Abstract: Mixed-signal chips, serving as critical interfaces between analog and digital domains, are playing an increasingly important role in modern electronic systems. To accelerate manufacturing ...
To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...
Four pioneers, the "Godfathers" and "Godmother" of AI, built the foundations of deep learning through decades of persistent ...
Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...
Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
AI wasn't created by one person, instead, it evolved over decades. British mathematician Alan Turing shaped the idea of AI by asking "Can machines think?" and proposing the Turing test. In 1956, at ...
Abstract: Optimization of deep neural networks (DNNs) has been driving modern advancements in artificial intelligence. With DNNs characterized by a prolonged sequence of nonlinear propagation, ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
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