Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

Media ML Data Engineering, alongside a Media Data Lake designed to handle video, audio, text, and image assets at scale.

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

Economists trained an A.I. to detect emotion in 600,000 paintings spanning six centuries, revealing how art mirrors consumer ...

Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model ...

From self-instructed house robots to focused data analysis, agentic AI promises convenience and efficiency. However, with that shift comes much deeper access to our personal data, which raises new ...

While technology has long influenced urban development, from early computational tools in the 1950s to today’s data-rich planning ecosystems, the pace and scope of AI adoption have outstripped ...