A new junior research group began its work on April 15, 2026, at the Leibniz Institute for Food Systems Biology at the Technical University of Munich. Led by Dr. Nikolai Köhler, the Integrative Food ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

Modern predictive maintenance depends on sensors and data streams that double as attack surfaces. Protecting the grid now ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Artificial intelligence is rapidly transforming how scientists study and protect the environment, shifting the field from traditional observation toward predictive, data-driven discovery. A new ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

What is the most efficient way to extract maximum value from a finite mineral resource while balancing cost, safety, and ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.

An AI model applied to pathology slides accurately predicts immunotherapy response in patients with metastatic non-small cell ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...