Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...

We may receive a commission on purchases made from links. As much as customers have come to appreciate Amazon for supplying products from countless brands, it's worth noting that not all Amazon finds ...

This article is part of an ongoing column on AI and planning by urban planner and AI expert, Tom Sanchez. Read more installments here. Urban planners aren’t expected to become AI engineers. But with ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...

We present an in vitro neuronal network with controlled topology capable of performing basic Boolean computations, such as NAND and OR. Neurons cultured within polydimethylsiloxane (PDMS) ...

Abstract: This advanced tutorial explores some recent applications of artificial neural networks (ANNs) to stochastic discrete-event simulation (DES). We first review some basic concepts and then give ...

Abstract: Deep neural networks are used across a wide range of applications. Custom hardware optimizations for this field offer significant performance and power advantages compared to general-purpose ...

%% Compute the fracture stress of graphene samples using a pre-trained neural network. %% Plot a figure, which is a part of Fig. 13 in Dewapriya et al. Carbon, vol. 163, 2020, pp. 425-440. %% Inputs ...