Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...

Artificial intelligence and machine learning are reshaping how investors build and maintain portfolios. These tools bring ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Digital twins, combined with edge AI, have proven capable of reducing the operational expenditure of smart buildings.

Bihar's villages are now India's unseen air pollution hubs. New study shows rural air often deadlier than Delhi's.

Researchers at Örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

The researchers combined temporal convolutional networks and long short-term memory networks for analysing the signals.

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...