In this context, AI consulting emerges as a bridge between raw technology and business value, helping organizations move from ad hoc experiments to a deliberate, measurable AI strategy. Unlike ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...