Galaxy groups hiding in the universe's emptiest places

Imagine standing in the emptiest place the universe has to offer, a stretch of cosmic ocean so vast that light takes tens of ...
Hosted on MSN

The process that makes deep ocean water drinkable

Fresh drinking water could soon come from the depths of the ocean. New technologies are harnessing the immense natural pressure found deep underwater to convert seawater into freshwater more ...
The Conversation

AI doesn’t just help us think, it thinks instead of us: what this means for the process of learning

Deep in Book VII of Plato’s Republic, Socrates describes prisoners chained inside a cave, mistaking shadows cast on a wall by firelight for reality itself. They name the shadows, debate them and ...
Frontiers

Deployable deep learning for flow-field reconstruction: sparse measurements, physical credibility, and generalization

High-resolution flow fields are essential for understanding, predicting, and controlling fluid systems, yet they remain difficult to obtain from either experiments or high-fidelity simulations.
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Greek barbecue fries deep-fried in olive oil over a traditional wood fire | Full process

Deep fried potatoes are a delicacy on the Greek island of Naxos, renowned for its rich soil influenced by Aegean Sea breezes. This video showcases a visit to Perivoli Farm, where traditional deep ...
Frontiers

Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning

The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two ...
Roll Call

NOAA speeds up process to grant deep-sea mining permits

The Trump administration, with the support of many congressional Republicans, is looking to boost deep-sea mining as a way to counter Chinese dominance of critical minerals supply chains. The National ...
IEEE

Gaussian Process-Based Learning Model Predictive Control With Application to Flywheel Battery System

Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...
EurekAlert!

A physics-constrained AI framework enables accurate thermal field inversion for chiplet-based packaging with sparse data

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...