Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
ABC News

Instagram gives users control of their algorithms in new feature

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...
The New York Times

I’m Building an Algorithm That Doesn’t Rot Your Brain

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...
Phys.org

Google claims its latest quantum algorithm can outperform supercomputers on a real-world task

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world's ...
The Conversation

ByteDance’s agreement to sell TikTok puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works and what’s to come

Kelley Cotter has received funding from the National Science Foundation. Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S.
IEEE

Speech Emotional Recognition using XGBoost and Deep Learning Algorithm and Multisource Datasets

Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...
Scientific Research Publishing

Zhang, Y. (2022) Stock Price Prediction Method Based on Xgboost Algorithm. Atlantis Press International BV.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Frontiers

Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset

Tunnels constitute a prevalent form of underground infrastructure, the construction of which entails a multitude of risks and challenges (Kim J. et al., 2022; Liu et al., 2022). Tunnel water inflow ...
Frontiers

Explainable machine learning to predict the cost of capital

This study investigates the impact of financial and non-financial factors on a firm's ex-ante cost of capital, which is the reflection of investors' perception on a firm's riskiness. Departing from ...
Scientific Research Publishing

A Comparative Analysis of the Performance of Machine Learning and Deep Learning Techniques in Predicting Stock Prices ()

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...