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 ...

Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The ...

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

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 ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

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 ...