Carlo Vittorio Cannistraci

#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

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…

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

@morganb @elonmusk @deepseek_ai #DeepSeek is only the beginning. The future of efficient #AI is to develop complex systems and brain-inspired algorithms that leverage dynamic sparse connectivity and morphology to automatically learn network architectures. youtu.be/pzkctDSZn8g?si=vDmI…

Neural Networks: the future of efficient #AI is to develop complex systems and brain-inspired algorithms that leverage dynamic sparse connectivity and morphology to automatically learn network architectures. @netscisociety @CompSysSoc youtu.be/pzkctDSZn8g?si=N1J5…

Neural Networks: the future of efficient AI is to develop complex systems and brain-inspired algorithms that leverage dynamic sparse connectivity and morphology to automatically learn their network architectures. @elonmusk @xai @OpenAI @YiMaTweets @andst7 youtu.be/pzkctDSZn8g?si=p5mj…

Below you find some introductory figures. Group separability measures in data science: an overview.

To pursue a dream you can't stay in the crowd. You need to stay 'alone' in the crowd, lost in the infinite imprecision of this world. Only in that moment you will feel the depth (and depth is sparsity and sparsity is risk of fracture) of the constitutive rules or the universe,