In the evolving landscape of enterprise cloud systems and AI-based services, ensuring reliable, observable, and scalable ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Traditional AI-powered waste classification systems rely on supervised learning methods. These require extensive labeled ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Today’s cuff technique for measuring blood pressure (BP) goes back 100 years or so. While the sensors used to measure ...

The appearance of facial cosmetics is letting underage users, mostly girls, slip past selfie-based age checks on platforms ...

A research team leverages chlorophyll fluorescence (ChlF) imaging, a cutting-edge technique, to identify reliable pre-symptomatic diagnostic indicators for rice blast and brown spot.

While no single person is to blame, it’s clear that institutional fear—shaped by a broader climate of political hostility ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Traditional audits of mobile apps typically involve conducting a review their source code. 11,27 Such processes, however, do ...