The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

For organizations with transportation fleets, the potential applications of agentic AI are especially compelling.

The application’s recent development efforts enhance internal theft analysis, using machine learning (ML) to continuously ...

When it comes to automobiles, no matter how well they are maintained, at some point the check engine light is going to come ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

While many have blamed human error for the fatal accident, deploying AI analytics systems could assist airlines in managing ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

The last stronghold of human labor in warehouses – the grueling job of loading and unloading trucks – is rapidly giving way ...