Bio-electronic medicine is a new form of therapy that uses electrical pulses to modulate nerve activity. The small implant ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Energy and AI (2023). [2] Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network. IEEE Access (2020).

Air India Crash Investigators Working To Extract Recorder Data is published in Aviation Daily, an Aviation Week Intelligence Network (AWIN) Market Briefing and is included with your AWIN membership.

The advent of artificial neural networks has stirred the imagination of many in the field of knowledge acquisition. There is an expectation that neural networks will play an important role in ...

A technique for the training of multiple-valued neural networks based on a backpropagation learning algorithm employing a multilevel threshold function is proposed. The optimum threshold width of the ...

Learn more about zero-knowledge proofs (ZKPs), how they work, why they matter for cryptocurrency and CBDCs, and what the potential pitfalls are.

Insights from data and machine learning algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things ...

🔥 Physics-Informed Neural Network — 1D Heat Equation This project solves the 1D heat equation using two approaches: Physics-Informed Neural Networks (PINNs) — a neural network that embeds the physics ...

deep-learning dataset evolutionary-algorithms human-pose-estimation data-augmentation cvpr synthetic-data bias-correction 3d-human-pose 3d-computer-vision geometric-deep-learning 3d-pose-estimation 2d ...

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