#Unbound #DNS server running in a #sparse #Solarish #Illumos zone. Works nice! Life is great!

 Signal adds new Cryptographic Defense against Quantum Attacks.

Signal announced the introduction of Sparse Post-Quantum Ratchet [SPQR], a new cryptographic component designed to withstand quantum computing threats. SPQR will serve as an advanced mechanism that continuously updates the encryption keys used in conversations and discarding the old ones.

https://signal.org/blog/spqr/

#signal #sparse #postquantum #ratchet #spqr #it #security #privacy #engineer #media #tech #news

🎉 Oh, joy! 🙄 Signal's masterminds have blessed us with a "Sparse #Post #Quantum #Ratchet," because apparently, regular encryption just isn't fancy enough anymore. 🤓 Don't you feel safer already from those imaginary quantum computer threats that totally exist in 2025? 🚀🔒
https://signal.org/blog/spqr/ #Signal #Sparse #QuantumEncryption #CyberSecurity #FutureTech #HackerNews #ngated
Signal Protocol and Post-Quantum Ratchets

We are excited to announce a significant advancement in the security of the Signal Protocol: the introduction of the Sparse Post Quantum Ratchet (SPQR). This new ratchet enhances the Signal Protocol’s resilience against future quantum computing threats while maintaining our existing security guar...

Signal Messenger

no more femoral sketches so back to bixness as usual
i am concerned that bealix's ears seem to keep getting larger and larger

#bealix #mastoart #respelia #plantoid #dryad #plantgirl #monstergirl #goblingirl #sparse #shoddy #baseball #baseballgirl #elfgirl #greenskin

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

#CUDA #Sparse #SpMM #DeepLearning #DL #Package

https://hgpu.org/?p=30006

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

Sparse matrix multiplication operators (i.e., SpMM and SDDMM) are widely used in deep learning and scientific computing. Modern accelerators are commonly equipped with Tensor cores and CUDA cores t…

hgpu.org

A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs

#CUDA #Compilers #Sparse #MatrixMultiplication

https://hgpu.org/?p=29951

A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs

Sparse data structures are commonly used in neural networks to reduce the memory footprint. These data structures are compact but cause irregularities such as random memory accesses, which prevent …

hgpu.org

'Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights', by Insung Kong, Yongdai Kim.

http://jmlr.org/papers/v26/24-0425.html

#priors #sparse #bnn

'High-Dimensional L2-Boosting: Rate of Convergence', by Ye Luo, Martin Spindler, Jannis Kueck.

http://jmlr.org/papers/v26/21-0725.html

#boosting #lasso #sparse

'The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning', by Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu.

http://jmlr.org/papers/v26/23-1022.html

#sgd #autoencoder #sparse

The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning