Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation environments. With its software, teams can explore numerous design specifications ...

Researchers at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory have created a new, AI-powered system for designing more durable microstructured ...

The AI revolution continuously requires new tools and methods to take full advantage of its promise, especially when dealing with imaging data beyond visible wavelengths of the electromagnetic ...

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

NAS methods can generally be classified based on tailored designs from the following aspects: search space, search strategy, and evaluation strategy. In particular, search space can be further ...

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given yet ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...