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Interesting Engineering11h
MIT's new tech enables robots to act in real time, plan thousands of moves in seconds
MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.
Specific learning strategies can enhance AI model effectiveness in hospitals
If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...
IEEE9d
Predicting Chronic Kidney Disease Using Machine Learning Algorithms
However, because CKD (Chronic Kidney disease) is a disease with no symptoms or, in some cases, no symptoms at all, it is difficult to predict, detect, and prevent such a disease, which could result in ...
SciELO16d
Property prediction of AZ80 magnesium alloy: an extreme learning machine model optimized by a new improved sparrow search algorithm
In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...
The New York Times23d
The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It
Students call it hypocritical ... to come up with rules because reasonable A.I. use may vary depending on the subject. The Center for Teaching, Learning and Assessment, where he is a fellow, ...
C&EN25d
A Hybrid Machine Learning Framework for Predicting Hydrogen Storage Capacities in Metal Hydrides: Unsupervised Feature Learning with Deep Neural Networks
Find more information about Crossref citation counts. The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon ...
Frontiers25d
Machine learning-based ultrasound radiomics for predicting risk of recurrence in breast cancer
The informative radiomics features were screened using the minimum redundancy maximum relevance (mRMR) and the least absolute shrinkage and selection operator (LASSO) algorithms ... machine ...
Frontiers25d
Using Generalizability Theory to examine the effects of presentation order on classroom observation scores
That is, the observation system does not employ missings by design. Table 2. Example items and indicators for the three basic dimensions. Scores were assigned using Interact ... of a study is to ...
The New York Times27d
Has America Given Up on Children’s Learning?
Politicians used to care how much students learn. Now, to find a defense of educational excellence, we have to look beyond politics. Credit...Photo illustration by Alex Merto Supported by By Dana ...
BMJ27d
Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey
Objectives This study aimed to employ machine learning algorithms to predict the factors contributing ... ability to generalise to unseen data using performance metrics such as accuracy, precision, ...
IEEE28d
Exploring the Drivers Predicting Behavioral Intention to Use m-Learning Management System: Partial Least Square Structural Equation Model
Abstract: This study aimed at reporting the drivers predicting Pre-Service English Teachers' (PSETs) behavioral intention to use m-learning Management Systems (m-LMS) in their learning activities. To ...