Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

To achieve high classification accuracy and as little manual intervention as possible, a convolutional dynamically convergent differential neural network (ConvDCDNN) is proposed for solving the ...

With PRAYAS 3.0, IIT Mandi continues its efforts to train the next generation of tech professionals. By combining hands-on ...

MITS ECE students create AI-powered skin disease detection system, honored by management for innovative achievement.

In a significant advancement for hand rehabilitation, researchers from Zhengzhou University have introduced a non-hand-worn, ...

That one innovation — letting AI "pay attention" to all the words at once — transformed everything. It made models smarter, training faster, and scaling much, much bigger. Translation systems suddenly ...

The study finds that AI systems have been most effectively applied in identifying risks for preeclampsia, gestational ...

Evolv stock is overvalued relative to peers; hence, I caution investors to maintain a hold while waiting for a good entry ...

M (@3M) and Discovery Education (@DiscoveryEd) today announced the recipients in the 2025 Alumni Grants Program. As part of ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

Innatera, a developer of neuromorphic processors, has launched Pulsar, its first commercially available microcontroller to ...

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on co ...