Assessing real-world recurrence in high-risk (HR) non-muscle-invasive bladder cancer (NMIBC) treated with bacillus Calmette-Guérin (BCG) in the United States through a recurrence algorithm: A ...

AI is making significant contributions to the operations of non-profit organizations by enhancing efficiency, expanding reach, and enabling data-driven decision-making.

AI evolution Google DeepMind creates super-advanced AI that can invent new algorithms AlphaEvolve has already made Google's data centers more efficient and improved Tensor chips.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Problem When using torch.use_deterministic_algorithms(True), the sparsemax function fails due to the lack of deterministic support for cumsum in CUDA. This issue occurs specifically in the ...

A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time. Extreme learning machine (ELM) is ...

It's worth noting that PyTorch sdpa implementation may also select a non-deterministic execution path depending on the input dimension, but it would throw the following error/warning when ...

Simulation results demonstrate that the deterministic non-orthogonal signatures achieve excellent performance in joint activity and data detection using ML- and approximate message passing (AMP)-based ...