Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Is brain imaging overlooking the truth? Research shows that "weak" brain connections predict behavior as well as top signals, ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

The music industry is in the grip of an intensifying debate over how AI-generated derivatives of existing music should be ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

At Data Center World, an exclusive C-suite conversation traced how AI demand is transforming infrastructure, expectations, ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A ...

Pioneer turns language model development and fine-tuning from a months-long, expert-driven workflow into a single prompt and introduces adaptive inference, a new category in model serving where ...

Researchers identified a small panel of inflammatory and neurology-related blood proteins that may help distinguish long ...