In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

You can probably remember at least one education choice you regret. You don't have to be lazy or naive to pick the wrong subject, just lacking in information about what you will actually have to study ...

At random, I chose glm-4.7-flash, from the Chinese AI startup Z.ai. Weighing in at 30 billion "parameters," or neural weights, GLM-4.7-flash would be a "small" large language model by today's ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

Objectives Maternal dietary practices are vital for improving maternal and neonatal outcomes. However, comprehensive ...

Introduction One of the challenges in managing patients with hantavirus infection is accurately identifying individuals who are at risk of developing severe disease. Prompt identification of these ...

This systematic review and meta-analysis identified prognostic factors associated with early mortality in septic shock. The identification of these prognostic factors could aid in clinical risk ...