Soil freeze–thaw (FT) cycles play a crucial role in land–atmosphere energy exchange and climate regulation, yet accurate ...

A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low ...

Researchers have developed a method to calculate whether someone's brain is aging faster or slower than their chronological ...

If you’ve ever watched a heist movie, you know the drill: before the actual robbery, the crew runs through simulations, testing security systems, identifying weak points, and rehearsing their approach ...

Cells process dynamic signaling inputs to regulate fate decisions during development. While oscillations or waves in key developmental pathways, such as Wnt, have been widely observed, the principles ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

A research team has developed CitrusGAN, a generative adversarial network (GAN)-based deep learning framework that ...