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.
“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.
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.
#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…
🚀 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
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.
“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.
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
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
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.
📢 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_Uniyoutu.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.
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
#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