In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...

In this video, we will understand what is Stride in Convolutional Neural Network. While performing Convolution operation on an image, we move our filter by 1 pixel. It is called having the stride = 1.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive ...

A team of researchers in Norway, home to the largest remaining wild salmon populations as well as one of the largest ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

SiEngine announced that its 7-nanometer advanced driver-assistance chips, AD1000 and AD800, had officially entered mass production.

Abstract: This research introduces a novel deep learning for channel estimation for the 6G networks. The channel estimation for the 6G networks is employed using the proposed Improved Convolutional ...

Abstract: Indoor localization technology, a core component of applications such as smart homes and the Internet of Things (IoT), has attracted considerable attention in recent years. Fingerprint-based ...