Wildlife trafficking is one of the world's most widespread illegal trades, contributing to biodiversity loss, organized crime, and public health risks. Once concentrated in physical markets, much of ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Companies developing AI models to power humanoid and other robots have been hard at work collecting videos and other data for ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

The artist and writer’s book highlights how humans find, reinvent, deconstruct and reconstruct ourselves through technologically mediated feedback loops ...

While public debate over artificial intelligence fixates on mass unemployment and dystopian job losses, regulators and economists are quietly documenting a different problem: companies exaggerating ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.