A new paper reduces the assumed security of 1024-bit RSA by forging signatures. However, the method is hardly relevant in ...

IntroductionI wrote a short story about a true event from when I used to develop embedded software.A young programmer was ...

Programmers can now create software for photonic computers using Python and C/C++, thanks to the new software development kit (SDK) and the associated APIs released by Q.ANT GmbH this week. Q.ANT ...

Quantum cryptography has long promised a future in which sensitive computations can be carried out collectively without any single party learning the others’ secrets. A new study published in Q ...

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...

Google develops search, advertising, cloud, and AI technologies at global scale. Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the ...

Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...

AQ-Stacker, a new hybrid quantum-classical algorithm, achieves 96 per cent accuracy on the MNIST dataset, exceeding the performance of previous methods with improved numerical stability in a practical ...

There's no need to choose between "flexibility" and "high performance" anymore. After a year of hard work, FlashAttention-4 has finally been officially launched. Recently, FlashAttention, an important ...

Scientists have long sought to improve the efficiency of matrix multiplication, a cornerstone of modern computation that presents significant challenges as data scales. Jiaqi Yao and Ding Liu, both ...