Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

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 ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

If you are also thinking of building a career in AI by taking an online course from home, then IIT Kharagpur is giving you a ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human–machine ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...