Rose Hecksher Schamberger shares how to move AI from "cool demo" to scalable reality. Focus on data quality, clear operating ...

Published January 7 in the journal Nature, one paper tackled the age-old problem of nature’s construction with a bit of a twist: it suggests that living networks, like our brain, may use some of the ...

A consortium led by SK Telecom has built a sovereign AI model designed to reduce reliance on foreign tech, lower costs for ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Vertical, convective, thermal energy transport is examined outside the box of microscale turbulent dispersion or unstable air ...

Inspired by neurobiology, our framework aims to give generative AI a semblance of these capabilities by using what we call a metacognitive state vector, which is essentially a quantified measure of ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

Abstract: Research on pumping devices aiming at enhanced controllability and seamless integration with pneumatic actuators represents a key focus in soft robotics currently. In our previous work, a ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Abstract: The paper considers the significance of the modeling and control problems solving for the pressure swing adsorption process in high-purity hydrogen production systems. The problem of ...