Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

The field of cardiovascular diagnostics is undergoing a transformative shift with the advent of artificial intelligence (AI)-enhanced electrocardiography ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Data, whether in its raw or processed form, is the basis on which contemporary technologies are established. Nevertheless, data itself is not very valuable unless it is properly structured, processed, ...

Speaking from the FCI Seagoville federal prison, where he is serving a 12. 5-year sentence for receiving child p---ography, disgraced reality starJosh Duggar expressed his support for his brother ...

This article explores how multiomics integration, imaging, and bioinformatics are advancing biomarker discovery, revealing ...