The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
IEEE

Land Use and Land Cover Change Detection of Pattanamthitta District Using Semi-Automatic Classification Method

Abstract: The analysis of satellite images of the earth's surface allows the detection of both natural and human-induced spatial and temporal changes. By anticipating these changes in real time, ...
IEEE

Soil Classification Using Deep Learning Techniques

Abstract: The objective of this project is to classify the four types of soil images using deep learning models that is the Convolutional Neural Networks (CNN) and the Artificial Neural Networks (ANN) ...

Unpicking How to Measure the Complexity of Knots

Two mathematicians have proved that a straightforward question—how hard is it to untie a knot?—has a complicated answer.

Agentive AI in Healthcare Market Set to Surpass USD 10.86 Billion by 2032, Fueled by Automation and Clinical Innovation – SNS Insider

SNS Insider projects the U.S. Agentive AI in Healthcare Market to grow from USD 200.22 Million in 2024 to USD 3957.44 Million by 2032, at a CAGR of 45.16%.Austin, Nov. 07, 2025 (GLOBE NEWSWIRE) -- ...