Vittorio Cannistraci @NetworkAutomata]

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.

[adn 👣 @adn_twitts]

Carlo's @NetworkAutomata keynote on networks and their geometry

BEW @ICCVConference

[Symmetry and Geometry in Neural Representations @neur_reps]

📢 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.

https://t.co/A3jYmIlTVH

[Carlo Vittorio Cannistraci @NetworkAutomata]

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 https://t.co/Qtdl4oNa8C

[Tsinghua University @Tsinghua_Uni]

“#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.

[Carlo Vittorio Cannistraci @NetworkAutomata]

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

[Carlo Vittorio Cannistraci @NetworkAutomata]

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. https://t.co/44ZHSADL5c

[Carlo Vittorio Cannistraci @NetworkAutomata]

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.

[Carlo Vittorio Cannistraci @NetworkAutomata]

This is the top 10 of disinformation spreaders in X according to Grok 😂. Who do you think will be at the position number 10?