Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...

Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The system generated complex signals, demonstrating that biological networks can ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

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 ...

Managing municipal living plastic waste (MLPW) entails complex system-level challenges across collection, recycling, and treatment, necessitating ...

This study developed and validated an AI-driven, transferable city-scale assessment framework for municipal living plastic ...

Tolt Technologies' Ability Drive® Now Supports the Smartbox Grid Pad EVO Eye Gaze Camera. We are thrilled to add the ...