Introduction: Infectious diseases present significant challenges to global healthcare systems due to their rapid spread and associated profound health implications. Early detection of unusual ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

卷积神经网络可以有效地处理空间信息，那么本章的循环神经网络（recurrent neural network， RNN）则可以更好地处理序列信息。循环神经网络通过引入状态变量存储过去的信息和当前的输入，从而可 以确定当前的输出。 《动手学深度学习》这本书的 第8章 “循环 ...

MIT Detects Traces of a Lost ‘Proto Earth’ Deep Beneath Our Planet’s Surface MIT discovers traces of “proto Earth” buried deep within ancient rocks, offering clues to the planet’s earliest history.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Spiking Neural Networks (SNNs) are promising for neuromorphic computing due to their biological plausibility and energy efficiency. However, training methods like Backpropagation Through Time (BPTT) ...

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...

Having a new and less resource-demanding approach, the researchers at MIT have developed a far less complex, deep learning control system that teaches the soft, bio-inspired robots to follow the ...

Background and purpose: Patients with recurrent nasopharyngeal carcinoma (rNPC) undergoing re-irradiation have a high risk of lethal nasopharyngeal necrosis (NN), which may lead to massive ...