Deep Learning: A subset of machine learning that employs multi-layered neural networks to learn data representations and extract complex features from high-dimensional data.

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

MICB and NOTCH4 were expressed in fibroblasts and endothelial cells, two cell types that play central roles in fibrosis and vasculopathy.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Some key features to look for in an AI database include scalability, performance, ease of use, support for machine learning algorithms, and compatibility with existing tools and infrastructure.

By the end of the course, you will have developed the ability to understand how machine learning can be integrated into current business models and the challenges that this poses. Hear from some of ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Discover 8 engineering marvels of the Katra-Srinagar Rail Link (USBRL Project), including India’s longest tunnels, highest rail bridge, and first cable-stayed railway bridge.