The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

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

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

Masai, India’s leading outcome-driven EdTech platform, has launched its 4-month Applied AI and ML Essentials certification ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational modeling, genomics and drug development. The authors highlight how ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...

The rapid development of artificial intelligence (AI), particularly in foundation models such as large language models, has ...

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