In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks #Mac ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

DEKALB COUNTY, Ga. — After employees at DeKalb Public Health, including the Chief Operating Officer, were unable to be paid due to a technology outage, paychecks are expected to arrive Friday.

Three years ago, OpenAI cofounder and former chief scientist Ilya Sutskever raised eyebrows when he declared that the era’s most advanced neural networks might have already become “slightly conscious.

Abstract: This paper presents a novel approach to estimating Sigmoid and Tanh activation functions using Artificial Neural Networks (ANN) optimized for homomorphic encryption. The proposed method is ...

Abstract: In this paper, X-ray CT image is identified by using a revised GMDH-type neural network with sigmoid functions. The revised GMDH-type neural network algorithm with sigmoid functions proposed ...