The work has launched a race to blow up the fluid equations: on one side, the deep learning team; on the other, mathematicians who have been working with more established techniques for years.

Porous-DeepONet, a novel deep learning framework, efficiently solves parameterized PDEs in porous media by capturing complex features using convolutional neural networks. It significantly ...

Traditional adaptive optimization techniques often require careful tuning of problem-specific hyperparameters, especially the parameter β2, to ensure convergence, which can be challenging and ...

Using this synthetic data, Uber sped up its neural architecture search (NAS) deep-learning optimization process by 9x. In a paper published on arXiv, the team described the system and a series of ...

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning. This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...

Interestingly, in this latest study, DeepMind researchers found "Take a deep breath and work on this problem step by step" to be the most effective prompt when used with Google's PaLM 2 language ...

TEL AVIV, Israel, Feb. 22, 2023 — Deci, the deep learning company harnessing AI to build AI, today released a new version of its deep learning platform, helping developers further simplify the AI ...

Apple's iOS 26 and iPadOS 26 public betas are releasing any minute now; Every iPhone model getting iOS 26 and which ones won't; How to download the iOS 26 beta on your iPhone ...