A new method, which uses synthetic datasets and transfer learning to overcome data scarcity and variability, significantly ...

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

How can developers optimize their systems using the opportunities offered by open-source AI and robot-control software?

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired system that recognises patterns and features in ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

Guwahati has developed an underwater vibration sensor that enables automated and contactless voice recognition.Conducted ...

IIT Guwahati and Ohio State University researchers have created an innovative underwater vibration sensor that offers ...

In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional Neural Network Convolution Operation faces two problems: 1.) The size of ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical ...