Can we reduce AI’s environmental cost? |Euronews Tech Talks

AI has a significant environmental impact — one that is difficult to quantify due to companies' lack of transparency with ...
Journal of Epidemiology and Community Health (JECH)

Scalable regionalised quality improvement model for ACS management in resource-limited primary healthcare facilities

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Gut

CD48 is a novel immune checkpoint on tumour‐associated macrophages in hepatocellular carcinoma

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality with limited therapeutic options. Despite ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Telangana Tribune

Gig Workers’ Nationwide Strike Highlights Legal Status and Pay Concerns

A nationwide strike by gig and platform workers is underway today as delivery partners across India protest pay cuts, safety risks and the lack ...

The Human Engine Behind Artificial Intelligence: How Crowdsourcing Is Powering The Next AI Revolution

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
Gut

Proton pump inhibitors use and risk of inflammatory bowel disease in children

A recent randomised controlled trial showed that proton pump inhibitors (PPIs), compared with histamine-2 receptor antagonists (H2RAs), induce greater gut microbiome alterations and oral-to-gut ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

Improved KNN text classification algorithm with MapReduce implementation

Abstract: The classic K-Nearest Neighbor (KNN) classification algorithm is widely used in text classification. This paper proposes an efficient algorithm for text classification by improving the ...
IEEE

Multi - Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer

Abstract: This paper studies a text classification algorithm based on an improved Transformer to improve the performance and efficiency of the model in text classification tasks. Aiming at the ...
TechCrunch

Instagram’s new ‘Your Algorithm’ tool gives you more control over the Reels you see

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...
SciELO

Cost-Sensitive Algorithms for Text Classification in the Legal Domain: Addressing Imbalanced Lawsuit Themes

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...