Opinion
The Zimbabwe Independent on MSNOpinion

AI vs SI: The future of machine cognition

Since artificial intelligence (AI) became mainstream, many have viewed it as the future, with some predicting it will replace humans in various domains. SINCE artificial intelligence (AI) became ...
Live Science

What's the difference between a turtle and a tortoise?

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Turtles and tortoises are both reptiles with shells, but they're not exactly the same. So how can ...
TheServerSide

The difference between precision vs. recall in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...
C&EN

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science Workshop

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...
C&EN

Data-Efficient Machine Learning for Layer Number Identification of 2D Materials Using Color Difference Analysis

Department of Physics, Ewha Womans University, Seoul 03760, Republic of Korea Department of Computer Science and Engineering, Ewha Womans University, Seoul 03760, Republic of Korea ...
IEEE

Riverbed evolution simulation and application based on machine learning

Abstract: In the process of riverbed evolution, the hydrodynamic model and sediment transport model are generally used to decouple riverbed deformation. Based on the numerical simulation results of ...
Frontiers

Machine learning and deep learning in diabetology: revolutionizing diabetes care

Diabetes is a chronic disease affecting over 400 million people globally, with its prevalence expected to rise sharply in the coming decades due to ageing populations, sedentary lifestyles, and ...
IEEE

Evaluation of Machine Unlearning Through Model Difference

Abstract: Increasing attention is being paid to machine unlearning, which supports individuals’ “right to be forgotten.” While most studies focus on the efficiency and effectiveness of unlearning ...
BMJ

Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review

3 Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 4 Yong Loo Lin School of Medicine, National University of Singapore, Singapore 5 ...
Frontiers

A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients

Background: Accurately predicting the short-term in-hospital mortality risk for patients with stroke and TBI (Traumatic Brain Injury) is crucial for improving the quality of emergency medical care.
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...