The temptation with a car like the Czinger 21C is to treat it as a collection of extreme specifications, and to be fair, it’s ...

Modern industrial facilities face a growing contradiction between increasing product scales and restricted floor space. As manufacturers in sectors like wind power, energy storage, and prefabricated ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Electric vehicle adoption continues to rise, yet the technology’s competitiveness against internal combustion engine ...

Google’s Willow quantum processor ran a specific algorithm 13,000 times faster than a classical supercomputer, according to ...

Abstract: In this work, a new method is proposed to derive the initial approximate model for a multifidelity (MF) surrogate optimization. Specifically, the proposed method is trained using a set of ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

DAAAM enhances autonomous systems' spatiotemporal capabilities by integrating real-time 4D scene graphs with rich language ...

Here, Vidya Vijay, Director of Business Development at Nordson Test and Inspection, examines how intelligent in-situ sensing ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...