Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

Analytics Deep Learning Machine Learning Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize. Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

The work marks a beginning in using machine learning techniques to optimize the architecture of chips. Written by Tiernan Ray, Senior Contributing Writer Feb. 28, 2021 at 2:05 p.m. PT ...

Built on Snowflake architecture, the platform has increased S&P’s coverage of SMEs by 5X. “Our objective was expansion and efficiency,” explained Moody Hadi, S&P Global’s head of risk ...

Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at HZDR and the Max Delbrück Center for ...