The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Abstract: Accurate depiction of the process characteristics of dynamic multiphase flows using a data-driven model is a challenge in industrial practices. Collection of sufficient data is costly and ...

The pilot phase is over. Enterprises don’t have an AI problem. They have an execution problem. For most of the past deca ...

Google researchers have published a preprint defining a new model family called Gemini Robotics 1.5, designed to give robots the ability to reason about physical tasks, transfer motion skills across ...

Process analytical technology enables data-driven scale-up by embedding real-time analytics from development through ...

Lost Lantern’s United States of Bourbon has made history just in time for America’s 250th birthday. The five-year project ...

Abstract: This brief proposes a new linear fractional transformation (LFT) modeling approach for uncertain linear parameter-varying (LPV) multibody systems with parameter-dependent equilibrium.

In recent years, network and complexity science has seen a massive surge in models using hypergraphs and simplicial complexes to represent higher-order ...

Customer service organizations are no longer managing people alone — they’re orchestrating service reps and AI agents working side by side. As AI takes on more work, leaders need a new way to plan, ...

The Congo River is the second-largest river in the world, releasing an average of 40,000 cubic meters of water per second into the Atlantic Ocean. This huge discharge rate creates a large plume of ...

Artificial intelligence (AI) is profoundly reshaping education worldwide. While AI tools increasingly support students in ...

Discover the top warehouse automation trends reshaping industrial logistics over the next five years, from AI and AMRs to smart end-of-line packaging.