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 ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

Researchers in China have created a dataset of various PV faults and normalised it to accommodate different array sizes and ...

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 ...

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' ...

AI has brought a paradigm shift to this. It enabled groundbreaking features such as adaptive navigation, real-time anomaly ...

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