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ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

With the rapid development of vehicle electrification and energy-saving technology, electric vehicles (EVs) have increasingly shown the ability to address the global energy crisis and emission issues.

The legislation prohibits property owners or managers from using software that relies on private information to set rents, what lawmakers say amounts to price-fixing and artificially inflates the cost ...

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Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...

CEO Arthur Mensch is steering Mistral away from the AGI hype and toward Europe’s A.I. sovereignty. Photo by Ludovic Marin/AFP via Getty Images Paris-based Mistral AI is on track for a new funding ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency while facing scaling challenges. Computational lithography optimizes the ...

Fig. 1 The lithography process. The projection lithography system. The advancement of semiconductor manufacturing is a key driver of electronic device innovations. As Moore’s Law progresses, ...