As multiple authors (for example Lindauer and Hutter, Yang et al., and Li and Talwalkar) have observed, many neural architecture search (NAS) studies are irreproducible, for any of several reasons.

The coming wave of multi-sided data has its roots in years of study by machine learning scientists, and generally goes by the name of "multi-view," or, alternately, data fusion.

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 ...

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 ...

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise ...

The goal of the team’s study was to demonstrate the potential for deep-learning architecture to support early and reliable identification of cystic hygroma from first trimester ultrasound scans.