This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal ...

Novel Architecture Makes Neural Networks More Understandable. By Steve Nadis. September 11, 2024. By tapping into a decades-old mathematical principle, ... An April 2024 study introduced an ...

While power tools and libraries, such as Apache Spark and Intel’s Trusted Analytics Platform, make it possible to quickly design, implement, train, and test neural network applications, it is ...

An alternative to manual design is “neural architecture search” (NAS), a series of machine learning techniques that can help discover optimal neural networks for a given problem.

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

Kicking neural network automation into high gear Date: March 21, 2019 Source: Massachusetts Institute of Technology Summary: Algorithm designs optimized machine-learning models up to 200 times ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Nanoparticle neural network (NNN) for a functionally complete 3-input system. The system can be represented with a multi-layer perceptron diagram with three layers (input, hidden and output layers ...

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 ...

This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together ... "Neural Architecture DESIGN and Artificial Intelligence" 05 Jan ...