Carlo Vittorio Cannistraci

722 posts

Carlo Vittorio Cannistraci

Carlo Vittorio Cannistraci

@NetworkAutomata

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

Beijing, China Katılım Haziran 2018
315 Takip Edilen302 Takipçiler
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Carlo Vittorio Cannistraci
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.

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Carlo Vittorio Cannistraci
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: openreview.net/group?id=NSIA/… For more info: network-science-ai.github.io/abstracts.html Follow us on LinkedIn: linkedin.com/company/networ… #NetworkScience #AI #DeepLearning #ComplexSystems #NSIA2026 #NetSci2026

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Carlo Vittorio Cannistraci
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. 🔗network-science-ai.github.io #NSIA2026 #NetworkScience #AI #MachineLearning #ComplexSystems

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Carlo Vittorio Cannistraci
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
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Carlo Vittorio Cannistraci
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
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Carlo Vittorio Cannistraci
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.

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Carlo Vittorio Cannistraci
Carlo Vittorio Cannistraci@NetworkAutomata·
Curious to investigate interpretable motifs also in dynamic sparse regimes. Open to discuss!
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Carlo Vittorio Cannistraci retweetledi
Symmetry and Geometry in Neural Representations
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. neurreps.org/call-for-papers
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Carlo Vittorio Cannistraci
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 youtu.be/pzkctDSZn8g?si…
YouTube video
YouTube
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.

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Carlo Vittorio Cannistraci
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
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Carlo Vittorio Cannistraci
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.
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Carlo Vittorio Cannistraci
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. ahajournals.org/doi/10.1161/ja…
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Carlo Vittorio Cannistraci
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?
Carlo Vittorio Cannistraci tweet media
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Carlo Vittorio Cannistraci
Carlo Vittorio Cannistraci@NetworkAutomata·
#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
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@NetSciConf @netscisociety @Tsinghua_Uni @nabla_theta @OpenAI @NeurIPSConf @ICCVConference @adn_twitts