Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

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

She went from running a dry-cleaning shop in New Jersey to quietly igniting the deep learning revolution that powers today’s ...

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, ...

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

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 ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...

The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries.

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 ...