Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to create compact gamma-ray sources that are simultaneously brighter, sharper, ...

Changing field terrain is a challenge for autonomous equipment. The University of Manitoba is looking at these farm-specific obstacles to adopting autonomy.

The radiation environment near Earth remains a challenging topic of study due to its complex dynamics, spanning multiple energy and temporal scales. During ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific sesamoid bone in a hummingbird? Can you identify closed syllables in Biblical ...