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Blink, Predict, Smash: MIT’s 42 MPH Ping Pong Bot Is Freakishly Fast
In real-world testing, engineers launched 150 balls at the robot in rapid succession. The bot returned nearly 88 percent of ...
IEEE5d
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 ...
SciELO12d
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 Times19d
The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It
Students call it hypocritical ... forbade “academically dishonest activities,” including the unauthorized use of artificial intelligence or chatbots. We are having trouble retrieving the ...
C&EN21d
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 ...
Frontiers21d
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 ...
Frontiers21d
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 Times23d
Has America Given Up on Children’s Learning?
But none of that amounts to an agenda on learning, either. All of this is true despite the fact that reading scores are the ... the number of students using some form of private school voucher ...
marktechpost23d
Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained Efficiently on Ascend NPUs Using Simulation-Driven Architecture and System-Level Optimization
Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to scale efficiently by activating only a subset of parameters per token.
BMJ23d
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, ...
IEEE25d
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 ...
The Lancet25d
FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study
aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...